Doesn't matter

Doesn't matter

-

nothing at all apart from typical image generation progress

none

none

--listen --port 7861  --skip-version-check --skip-torch-cuda-test --skip-python-version-check --opt-split-attention-v1 --xformers --no-half-vae --api --vae-path .\\payload\\vae-ft-mse-840000-ema-pruned.ckpt --enable-insecure-extension-access

2023-07-18 17:25:06,318 - AnimateDiff - INFO - Removing motion module from SD1.5 UNet input blocks.01<00:00, 17.91it/s]
2023-07-18 17:25:06,318 - AnimateDiff - INFO - Removing motion module from SD1.5 UNet output blocks.
2023-07-18 17:25:06,318 - AnimateDiff - INFO - Removal finished.
2023-07-18 17:25:06,319 - AnimateDiff - INFO - Merging images into GIF.
2023-07-18 17:25:06,380 - AnimateDiff - INFO - AnimateDiff process end.

--deepdanbooru --no-half-vae --xformers

Note*: Attempted without xformers as well.

Traceback (most recent call last):
      File "B:\AiGen\stable-diffusion-webui\modules\call_queue.py", line 55, in f
        res = list(func(*args, **kwargs))
      File "B:\AiGen\stable-diffusion-webui\modules\call_queue.py", line 35, in f
        res = func(*args, **kwargs)
      File "B:\AiGen\stable-diffusion-webui\modules\txt2img.py", line 57, in txt2img
        processed = processing.process_images(p)
      File "B:\AiGen\stable-diffusion-webui\modules\processing.py", line 620, in process_images
        res = process_images_inner(p)
      File "B:\AiGen\stable-diffusion-webui\extensions\sd-webui-controlnet\scripts\batch_hijack.py", line 42, in processing_process_images_hijack
        return getattr(processing, '__controlnet_original_process_images_inner')(p, *args, **kwargs)
      File "B:\AiGen\stable-diffusion-webui\modules\processing.py", line 739, in process_images_inner
        samples_ddim = p.sample(conditioning=p.c, unconditional_conditioning=p.uc, seeds=p.seeds, subseeds=p.subseeds, subseed_strength=p.subseed_strength, prompts=p.prompts)
      File "B:\AiGen\stable-diffusion-webui\modules\processing.py", line 992, in sample
        samples = self.sampler.sample(self, x, conditioning, unconditional_conditioning, image_conditioning=self.txt2img_image_conditioning(x))
      File "B:\AiGen\stable-diffusion-webui\modules\sd_samplers_compvis.py", line 222, in sample
        samples_ddim = self.launch_sampling(steps, lambda: self.sampler.sample(S=steps, conditioning=conditioning, batch_size=int(x.shape[0]), shape=x[0].shape, verbose=False, unconditional_guidance_scale=p.cfg_scale, unconditional_conditioning=unconditional_conditioning, x_T=x, eta=self.eta)[0])
      File "B:\AiGen\stable-diffusion-webui\modules\sd_samplers_compvis.py", line 51, in launch_sampling
        return func()
      File "B:\AiGen\stable-diffusion-webui\modules\sd_samplers_compvis.py", line 222, in <lambda>
        samples_ddim = self.launch_sampling(steps, lambda: self.sampler.sample(S=steps, conditioning=conditioning, batch_size=int(x.shape[0]), shape=x[0].shape, verbose=False, unconditional_guidance_scale=p.cfg_scale, unconditional_conditioning=unconditional_conditioning, x_T=x, eta=self.eta)[0])
      File "B:\AiGen\stable-diffusion-webui\venv\lib\site-packages\torch\utils\_contextlib.py", line 115, in decorate_context
        return func(*args, **kwargs)
      File "B:\AiGen\stable-diffusion-webui\repositories\stable-diffusion-stability-ai\ldm\models\diffusion\ddim.py", line 104, in sample
        samples, intermediates = self.ddim_sampling(conditioning, size,
      File "B:\AiGen\stable-diffusion-webui\venv\lib\site-packages\torch\utils\_contextlib.py", line 115, in decorate_context
        return func(*args, **kwargs)
      File "B:\AiGen\stable-diffusion-webui\repositories\stable-diffusion-stability-ai\ldm\models\diffusion\ddim.py", line 164, in ddim_sampling
        outs = self.p_sample_ddim(img, cond, ts, index=index, use_original_steps=ddim_use_original_steps,
      File "B:\AiGen\stable-diffusion-webui\modules\sd_samplers_compvis.py", line 58, in p_sample_ddim_hook
        res = self.orig_p_sample_ddim(x_dec, cond, ts, *args, unconditional_conditioning=unconditional_conditioning, **kwargs)
      File "B:\AiGen\stable-diffusion-webui\venv\lib\site-packages\torch\utils\_contextlib.py", line 115, in decorate_context
        return func(*args, **kwargs)
      File "B:\AiGen\stable-diffusion-webui\repositories\stable-diffusion-stability-ai\ldm\models\diffusion\ddim.py", line 212, in p_sample_ddim
        model_uncond, model_t = self.model.apply_model(x_in, t_in, c_in).chunk(2)
      File "B:\AiGen\stable-diffusion-webui\modules\sd_hijack_utils.py", line 17, in <lambda>
        setattr(resolved_obj, func_path[-1], lambda *args, **kwargs: self(*args, **kwargs))
      File "B:\AiGen\stable-diffusion-webui\modules\sd_hijack_utils.py", line 28, in __call__
        return self.__orig_func(*args, **kwargs)
      File "B:\AiGen\stable-diffusion-webui\repositories\stable-diffusion-stability-ai\ldm\models\diffusion\ddpm.py", line 858, in apply_model
        x_recon = self.model(x_noisy, t, **cond)
      File "B:\AiGen\stable-diffusion-webui\venv\lib\site-packages\torch\nn\modules\module.py", line 1501, in _call_impl
        return forward_call(*args, **kwargs)
      File "B:\AiGen\stable-diffusion-webui\repositories\stable-diffusion-stability-ai\ldm\models\diffusion\ddpm.py", line 1335, in forward
        out = self.diffusion_model(x, t, context=cc)
      File "B:\AiGen\stable-diffusion-webui\venv\lib\site-packages\torch\nn\modules\module.py", line 1501, in _call_impl
        return forward_call(*args, **kwargs)
      File "B:\AiGen\stable-diffusion-webui\modules\sd_unet.py", line 91, in UNetModel_forward
        return ldm.modules.diffusionmodules.openaimodel.copy_of_UNetModel_forward_for_webui(self, x, timesteps, context, *args, **kwargs)
      File "B:\AiGen\stable-diffusion-webui\repositories\stable-diffusion-stability-ai\ldm\modules\diffusionmodules\openaimodel.py", line 802, in forward
        h = module(h, emb, context)
      File "B:\AiGen\stable-diffusion-webui\venv\lib\site-packages\torch\nn\modules\module.py", line 1501, in _call_impl
        return forward_call(*args, **kwargs)
      File "B:\AiGen\stable-diffusion-webui\extensions\sd-webui-animatediff\scripts\animatediff.py", line 19, in mm_tes_forward
        x = layer(x, emb)
      File "B:\AiGen\stable-diffusion-webui\venv\lib\site-packages\torch\nn\modules\module.py", line 1501, in _call_impl
        return forward_call(*args, **kwargs)
      File "B:\AiGen\stable-diffusion-webui\repositories\stable-diffusion-stability-ai\ldm\modules\diffusionmodules\openaimodel.py", line 249, in forward
        return checkpoint(
      File "B:\AiGen\stable-diffusion-webui\repositories\stable-diffusion-stability-ai\ldm\modules\diffusionmodules\util.py", line 121, in checkpoint
        return CheckpointFunction.apply(func, len(inputs), *args)
      File "B:\AiGen\stable-diffusion-webui\venv\lib\site-packages\torch\autograd\function.py", line 506, in apply
        return super().apply(*args, **kwargs)  # type: ignore[misc]
      File "B:\AiGen\stable-diffusion-webui\repositories\stable-diffusion-stability-ai\ldm\modules\diffusionmodules\util.py", line 136, in forward
        output_tensors = ctx.run_function(*ctx.input_tensors)
      File "B:\AiGen\stable-diffusion-webui\repositories\stable-diffusion-stability-ai\ldm\modules\diffusionmodules\openaimodel.py", line 262, in _forward
        h = self.in_layers(x)
      File "B:\AiGen\stable-diffusion-webui\venv\lib\site-packages\torch\nn\modules\module.py", line 1501, in _call_impl
        return forward_call(*args, **kwargs)
      File "B:\AiGen\stable-diffusion-webui\venv\lib\site-packages\torch\nn\modules\container.py", line 217, in forward
        input = module(input)
      File "B:\AiGen\stable-diffusion-webui\venv\lib\site-packages\torch\nn\modules\module.py", line 1501, in _call_impl
        return forward_call(*args, **kwargs)
      File "B:\AiGen\stable-diffusion-webui\modules\sd_hijack_utils.py", line 17, in <lambda>
        setattr(resolved_obj, func_path[-1], lambda *args, **kwargs: self(*args, **kwargs))
      File "B:\AiGen\stable-diffusion-webui\modules\sd_hijack_utils.py", line 28, in __call__
        return self.__orig_func(*args, **kwargs)
      File "B:\AiGen\stable-diffusion-webui\repositories\stable-diffusion-stability-ai\ldm\modules\diffusionmodules\util.py", line 226, in forward
        return super().forward(x.float()).type(x.dtype)
      File "B:\AiGen\stable-diffusion-webui\venv\lib\site-packages\torch\nn\modules\normalization.py", line 273, in forward
        return F.group_norm(
      File "B:\AiGen\stable-diffusion-webui\venv\lib\site-packages\torch\nn\functional.py", line 2530, in group_norm
        return torch.group_norm(input, num_groups, weight, bias, eps, torch.backends.cudnn.enabled)
    RuntimeError: Expected weight to be a vector of size equal to the number of channels in input, but got weight of shape [2560] and input of shape [32, 5120, 12, 8]

---

no

2023-07-30 16:10:55,846 - shared.py [line:200] - INFO: Starting job task(n9qtofso90h7tar)
2023-07-30 16:10:55,846 - AnimateDiff - INFO - AnimateDiff process start with video Max frames 16, FPS 8, duration 2.0,  motion module mm_sd_v15.ckpt.
2023-07-30 16:10:55,849 - AnimateDiff - INFO - Hacking GroupNorm32 forward function.
2023-07-30 16:10:55,849 - AnimateDiff - INFO - Injecting motion module mm_sd_v15.ckpt into SD1.5 UNet input blocks.
2023-07-30 16:10:55,849 - AnimateDiff - INFO - Injecting motion module mm_sd_v15.ckpt into SD1.5 UNet output blocks.
2023-07-30 16:10:55,849 - AnimateDiff - INFO - Injection finished.
2023-07-30 16:10:55,851 - dynamic_prompting.py [line:509] - INFO: Prompt matrix will create 16 images in a total of 1 batches.
Miaoshouai boot assistant: Memory Released!
2023-07-30 16:11:25,342 - AnimateDiff - INFO - Removing motion module from SD1.5 UNet input blocks.
2023-07-30 16:11:25,342 - AnimateDiff - INFO - Removing motion module from SD1.5 UNet output blocks.
2023-07-30 16:11:25,343 - AnimateDiff - INFO - Restoring GroupNorm32 forward function.
2023-07-30 16:11:25,343 - AnimateDiff - INFO - Removal finished.
2023-07-30 16:11:25,343 - AnimateDiff - INFO - Merging images into GIF.
2023-07-30 16:11:27,255 - AnimateDiff - INFO - AnimateDiff process end.
*** Error completing request
*** Arguments: ('task(n9qtofso90h7tar)', '<lora:SMDS_2_standard_Lion-000018:0.65>, desert, smds, sculpture, art, no humans, realistic, abstract, solo, hole, tentacles, lamp, metal, metal, reflection,', '((((blurry)))), ((signature)), ((watermark)), ((((blur)))), wall, ((pedestal)), circle,', [], 20, 18, False, False, 1, 1, 7, 8901234568.0, -1.0, 0, 0, 0, False, 512, 768, False, 0.35, 2, '4x-UltraSharp', 20, 0, 0, 0, '', '', [], <gradio.routes.Request object at 0x000001FDAAA531F0>, 0, '<span>(No stats yet, run benchmark in VRAM Estimator tab)</span>', False, {'ad_model': 'face_yolov8n.pt', 'ad_prompt': '', 'ad_negative_prompt': '', 'ad_confidence': 0.3, 'ad_mask_min_ratio': 0, 'ad_mask_max_ratio': 1, 'ad_x_offset': 0, 'ad_y_offset': 0, 'ad_dilate_erode': 4, 'ad_mask_merge_invert': 'None', 'ad_mask_blur': 4, 'ad_denoising_strength': 0.4, 'ad_inpaint_only_masked': True, 'ad_inpaint_only_masked_padding': 32, 'ad_use_inpaint_width_height': False, 'ad_inpaint_width': 512, 'ad_inpaint_height': 512, 'ad_use_steps': False, 'ad_steps': 28, 'ad_use_cfg_scale': False, 'ad_cfg_scale': 7, 'ad_use_sampler': False, 'ad_sampler': 'Euler a', 'ad_use_noise_multiplier': False, 'ad_noise_multiplier': 1, 'ad_restore_face': False, 'ad_controlnet_model': 'None', 'ad_controlnet_module': 'inpaint_global_harmonious', 'ad_controlnet_weight': 1, 'ad_controlnet_guidance_start': 0, 'ad_controlnet_guidance_end': 1, 'is_api': ()}, {'ad_model': 'None', 'ad_prompt': '', 'ad_negative_prompt': '', 'ad_confidence': 0.3, 'ad_mask_min_ratio': 0, 'ad_mask_max_ratio': 1, 'ad_x_offset': 0, 'ad_y_offset': 0, 'ad_dilate_erode': 4, 'ad_mask_merge_invert': 'None', 'ad_mask_blur': 4, 'ad_denoising_strength': 0.4, 'ad_inpaint_only_masked': True, 'ad_inpaint_only_masked_padding': 32, 'ad_use_inpaint_width_height': False, 'ad_inpaint_width': 512, 'ad_inpaint_height': 512, 'ad_use_steps': False, 'ad_steps': 28, 'ad_use_cfg_scale': False, 'ad_cfg_scale': 7, 'ad_use_sampler': False, 'ad_sampler': 'Euler a', 'ad_use_noise_multiplier': False, 'ad_noise_multiplier': 1, 'ad_restore_face': False, 'ad_controlnet_model': 'None', 'ad_controlnet_module': 'inpaint_global_harmonious', 'ad_controlnet_weight': 1, 'ad_controlnet_guidance_start': 0, 'ad_controlnet_guidance_end': 1, 'is_api': ()}, False, 'MultiDiffusion', False, True, 1024, 1024, 96, 96, 48, 1, 'None', 2, False, 10, 1, 1, 64, False, False, False, False, False, 0.4, 0.4, 0.2, 0.2, '', '', 'Background', 0.2, -1.0, False, 0.4, 0.4, 0.2, 0.2, '', '', 'Background', 0.2, -1.0, False, 0.4, 0.4, 0.2, 0.2, '', '', 'Background', 0.2, -1.0, False, 0.4, 0.4, 0.2, 0.2, '', '', 'Background', 0.2, -1.0, False, 0.4, 0.4, 0.2, 0.2, '', '', 'Background', 0.2, -1.0, False, 0.4, 0.4, 0.2, 0.2, '', '', 'Background', 0.2, -1.0, False, 0.4, 0.4, 0.2, 0.2, '', '', 'Background', 0.2, -1.0, False, 0.4, 0.4, 0.2, 0.2, '', '', 'Background', 0.2, -1.0, False, 1536, 96, True, True, True, False, True, False, 1, False, False, False, 1.1, 1.5, 100, 0.7, False, False, True, False, False, 0, 'Gustavosta/MagicPrompt-Stable-Diffusion', '', False, False, 'LoRA', 'None', 0, 0, 'LoRA', 'None', 0, 0, 'LoRA', 'None', 0, 0, 'LoRA', 'None', 0, 0, 'LoRA', 'None', 0, 0, None, 'Refresh models', True, 0, 16, 8, 'mm_sd_v15.ckpt', <scripts.controlnet_ui.controlnet_ui_group.UiControlNetUnit object at 0x000001FDABACB610>, <scripts.controlnet_ui.controlnet_ui_group.UiControlNetUnit object at 0x000001FDABAC9D50>, <scripts.controlnet_ui.controlnet_ui_group.UiControlNetUnit object at 0x000001FDABACB1F0>, <scripts.controlnet_ui.controlnet_ui_group.UiControlNetUnit object at 0x000001FDABACA140>, False, '', 0.5, True, False, '', 'Lerp', False, 'NONE:0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0\nALL:1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1\nINS:1,1,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0\nIND:1,0,0,0,1,1,1,0,0,0,0,0,0,0,0,0,0\nINALL:1,1,1,1,1,1,1,0,0,0,0,0,0,0,0,0,0\nMIDD:1,0,0,0,1,1,1,1,1,1,1,1,0,0,0,0,0\nOUTD:1,0,0,0,0,0,0,0,1,1,1,1,0,0,0,0,0\nOUTS:1,0,0,0,0,0,0,0,0,0,0,0,1,1,1,1,1\nOUTALL:1,0,0,0,0,0,0,0,1,1,1,1,1,1,1,1,1\nALL0.5:0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5\n身体\nBODY:1,1,1,1,1,1,1,1,0,0,0,1,1,1,1,1,1\nBODY0.5:1,1,1,1,1,1,0.2,1,0.2,0,0,0.8,1,1,1,1,1\n脸部（脸型、发型、眼型、瞳色等）\nFACE:1,0,0,0,0,0,0,0,1,1,1,0,0,0,0,0,0\nFACE0.5:1,0,0,0,0,0,0,0,0.8,1,1,0.2,0,0,0,0,0\nFACE0.2:1,0,0,0,0,0,0,0,0.2,0.6,0.8,0.2,0,0,0,0,0\n修手专用\nHAND:1,0,1,1,0.2,0,0,0,0,0,0,0,0,0,0,0,0\n服装（搭配tag使用）\nCLOTHING:1,1,1,1,1,0,0.2,0,0.8,1,1,0.2,0,0,0,0,0\n动作（搭配tag使用）\nPOSE:1,0,0,0,0,0,0.2,1,1,1,0,0,0,0,0,0,0\n上色风格（搭配tag使用）\nPALETTE:1,0,0,0,0,0,0,0,0,0,0,0.8,1,1,1,1,1\n角色（去风格化）\nKEEPCHAR:1,1,1,1,1,0,0,0,1,1,1,1,1,1,1,0,0\n背景（去风格化）\nKEEPBG:1,1,1,1,1,1,0.2,1,0.2,0,0,0.8,1,1,1,0,0\n减弱过拟合（等同于OUTALL）\nREDUCEFIT:1,0,0,0,0,0,0,0,1,1,1,1,1,1,1,1,1', True, 0, 'values', '0,0.25,0.5,0.75,1', 'Block ID', 'IN05-OUT05', 'none', '', '0.5,1', 'BASE,IN00,IN01,IN02,IN03,IN04,IN05,IN06,IN07,IN08,IN09,IN10,IN11,M00,OUT00,OUT01,OUT02,OUT03,OUT04,OUT05,OUT06,OUT07,OUT08,OUT09,OUT10,OUT11', 1.0, 'black', '20', False, 'ATTNDEEPON:IN05-OUT05:attn:1\n\nATTNDEEPOFF:IN05-OUT05:attn:0\n\nPROJDEEPOFF:IN05-OUT05:proj:0\n\nXYZ:::1', False, False, False, 'Matrix', 'Horizontal', 'Mask', 'Prompt', '1,1', '0.2', False, False, False, 'Attention', False, '0', '0', '0.4', None, None, False, '0', 'D:\\AIGC\\sd-webui-aki-v4.2\\models\\roop\\inswapper_128.onnx', 'CodeFormer', 1, '', 1, 1, False, True, False, False, 0, None, [], 0, False, [], [], False, 0, 1, False, False, 0, None, [], -2, False, [], False, 0, None, None, '🔄', 0.9, 5, '0.0001', False, 'None', '', 0.1, False, False, False, 'positive', 'comma', 0, False, False, '', 1, '', [], 0, '', [], 0, '', [], True, False, False, False, 0, 5, 'all', 'all', 'all', '', '', '', '1', 'none', False, '', '', 'comma', '', True, '', '20', 'all', 'all', 'all', 'all', None, None, False, None, None, False, None, None, False, None, None, False, 50, 'NONE:0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0\nALL:1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1\nINS:1,1,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0\nIND:1,0,0,0,1,1,1,0,0,0,0,0,0,0,0,0,0\nINALL:1,1,1,1,1,1,1,0,0,0,0,0,0,0,0,0,0\nMIDD:1,0,0,0,1,1,1,1,1,1,1,1,0,0,0,0,0\nOUTD:1,0,0,0,0,0,0,0,1,1,1,1,0,0,0,0,0\nOUTS:1,0,0,0,0,0,0,0,0,0,0,0,1,1,1,1,1\nOUTALL:1,0,0,0,0,0,0,0,1,1,1,1,1,1,1,1,1\nALL0.5:0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5\n身体\nBODY:1,1,1,1,1,1,1,1,0,0,0,1,1,1,1,1,1\nBODY0.5:1,1,1,1,1,1,0.2,1,0.2,0,0,0.8,1,1,1,1,1\n脸部（脸型、发型、眼型、瞳色等）\nFACE:1,0,0,0,0,0,0,0,1,1,1,0,0,0,0,0,0\nFACE0.5:1,0,0,0,0,0,0,0,0.8,1,1,0.2,0,0,0,0,0\nFACE0.2:1,0,0,0,0,0,0,0,0.2,0.6,0.8,0.2,0,0,0,0,0\n修手专用\nHAND:1,0,1,1,0.2,0,0,0,0,0,0,0,0,0,0,0,0\n服装（搭配tag使用）\nCLOTHING:1,1,1,1,1,0,0.2,0,0.8,1,1,0.2,0,0,0,0,0\n动作（搭配tag使用）\nPOSE:1,0,0,0,0,0,0.2,1,1,1,0,0,0,0,0,0,0\n上色风格（搭配tag使用）\nPALETTE:1,0,0,0,0,0,0,0,0,0,0,0.8,1,1,1,1,1\n角色（去风格化）\nKEEPCHAR:1,1,1,1,1,0,0,0,1,1,1,1,1,1,1,0,0\n背景（去风格化）\nKEEPBG:1,1,1,1,1,1,0.2,1,0.2,0,0,0.8,1,1,1,0,0\n减弱过拟合（等同于OUTALL）\nREDUCEFIT:1,0,0,0,0,0,0,0,1,1,1,1,1,1,1,1,1', True, 0, 'values', '0,0.25,0.5,0.75,1', 'Block ID', 'IN05-OUT05', 'none', '', '0.5,1', 'BASE,IN00,IN01,IN02,IN03,IN04,IN05,IN06,IN07,IN08,IN09,IN10,IN11,M00,OUT00,OUT01,OUT02,OUT03,OUT04,OUT05,OUT06,OUT07,OUT08,OUT09,OUT10,OUT11', 1.0, 'black', '20', False, 'ATTNDEEPON:IN05-OUT05:attn:1\n\nATTNDEEPOFF:IN05-OUT05:attn:0\n\nPROJDEEPOFF:IN05-OUT05:proj:0\n\nXYZ:::1', False) {}
    Traceback (most recent call last):
      File "D:\AIGC\sd-webui-aki-v4.2\modules\call_queue.py", line 58, in f
        res = list(func(*args, **kwargs))
      File "D:\AIGC\sd-webui-aki-v4.2\modules\call_queue.py", line 37, in f
        res = func(*args, **kwargs)
      File "D:\AIGC\sd-webui-aki-v4.2\modules\txt2img.py", line 62, in txt2img
        processed = processing.process_images(p)
      File "D:\AIGC\sd-webui-aki-v4.2\extensions\sd-webui-prompt-history\lib_history\image_process_hijacker.py", line 25, in process_images
        global_state.add_config( uuid.uuid4().hex, res.prompt[:64], shared.opts.sd_model_checkpoint, res.infotexts[0], res.images[0])
      File "D:\AIGC\sd-webui-aki-v4.2\extensions\sd-webui-prompt-history\scripts\prompt_history_script.py", line 76, in add_config
        new_height = int(new_width * img.height / img.width)
    AttributeError: 'str' object has no attribute 'height'
提示：Python 运行时抛出了一个异常。请检查疑难解答页面。

---

@echo off

set COMMANDLINE_ARGS= --skip-install  --opt-sdp-attention --opt-sdp-no-mem-attention --no-half-vae --medvram
set PYTHON=S:\\Python310\\python.exe
set GIT=
set VENV_DIR=
set --ui-debug-mode= true




call webui.bat

2023-08-03 14:29:26,522 - AnimateDiff - WARNING - Missing keys <All keys matched successfully>
2023-08-03 14:29:27,045 - AnimateDiff - INFO - Hacking GroupNorm32 forward function.
2023-08-03 14:29:27,045 - AnimateDiff - INFO - Injecting motion module mm_sd_v15.ckpt into SD1.5 UNet input blocks.
2023-08-03 14:29:27,046 - AnimateDiff - INFO - Injecting motion module mm_sd_v15.ckpt into SD1.5 UNet output blocks.
2023-08-03 14:29:27,046 - AnimateDiff - INFO - Injection finished.
100%|██████████████████████████████████████████████████████████████████████████████████| 20/20 [03:02<00:00,  9.15s/it]
2023-08-03 14:32:47,567 - AnimateDiff - INFO - Removing motion module from SD1.5 UNet input blocks.51<00:00,  9.00s/it]
2023-08-03 14:32:47,568 - AnimateDiff - INFO - Removing motion module from SD1.5 UNet output blocks.
2023-08-03 14:32:47,568 - AnimateDiff - INFO - Restoring GroupNorm32 forward function.
2023-08-03 14:32:47,569 - AnimateDiff - INFO - Removal finished.
2023-08-03 14:32:47,569 - AnimateDiff - INFO - Merging images into GIF.
2023-08-03 14:32:49,315 - AnimateDiff - INFO - AnimateDiff process end.
Total progress: 100%|██████████████████████████████████████████████████████████████████| 20/20 [03:10<00:00,  9.51s/it]
2023-08-03 14:35:41,962 - AnimateDiff - INFO - AnimateDiff process start with video Max frames 16, FPS 8, duration 2.0,  motion module mm_sd_v15.ckpt.
2023-08-03 14:35:42,850 - AnimateDiff - INFO - Hacking GroupNorm32 forward function.
2023-08-03 14:35:42,851 - AnimateDiff - INFO - Injecting motion module mm_sd_v15.ckpt into SD1.5 UNet input blocks.
2023-08-03 14:35:42,851 - AnimateDiff - INFO - Injecting motion module mm_sd_v15.ckpt into SD1.5 UNet output blocks.
2023-08-03 14:35:42,851 - AnimateDiff - INFO - Injection finished.

-

-

unimportant

unimportant

@echo off

set PYTHON=
set GIT=
set VENV_DIR=
set COMMANDLINE_ARGS= --autolaunch --medvram --no-half-vae --no-half
call webui.bat

Running on local URL:  http://127.0.0.1:7860

To create a public link, set `share=True` in `launch()`.
Creating model from config: C:\Users\Tristan\Documents\GitHub\stable-diffusion-webui\configs\v1-inference.yaml
LatentDiffusion: Running in eps-prediction mode
DiffusionWrapper has 859.52 M params.
Startup time: 9.6s (launcher: 2.2s, import torch: 2.8s, import gradio: 0.7s, setup paths: 0.7s, other imports: 0.7s, list SD models: 0.2s, load scripts: 1.3s, create ui: 0.6s, gradio launch: 0.4s).
Applying attention optimization: Doggettx... done.
Model loaded in 2.9s (load weights from disk: 0.8s, create model: 0.4s, apply weights to model: 1.2s, calculate empty prompt: 0.4s).
2023-07-27 12:45:08,482 - AnimateDiff - INFO - AnimateDiff process start with video Max frames 16, FPS 8, duration 2.0,  motion module mm_sd_v15.ckpt.
2023-07-27 12:45:08,482 - AnimateDiff - INFO - Loading motion module mm_sd_v15.ckpt from C:\Users\Tristan\Documents\GitHub\stable-diffusion-webui\extensions\sd-webui-animatediff\model\mm_sd_v15.ckpt
2023-07-27 12:45:11,593 - AnimateDiff - WARNING - Missing keys <All keys matched successfully>
2023-07-27 12:45:11,899 - AnimateDiff - INFO - Hacking GroupNorm32 forward function.
2023-07-27 12:45:11,899 - AnimateDiff - INFO - Injecting motion module mm_sd_v15.ckpt into SD1.5 UNet input blocks.
2023-07-27 12:45:11,900 - AnimateDiff - INFO - Injecting motion module mm_sd_v15.ckpt into SD1.5 UNet output blocks.
2023-07-27 12:45:11,900 - AnimateDiff - INFO - Injection finished.
100%|██████████████████████████████████████████████████████████████████████████████████| 20/20 [00:38<00:00,  1.95s/it]
2023-07-27 12:45:56,907 - AnimateDiff - INFO - Removing motion module from SD1.5 UNet input blocks.35<00:00,  1.86s/it]
2023-07-27 12:45:56,907 - AnimateDiff - INFO - Removing motion module from SD1.5 UNet output blocks.
2023-07-27 12:45:56,907 - AnimateDiff - INFO - Restoring GroupNorm32 forward function.
2023-07-27 12:45:56,908 - AnimateDiff - INFO - Removal finished.
2023-07-27 12:45:56,908 - AnimateDiff - INFO - Merging images into GIF.
2023-07-27 12:45:57,986 - AnimateDiff - INFO - AnimateDiff process end.
Total progress: 100%|██████████████████████████████████████████████████████████████████| 20/20 [00:42<00:00,  2.13s/it]
2023-07-27 12:46:12,265 - AnimateDiff - INFO - AnimateDiff process start with video Max frames 16, FPS 8, duration 2.0,  motion module mm_sd_v15.ckpt.
2023-07-27 12:46:12,926 - AnimateDiff - INFO - Hacking GroupNorm32 forward function.
2023-07-27 12:46:12,926 - AnimateDiff - INFO - Injecting motion module mm_sd_v15.ckpt into SD1.5 UNet input blocks.
2023-07-27 12:46:12,927 - AnimateDiff - INFO - Injecting motion module mm_sd_v15.ckpt into SD1.5 UNet output blocks.
2023-07-27 12:46:12,928 - AnimateDiff - INFO - Injection finished.
100%|██████████████████████████████████████████████████████████████████████████████████| 20/20 [00:38<00:00,  1.92s/it]
2023-07-27 12:46:57,213 - AnimateDiff - INFO - Removing motion module from SD1.5 UNet input blocks.35<00:00,  1.86s/it]
2023-07-27 12:46:57,213 - AnimateDiff - INFO - Removing motion module from SD1.5 UNet output blocks.
2023-07-27 12:46:57,214 - AnimateDiff - INFO - Restoring GroupNorm32 forward function.
2023-07-27 12:46:57,214 - AnimateDiff - INFO - Removal finished.
2023-07-27 12:46:57,215 - AnimateDiff - INFO - Merging images into GIF.
2023-07-27 12:46:58,530 - AnimateDiff - INFO - AnimateDiff process end.
Total progress: 100%|██████████████████████████████████████████████████████████████████| 20/20 [00:42<00:00,  2.12s/it]
Total progress: 100%|██████████████████████████████████████████████████████████████████| 20/20 [00:42<00:00,  1.86s/it]

No

N/A

否

后台显示运行正常。
Calculating sha256 for E:\sd-webui-aki-v4.2\extensions\sd-webui-animatediff\model\mm_sd_v14.ckpt: aa7fd8a200a89031edd84487e2a757c5315460eca528fa70d4b3885c399bffd5
2023-08-04 08:15:44,640 - AnimateDiff - INFO - Loading motion module mm_sd_v14.ckpt from E:\sd-webui-aki-v4.2\extensions\sd-webui-animatediff\model\mm_sd_v14.ckpt
2023-08-04 08:15:50,247 - AnimateDiff - WARNING - Missing keys <All keys matched successfully>
2023-08-04 08:15:50,845 - AnimateDiff - INFO - Hacking GroupNorm32 forward function.
2023-08-04 08:15:50,845 - AnimateDiff - INFO - Injecting motion module mm_sd_v14.ckpt into SD1.5 UNet input blocks.
2023-08-04 08:15:50,845 - AnimateDiff - INFO - Injecting motion module mm_sd_v14.ckpt into SD1.5 UNet output blocks.
2023-08-04 08:15:50,846 - AnimateDiff - INFO - Injection finished.
2023-08-04 08:18:48,800 - AnimateDiff - INFO - Removing motion module from SD1.5 UNet input blocks.
2023-08-04 08:18:48,801 - AnimateDiff - INFO - Removing motion module from SD1.5 UNet output blocks.
2023-08-04 08:18:48,801 - AnimateDiff - INFO - Restoring GroupNorm32 forward function.
2023-08-04 08:18:48,801 - AnimateDiff - INFO - Removal finished.
2023-08-04 08:18:48,801 - AnimateDiff - INFO - Merging images into GIF.
2023-08-04 08:18:52,894 - AnimateDiff - INFO - AnimateDiff process end.

Chrome

2023-07-18 18:09:29,711 - AnimateDiff - INFO - AnimateDiff process start with video length 16, FPS 8, motion module mm_sd_v14.ckpt.
2023-07-18 18:09:29,715 - AnimateDiff - INFO - Injecting motion module mm_sd_v14.ckpt into SD1.5 UNet input blocks.
2023-07-18 18:09:29,715 - AnimateDiff - INFO - Injecting motion module mm_sd_v14.ckpt into SD1.5 UNet output blocks.
2023-07-18 18:09:29,716 - AnimateDiff - INFO - Injection finished.
  0%|                                                                                           | 0/30 [00:00<?, ?it/s]
*** Error completing request
*** Arguments: ('task(fzm2q2jw2arb9ge)', 'A character portrait of a ((male) (anthro) ([Wolf]))', '', ['Text Inver'], 30, 15, False, False, 1, 1, 7, -1.0, -1.0, 0, 0, 0, False, 512, 512, False, 0.2, 1.5, 'lollypop', 30, 0, 0, 0, '', '', [], 0, False, {'ad_model': 'face_yolov8n.pt', 'ad_prompt': '', 'ad_negative_prompt': '', 'ad_confidence': 0.3, 'ad_mask_min_ratio': 0, 'ad_mask_max_ratio': 1, 'ad_x_offset': 0, 'ad_y_offset': 0, 'ad_dilate_erode': 32, 'ad_mask_merge_invert': 'None', 'ad_mask_blur': 4, 'ad_denoising_strength': 0.4, 'ad_inpaint_only_masked': True, 'ad_inpaint_only_masked_padding': 32, 'ad_use_inpaint_width_height': False, 'ad_inpaint_width': 512, 'ad_inpaint_height': 512, 'ad_use_steps': False, 'ad_steps': 28, 'ad_use_cfg_scale': False, 'ad_cfg_scale': 7, 'ad_use_noise_multiplier': False, 'ad_noise_multiplier': 1, 'ad_restore_face': False, 'ad_controlnet_model': 'None', 'ad_controlnet_module': 'inpaint_global_harmonious', 'ad_controlnet_weight': 1, 'ad_controlnet_guidance_start': 0, 'ad_controlnet_guidance_end': 1, 'is_api': ()}, {'ad_model': 'None', 'ad_prompt': '', 'ad_negative_prompt': '', 'ad_confidence': 0.3, 'ad_mask_min_ratio': 0, 'ad_mask_max_ratio': 1, 'ad_x_offset': 0, 'ad_y_offset': 0, 'ad_dilate_erode': 32, 'ad_mask_merge_invert': 'None', 'ad_mask_blur': 4, 'ad_denoising_strength': 0.4, 'ad_inpaint_only_masked': True, 'ad_inpaint_only_masked_padding': 32, 'ad_use_inpaint_width_height': False, 'ad_inpaint_width': 512, 'ad_inpaint_height': 512, 'ad_use_steps': False, 'ad_steps': 28, 'ad_use_cfg_scale': False, 'ad_cfg_scale': 7, 'ad_use_noise_multiplier': False, 'ad_noise_multiplier': 1, 'ad_restore_face': False, 'ad_controlnet_model': 'None', 'ad_controlnet_module': 'inpaint_global_harmonious', 'ad_controlnet_weight': 1, 'ad_controlnet_guidance_start': 0, 'ad_controlnet_guidance_end': 1, 'is_api': ()}, False, 'MultiDiffusion', False, True, 1024, 1024, 96, 96, 48, 1, 'None', 2, False, 10, 1, 1, 64, False, False, False, False, False, 0.4, 0.4, 0.2, 0.2, '', '', 'Background', 0.2, -1.0, False, 0.4, 0.4, 0.2, 0.2, '', '', 'Background', 0.2, -1.0, False, 0.4, 0.4, 0.2, 0.2, '', '', 'Background', 0.2, -1.0, False, 0.4, 0.4, 0.2, 0.2, '', '', 'Background', 0.2, -1.0, False, 0.4, 0.4, 0.2, 0.2, '', '', 'Background', 0.2, -1.0, False, 0.4, 0.4, 0.2, 0.2, '', '', 'Background', 0.2, -1.0, False, 0.4, 0.4, 0.2, 0.2, '', '', 'Background', 0.2, -1.0, False, 0.4, 0.4, 0.2, 0.2, '', '', 'Background', 0.2, -1.0, False, 3072, 192, True, True, True, False, True, False, 1, False, False, False, 1.1, 1.5, 100, 0.7, False, False, True, False, False, 0, 'Gustavosta/MagicPrompt-Stable-Diffusion', '', False, 7, 100, 'Constant', 0, 'Constant', 0, 4, True, 16, 8, 'mm_sd_v14.ckpt', <scripts.controlnet_ui.controlnet_ui_group.UiControlNetUnit object at 0x0000027593343760>, <scripts.controlnet_ui.controlnet_ui_group.UiControlNetUnit object at 0x0000027593342620>, '', None, ['artist', 'character', 'species', 'general'], '', 'Reset form', 'Generate', False, 1, 0.15, False, 'OUT', ['OUT'], 5, 0, 'Bilinear', False, 'Pooling Max', False, 'Lerp', '', '', False, False, None, True, 1, False, 1, 0, '', '', 20, True, 20, True, 4, 0.4, 7, 512, 512, True, 88, False, 'None', False, '1:1,1:2,1:2', '0:0,0:0,0:1', '0.2,0.8,0.8', 150, 0.2, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, False, False, 'positive', 'comma', 0, False, False, '', 1, '', [], 0, '', [], 0, '', [], True, False, False, False, 0, 'Not set', True, True, '', '', '', '', '', 1.3, 'Not set', 'Not set', 1.3, 'Not set', 1.3, 'Not set', 1.3, 1.3, 'Not set', 1.3, 'Not set', 1.3, 'Not set', 1.3, 'Not set', 1.3, 'Not set', 1.3, 'Not set', False, 'None', '', '', '', False, False, False, False, False, 50, '0', False, '', False, False, False, '', False,   1 2 3
*** 0      , False, 512, 512, 0.2, False, '', False, '', '', '', '', None, None, False, None, None, False, 50, True, 0, '', '', 20, True, 20, True, 4, 0.4, 7, 512, 512, True, 88, False, 'None') {}
    Traceback (most recent call last):
      File "H:\Stable Diffusion\stable-diffusion-webui\modules\call_queue.py", line 55, in f
        res = list(func(*args, **kwargs))
      File "H:\Stable Diffusion\stable-diffusion-webui\modules\call_queue.py", line 35, in f
        res = func(*args, **kwargs)
      File "H:\Stable Diffusion\stable-diffusion-webui\modules\txt2img.py", line 57, in txt2img
        processed = processing.process_images(p)
      File "H:\Stable Diffusion\stable-diffusion-webui\modules\processing.py", line 620, in process_images
        res = process_images_inner(p)
      File "H:\Stable Diffusion\stable-diffusion-webui\extensions\sd-webui-controlnet\scripts\batch_hijack.py", line 42, in processing_process_images_hijack
        return getattr(processing, '__controlnet_original_process_images_inner')(p, *args, **kwargs)
      File "H:\Stable Diffusion\stable-diffusion-webui\modules\processing.py", line 739, in process_images_inner
        samples_ddim = p.sample(conditioning=p.c, unconditional_conditioning=p.uc, seeds=p.seeds, subseeds=p.subseeds, subseed_strength=p.subseed_strength, prompts=p.prompts)
      File "H:\Stable Diffusion\stable-diffusion-webui\modules\processing.py", line 992, in sample
        samples = self.sampler.sample(self, x, conditioning, unconditional_conditioning, image_conditioning=self.txt2img_image_conditioning(x))
      File "H:\Stable Diffusion\stable-diffusion-webui\modules\sd_samplers_kdiffusion.py", line 439, in sample
        samples = self.launch_sampling(steps, lambda: self.func(self.model_wrap_cfg, x, extra_args={
      File "H:\Stable Diffusion\stable-diffusion-webui\modules\sd_samplers_kdiffusion.py", line 278, in launch_sampling
        return func()
      File "H:\Stable Diffusion\stable-diffusion-webui\modules\sd_samplers_kdiffusion.py", line 439, in <lambda>
        samples = self.launch_sampling(steps, lambda: self.func(self.model_wrap_cfg, x, extra_args={
      File "H:\Stable Diffusion\stable-diffusion-webui\venv\lib\site-packages\torch\utils\_contextlib.py", line 115, in decorate_context
        return func(*args, **kwargs)
      File "H:\Stable Diffusion\stable-diffusion-webui\repositories\k-diffusion\k_diffusion\sampling.py", line 518, in sample_dpmpp_2s_ancestral
        denoised = model(x, sigmas[i] * s_in, **extra_args)
      File "H:\Stable Diffusion\stable-diffusion-webui\venv\lib\site-packages\torch\nn\modules\module.py", line 1501, in _call_impl
        return forward_call(*args, **kwargs)
      File "H:\Stable Diffusion\stable-diffusion-webui\modules\sd_samplers_kdiffusion.py", line 158, in forward
        x_out = self.inner_model(x_in, sigma_in, cond=make_condition_dict([cond_in], image_cond_in))
      File "H:\Stable Diffusion\stable-diffusion-webui\venv\lib\site-packages\torch\nn\modules\module.py", line 1501, in _call_impl
        return forward_call(*args, **kwargs)
      File "H:\Stable Diffusion\stable-diffusion-webui\repositories\k-diffusion\k_diffusion\external.py", line 112, in forward
        eps = self.get_eps(input * c_in, self.sigma_to_t(sigma), **kwargs)
      File "H:\Stable Diffusion\stable-diffusion-webui\repositories\k-diffusion\k_diffusion\external.py", line 138, in get_eps
        return self.inner_model.apply_model(*args, **kwargs)
      File "H:\Stable Diffusion\stable-diffusion-webui\modules\sd_hijack_utils.py", line 17, in <lambda>
        setattr(resolved_obj, func_path[-1], lambda *args, **kwargs: self(*args, **kwargs))
      File "H:\Stable Diffusion\stable-diffusion-webui\modules\sd_hijack_utils.py", line 28, in __call__
        return self.__orig_func(*args, **kwargs)
      File "H:\Stable Diffusion\stable-diffusion-webui\repositories\stable-diffusion-stability-ai\ldm\models\diffusion\ddpm.py", line 858, in apply_model
        x_recon = self.model(x_noisy, t, **cond)
      File "H:\Stable Diffusion\stable-diffusion-webui\venv\lib\site-packages\torch\nn\modules\module.py", line 1501, in _call_impl
        return forward_call(*args, **kwargs)
      File "H:\Stable Diffusion\stable-diffusion-webui\repositories\stable-diffusion-stability-ai\ldm\models\diffusion\ddpm.py", line 1335, in forward
        out = self.diffusion_model(x, t, context=cc)
      File "H:\Stable Diffusion\stable-diffusion-webui\venv\lib\site-packages\torch\nn\modules\module.py", line 1501, in _call_impl
        return forward_call(*args, **kwargs)
      File "H:\Stable Diffusion\stable-diffusion-webui\modules\sd_unet.py", line 91, in UNetModel_forward
        return ldm.modules.diffusionmodules.openaimodel.copy_of_UNetModel_forward_for_webui(self, x, timesteps, context, *args, **kwargs)
      File "H:\Stable Diffusion\stable-diffusion-webui\repositories\stable-diffusion-stability-ai\ldm\modules\diffusionmodules\openaimodel.py", line 797, in forward
        h = module(h, emb, context)
      File "H:\Stable Diffusion\stable-diffusion-webui\venv\lib\site-packages\torch\nn\modules\module.py", line 1501, in _call_impl
        return forward_call(*args, **kwargs)
      File "H:\Stable Diffusion\stable-diffusion-webui\extensions\sd-webui-animatediff\scripts\animatediff.py", line 21, in mm_tes_forward
        x = layer(x, context)
      File "H:\Stable Diffusion\stable-diffusion-webui\venv\lib\site-packages\torch\nn\modules\module.py", line 1501, in _call_impl
        return forward_call(*args, **kwargs)
      File "H:\Stable Diffusion\stable-diffusion-webui\extensions\sd-webui-animatediff\motion_module.py", line 79, in forward
        hidden_states = self.temporal_transformer(hidden_states, encoder_hidden_states, attention_mask)
      File "H:\Stable Diffusion\stable-diffusion-webui\venv\lib\site-packages\torch\nn\modules\module.py", line 1501, in _call_impl
        return forward_call(*args, **kwargs)
      File "H:\Stable Diffusion\stable-diffusion-webui\extensions\sd-webui-animatediff\motion_module.py", line 151, in forward
        hidden_states = block(hidden_states, encoder_hidden_states=encoder_hidden_states, video_length=video_length)
      File "H:\Stable Diffusion\stable-diffusion-webui\venv\lib\site-packages\torch\nn\modules\module.py", line 1501, in _call_impl
        return forward_call(*args, **kwargs)
      File "H:\Stable Diffusion\stable-diffusion-webui\extensions\sd-webui-animatediff\motion_module.py", line 215, in forward
        hidden_states = attention_block(
      File "H:\Stable Diffusion\stable-diffusion-webui\venv\lib\site-packages\torch\nn\modules\module.py", line 1501, in _call_impl
        return forward_call(*args, **kwargs)
      File "H:\Stable Diffusion\stable-diffusion-webui\extensions\sd-webui-animatediff\motion_module.py", line 539, in forward
        hidden_states = self._memory_efficient_attention_xformers(query, key, value, attention_mask)
      File "H:\Stable Diffusion\stable-diffusion-webui\extensions\sd-webui-animatediff\motion_module.py", line 468, in _memory_efficient_attention_xformers
        hidden_states = xformers.ops.memory_efficient_attention(query, key, value, attn_bias=attention_mask,
      File "H:\Stable Diffusion\stable-diffusion-webui\venv\lib\site-packages\xformers\ops\fmha\__init__.py", line 192, in memory_efficient_attention
        return _memory_efficient_attention(
      File "H:\Stable Diffusion\stable-diffusion-webui\venv\lib\site-packages\xformers\ops\fmha\__init__.py", line 290, in _memory_efficient_attention
        return _memory_efficient_attention_forward(
      File "H:\Stable Diffusion\stable-diffusion-webui\venv\lib\site-packages\xformers\ops\fmha\__init__.py", line 310, in _memory_efficient_attention_forward
        out, *_ = op.apply(inp, needs_gradient=False)
      File "H:\Stable Diffusion\stable-diffusion-webui\venv\lib\site-packages\xformers\ops\fmha\cutlass.py", line 175, in apply
        out, lse, rng_seed, rng_offset = cls.OPERATOR(
      File "H:\Stable Diffusion\stable-diffusion-webui\venv\lib\site-packages\torch\_ops.py", line 502, in __call__
        return self._op(*args, **kwargs or {})
    RuntimeError: CUDA error: invalid configuration argument
    CUDA kernel errors might be asynchronously reported at some other API call, so the stacktrace below might be incorrect.
    For debugging consider passing CUDA_LAUNCH_BLOCKING=1.
    Compile with `TORCH_USE_CUDA_DSA` to enable device-side assertions.


---

no

2023-07-27 05:38:29,172 - AnimateDiff - INFO - AnimateDiff process start with video Max frames 16, FPS 8, duration 2.0,  motion module mm_sd_v15.ckpt.
*** Error running before_process: C:\github\diffusers\stable-diffusion-webui\extensions\sd-webui-animatediff\scripts\animatediff.py
    Traceback (most recent call last):
      File "C:\github\diffusers\stable-diffusion-webui\modules\scripts.py", line 487, in before_process
        script.before_process(p, *script_args)
      File "C:\github\diffusers\stable-diffusion-webui\extensions\sd-webui-animatediff\scripts\animatediff.py", line 138, in before_process
        self.inject_motion_modules(p, model)
      File "C:\github\diffusers\stable-diffusion-webui\extensions\sd-webui-animatediff\scripts\animatediff.py", line 87, in inject_motion_modules
        raise RuntimeError(f"{model_name} hash mismatch. You probably need to re-download the motion module.")
    RuntimeError: mm_sd_v15.ckpt hash mismatch. You probably need to re-download the motion module.

any, really.

there is no errors.

@echo off

set PYTHON=
set GIT=
set VENV_DIR=
set COMMANDLINE_ARGS= --listen --api --no-half-vae --disable-nan-check --enable-insecure-extension-access 
call webui.bat

[AddNet] Updating model hashes...
0it [00:00, ?it/s]
preload_extensions_git_metadata for 18 extensions took 1.22s
Running on local URL:  http://0.0.0.0:7860

To create a public link, set `share=True` in `launch()`.
Startup time: 23.9s (import torch: 1.7s, import gradio: 1.6s, import ldm: 0.5s, other imports: 0.9s, load scripts: 1.7s, create ui: 12.8s, gradio launch: 4.6s).
2023-07-24 16:01:10,724 - AnimateDiff - INFO - AnimateDiff process start with video Max frames 16, FPS 8, duration 2.0,  motion module mm_sd_v15.ckpt.
2023-07-24 16:01:10,724 - AnimateDiff - INFO - Loading motion module mm_sd_v15.ckpt from C:\Gits\stable-diffusion-webui\extensions\sd-webui-animatediff\model\mm_sd_v15.ckpt
*** Error verifying pickled file from C:\Gits\stable-diffusion-webui\extensions\sd-webui-animatediff\model\mm_sd_v15.ckpt
*** -----> !!!! The file is most likely corrupted !!!! <-----
*** You can skip this check with --disable-safe-unpickle commandline argument, but that is not going to help you.
***
    Traceback (most recent call last):
      File "C:\Gits\stable-diffusion-webui\modules\safe.py", line 83, in check_pt
        with zipfile.ZipFile(filename) as z:
      File "C:\Gits\anaconda3\lib\zipfile.py", line 1269, in __init__
        self._RealGetContents()
      File "C:\Gits\anaconda3\lib\zipfile.py", line 1336, in _RealGetContents
        raise BadZipFile("File is not a zip file")
    zipfile.BadZipFile: File is not a zip file

    During handling of the above exception, another exception occurred:

    Traceback (most recent call last):
      File "C:\Gits\stable-diffusion-webui\modules\safe.py", line 137, in load_with_extra
        check_pt(filename, extra_handler)
      File "C:\Gits\stable-diffusion-webui\modules\safe.py", line 104, in check_pt
        unpickler.load()
    _pickle.UnpicklingError: invalid load key, '<'.

---
*** Error running before_process: C:\Gits\stable-diffusion-webui\extensions\sd-webui-animatediff\scripts\animatediff.py
    Traceback (most recent call last):
      File "C:\Gits\stable-diffusion-webui\modules\scripts.py", line 466, in before_process
        script.before_process(p, *script_args)
      File "C:\Gits\stable-diffusion-webui\extensions\sd-webui-animatediff\scripts\animatediff.py", line 116, in before_process
        self.inject_motion_modules(p, model)
      File "C:\Gits\stable-diffusion-webui\extensions\sd-webui-animatediff\scripts\animatediff.py", line 78, in inject_motion_modules
        missed_keys = AnimateDiffScript.motion_module.load_state_dict(mm_state_dict)
      File "C:\Gits\stable-diffusion-webui\venv\lib\site-packages\torch\nn\modules\module.py", line 1994, in load_state_dict
        raise TypeError("Expected state_dict to be dict-like, got {}.".format(type(state_dict)))
    TypeError: Expected state_dict to be dict-like, got <class 'NoneType'>.

---
100%|█████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 20/20 [00:17<00:00,  1.12it/s]
2023-07-24 16:01:37,268 - AnimateDiff - INFO - Removing motion module from SD1.5 UNet input blocks.███████████████████████████████████████████████████████████████████████████████| 20/20 [00:16<00:00,  1.18it/s]
2023-07-24 16:01:37,268 - AnimateDiff - INFO - Removing motion module from SD1.5 UNet output blocks.
2023-07-24 16:01:37,268 - AnimateDiff - INFO - Removal finished.
2023-07-24 16:01:37,269 - AnimateDiff - INFO - Merging images into GIF.
2023-07-24 16:01:38,818 - AnimateDiff - INFO - AnimateDiff process end.
Total progress: 100%|█████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 20/20 [00:24<00:00,  1.21s/it]
Total progress: 100%|█████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 20/20 [00:24<00:00,  1.18it/s]

No

0%|          | 0/20 [00:00<?, ?it/s]
Error completing request
Arguments: ('task(3bjc7304jac9b0j)', 'masterpiece, best quality,ultra detailed,', 'nsfw, lowres, bad anatomy, bad hands, text, error, missing fingers, extra digit, fewer digits, cropped, worst quality, low quality, normal quality, jpeg artifacts, signature, watermark, username, blurry', [], 20, 0, False, False, 1, 1, 7, -1.0, -1.0, 0, 0, 0, False, 512, 512, False, 0.7, 2, 'Latent', 0, 0, 0, 0, 'masterpiece, best quality,ultra detailed,', 'nsfw, lowres, bad anatomy, bad hands, text, error, missing fingers, extra digit, fewer digits, cropped, worst quality, low quality, normal quality, jpeg artifacts, signature, watermark, username, blurry', [], 0, True, 0, 8, 8, 'mm_sd_v15.ckpt', <scripts.controlnet_ui.controlnet_ui_group.UiControlNetUnit object at 0x7fb5db6472e0>, <scripts.controlnet_ui.controlnet_ui_group.UiControlNetUnit object at 0x7faffa511ae0>, <scripts.controlnet_ui.controlnet_ui_group.UiControlNetUnit object at 0x7fb5de75f220>, <scripts.controlnet_ui.controlnet_ui_group.UiControlNetUnit object at 0x7faffb1834c0>, False, False, 0, None, [], 0, False, [], [], False, 0, 1, False, False, 0, None, [], -2, False, [], False, False, 'positive', 'comma', 0, False, False, '', 1, '', [], 0, '', [], 0, '', [], True, False, False, False, 0, None, None, False, None, None, False, None, None, False, None, None, False, 50) {}
Traceback (most recent call last):
  File "/data/stable-diffusion-webui/modules/call_queue.py", line 57, in f
    res = list(func(*args, **kwargs))
  File "/data/stable-diffusion-webui/modules/call_queue.py", line 37, in f
    res = func(*args, **kwargs)
  File "/data/stable-diffusion-webui/modules/txt2img.py", line 57, in txt2img
    processed = processing.process_images(p)
  File "/data/stable-diffusion-webui/modules/processing.py", line 611, in process_images
    res = process_images_inner(p)
  File "/data/stable-diffusion-webui/extensions/sd-webui-controlnet/scripts/batch_hijack.py", line 42, in processing_process_images_hijack
    return getattr(processing, '__controlnet_original_process_images_inner')(p, *args, **kwargs)
  File "/data/stable-diffusion-webui/modules/processing.py", line 729, in process_images_inner
    samples_ddim = p.sample(conditioning=p.c, unconditional_conditioning=p.uc, seeds=p.seeds, subseeds=p.subseeds, subseed_strength=p.subseed_strength, prompts=p.prompts)
  File "/data/stable-diffusion-webui/modules/processing.py", line 977, in sample
    samples = self.sampler.sample(self, x, conditioning, unconditional_conditioning, image_conditioning=self.txt2img_image_conditioning(x))
  File "/data/stable-diffusion-webui/modules/sd_samplers_kdiffusion.py", line 383, in sample
    samples = self.launch_sampling(steps, lambda: self.func(self.model_wrap_cfg, x, extra_args={
  File "/data/stable-diffusion-webui/modules/sd_samplers_kdiffusion.py", line 257, in launch_sampling
    return func()
  File "/data/stable-diffusion-webui/modules/sd_samplers_kdiffusion.py", line 383, in <lambda>
    samples = self.launch_sampling(steps, lambda: self.func(self.model_wrap_cfg, x, extra_args={
  File "/data/miniconda3/envs/env-novelai/lib/python3.10/site-packages/torch/autograd/grad_mode.py", line 27, in decorate_context
    return func(*args, **kwargs)
  File "/data/stable-diffusion-webui/repositories/k-diffusion/k_diffusion/sampling.py", line 145, in sample_euler_ancestral
    denoised = model(x, sigmas[i] * s_in, **extra_args)
  File "/data/miniconda3/envs/env-novelai/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1194, in _call_impl
    return forward_call(*input, **kwargs)
  File "/data/stable-diffusion-webui/modules/sd_samplers_kdiffusion.py", line 137, in forward
    x_out = self.inner_model(x_in, sigma_in, cond=make_condition_dict([cond_in], image_cond_in))
  File "/data/miniconda3/envs/env-novelai/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1194, in _call_impl
    return forward_call(*input, **kwargs)
  File "/data/stable-diffusion-webui/repositories/k-diffusion/k_diffusion/external.py", line 112, in forward
    eps = self.get_eps(input * c_in, self.sigma_to_t(sigma), **kwargs)
  File "/data/stable-diffusion-webui/repositories/k-diffusion/k_diffusion/external.py", line 138, in get_eps
    return self.inner_model.apply_model(*args, **kwargs)
  File "/data/stable-diffusion-webui/modules/sd_hijack_utils.py", line 17, in <lambda>
    setattr(resolved_obj, func_path[-1], lambda *args, **kwargs: self(*args, **kwargs))
  File "/data/stable-diffusion-webui/modules/sd_hijack_utils.py", line 28, in __call__
    return self.__orig_func(*args, **kwargs)
  File "/data/stable-diffusion-webui/repositories/stable-diffusion-stability-ai/ldm/models/diffusion/ddpm.py", line 929, in apply_model
    x_recon = self.model(x_noisy, t, **cond)
  File "/data/miniconda3/envs/env-novelai/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1194, in _call_impl
    return forward_call(*input, **kwargs)
  File "/data/stable-diffusion-webui/repositories/stable-diffusion-stability-ai/ldm/models/diffusion/ddpm.py", line 1407, in forward
    out = self.diffusion_model(x, t, context=cc)
  File "/data/miniconda3/envs/env-novelai/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1194, in _call_impl
    return forward_call(*input, **kwargs)
  File "/data/stable-diffusion-webui/repositories/stable-diffusion-stability-ai/ldm/modules/diffusionmodules/openaimodel.py", line 802, in forward
    h = module(h, emb, context)
  File "/data/miniconda3/envs/env-novelai/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1194, in _call_impl
    return forward_call(*input, **kwargs)
  File "/data/stable-diffusion-webui/extensions/sd-webui-animatediff/scripts/animatediff.py", line 19, in mm_tes_forward
    x = layer(x, emb)
  File "/data/miniconda3/envs/env-novelai/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1194, in _call_impl
    return forward_call(*input, **kwargs)
  File "/data/stable-diffusion-webui/repositories/stable-diffusion-stability-ai/ldm/modules/diffusionmodules/openaimodel.py", line 249, in forward
    return checkpoint(
  File "/data/stable-diffusion-webui/repositories/stable-diffusion-stability-ai/ldm/modules/diffusionmodules/util.py", line 121, in checkpoint
    return CheckpointFunction.apply(func, len(inputs), *args)
  File "/data/stable-diffusion-webui/repositories/stable-diffusion-stability-ai/ldm/modules/diffusionmodules/util.py", line 136, in forward
    output_tensors = ctx.run_function(*ctx.input_tensors)
  File "/data/stable-diffusion-webui/repositories/stable-diffusion-stability-ai/ldm/modules/diffusionmodules/openaimodel.py", line 262, in _forward
    h = self.in_layers(x)
  File "/data/miniconda3/envs/env-novelai/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1194, in _call_impl
    return forward_call(*input, **kwargs)
  File "/data/miniconda3/envs/env-novelai/lib/python3.10/site-packages/torch/nn/modules/container.py", line 204, in forward
    input = module(input)
  File "/data/miniconda3/envs/env-novelai/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1194, in _call_impl
    return forward_call(*input, **kwargs)
  File "/data/stable-diffusion-webui/modules/sd_hijack_utils.py", line 17, in <lambda>
    setattr(resolved_obj, func_path[-1], lambda *args, **kwargs: self(*args, **kwargs))
  File "/data/stable-diffusion-webui/modules/sd_hijack_utils.py", line 28, in __call__
    return self.__orig_func(*args, **kwargs)
  File "/data/stable-diffusion-webui/repositories/stable-diffusion-stability-ai/ldm/modules/diffusionmodules/util.py", line 226, in forward
    return super().forward(x.float()).type(x.dtype)
  File "/data/miniconda3/envs/env-novelai/lib/python3.10/site-packages/torch/nn/modules/normalization.py", line 273, in forward
    return F.group_norm(
  File "/data/miniconda3/envs/env-novelai/lib/python3.10/site-packages/torch/nn/functional.py", line 2528, in group_norm
    return torch.group_norm(input, num_groups, weight, bias, eps, torch.backends.cudnn.enabled)
RuntimeError: Expected weight to be a vector of size equal to the number of channels in input, but got weight of shape [2560] and input of shape [2, 5120, 8, 8]

set COMMANDLINE_ARGS=--listen --api --enable-insecure-extension-access

2023-07-18 19:38:03,650 - AnimateDiff - INFO - Removing motion module from SD1.5 UNet input blocks.
Error running postprocess: C:\Users\TooDee\stable-diffusion-webui\extensions\sd-webui-animatediff\scripts\animatediff.py
Traceback (most recent call last):
  File "C:\Users\TooDee\stable-diffusion-webui\modules\scripts.py", line 404, in postprocess
    script.postprocess(p, processed, *script_args)
  File "C:\Users\TooDee\stable-diffusion-webui\extensions\sd-webui-animatediff\scripts\animatediff.py", line 142, in postprocess
    self.remove_motion_modules(p)
  File "C:\Users\TooDee\stable-diffusion-webui\extensions\sd-webui-animatediff\scripts\animatediff.py", line 122, in remove_motion_modules
    unet.input_blocks[unet_idx].pop(-1)
  File "C:\Users\TooDee\stable-diffusion-webui\venv\lib\site-packages\torch\nn\modules\module.py", line 1207, in __getattr__
    raise AttributeError("'{}' object has no attribute '{}'".format(
AttributeError: 'TimestepEmbedSequential' object has no attribute 'pop'

No

No error message

--no-half-vae --api

well, the classic OOM error:

 torch.cuda.OutOfMemoryError: CUDA out of memory. Tried to allocate 4.50 GiB (GPU 0; 24.00 GiB total capacity; 12.83 GiB already allocated; 3.16 GiB free; 17.42 GiB reserved in total by PyTorch) If reserved memory is >> allocated memory try setting max_split_size_mb to avoid fragmentation.  See documentation for Memory Management and PYTORCH_CUDA_ALLOC_CONF

No (default).

2023-08-03 13:08:45,523 - AnimateDiff - INFO - AnimateDiff process start with video Max frames 16, FPS 8, duration 2.0,  motion module mm_sd_v14.ckpt.
2023-08-03 13:08:45,523 - AnimateDiff - INFO - Loading motion module mm_sd_v14.ckpt from /Users/js/stable-diffusion-webui/extensions/sd-webui-animatediff/model/mm_sd_v14.ckpt
2023-08-03 13:08:50,893 - AnimateDiff - WARNING - Missing keys <All keys matched successfully>
2023-08-03 13:08:51,316 - AnimateDiff - INFO - Hacking GroupNorm32 forward function.
2023-08-03 13:08:51,316 - AnimateDiff - INFO - Injecting motion module mm_sd_v14.ckpt into SD1.5 UNet input blocks.
2023-08-03 13:08:51,316 - AnimateDiff - INFO - Injecting motion module mm_sd_v14.ckpt into SD1.5 UNet output blocks.
2023-08-03 13:08:51,316 - AnimateDiff - INFO - Injection finished.
  0%|                                                                                                                                            | 0/25 [00:00<?, ?it/s]loc("mps_add"("(mpsFileLoc): /AppleInternal/Library/BuildRoots/97f6331a-ba75-11ed-a4bc-863efbbaf80d/Library/Caches/com.apple.xbs/Sources/MetalPerformanceShadersGraph/mpsgraph/MetalPerformanceShadersGraph/Core/Files/MPSGraphUtilities.mm":228:0)): error: input types 'tensor<32x1024x320xf16>' and 'tensor<320xf32>' are not broadcast compatible
LLVM ERROR: Failed to infer result type(s).
./webui.sh: line 254: 46832 Abort trap: 6           "${python_cmd}" "${LAUNCH_SCRIPT}" "$@"

---
2023-07-20 09:22:05,466 - ControlNet - INFO - ControlNet v1.1.224
ControlNet preprocessor location: P:\automatic1111webui\webui\extensions\sd-webui-controlnet\annotator\downloads
2023-07-20 09:22:05,561 - ControlNet - INFO - ControlNet v1.1.224
Image Browser: ImageReward is not installed, cannot be used.
Loading weights [c0d1994c73] from P:\automatic1111webui\webui\models\Stable-diffusion\realisticVisionV20_v20.safetensors
*Deforum ControlNet support: enabled*
Creating model from config: P:\automatic1111webui\webui\configs\v1-inference.yaml
LatentDiffusion: Running in eps-prediction mode
DiffusionWrapper has 859.52 M params.
Running on local URL:  http://127.0.0.1:7860

To create a public link, set `share=True` in `launch()`.
COMMANDLINE_ARGS does not contain --api, API won't be mounted.
Startup time: 10.7s (import torch: 1.7s, import gradio: 1.3s, import ldm: 0.4s, other imports: 1.0s, load scripts: 2.9s, create ui: 2.1s, gradio launch: 1.2s).
*** Failed reading extension data from Git repository (clip-interrogator-ext)
    Traceback (most recent call last):
      File "P:\automatic1111webui\webui\modules\extensions.py", line 62, in do_read_info_from_repo
        self.remote = next(repo.remote().urls, None)
      File "P:\automatic1111webui\system\python\lib\site-packages\git\repo\base.py", line 414, in remote
        raise ValueError("Remote named '%s' didn't exist" % name)
    ValueError: Remote named 'origin' didn't exist

---
*** Failed reading extension data from Git repository (sd-webui-controlnet)
    Traceback (most recent call last):
      File "P:\automatic1111webui\webui\modules\extensions.py", line 62, in do_read_info_from_repo
        self.remote = next(repo.remote().urls, None)
      File "P:\automatic1111webui\system\python\lib\site-packages\git\repo\base.py", line 414, in remote
        raise ValueError("Remote named '%s' didn't exist" % name)
    ValueError: Remote named 'origin' didn't exist

---
*** Failed reading extension data from Git repository (seed_travel)
    Traceback (most recent call last):
      File "P:\automatic1111webui\webui\modules\extensions.py", line 62, in do_read_info_from_repo
        self.remote = next(repo.remote().urls, None)
      File "P:\automatic1111webui\system\python\lib\site-packages\git\repo\base.py", line 414, in remote
        raise ValueError("Remote named '%s' didn't exist" % name)
    ValueError: Remote named 'origin' didn't exist

---
*** Failed reading extension data from Git repository (stable-diffusion-webui-images-browser)
    Traceback (most recent call last):
      File "P:\automatic1111webui\webui\modules\extensions.py", line 62, in do_read_info_from_repo
        self.remote = next(repo.remote().urls, None)
      File "P:\automatic1111webui\system\python\lib\site-packages\git\repo\base.py", line 414, in remote
        raise ValueError("Remote named '%s' didn't exist" % name)
    ValueError: Remote named 'origin' didn't exist

---
*** Failed reading extension data from Git repository (stable-diffusion-webui-rembg)
    Traceback (most recent call last):
      File "P:\automatic1111webui\webui\modules\extensions.py", line 62, in do_read_info_from_repo
        self.remote = next(repo.remote().urls, None)
      File "P:\automatic1111webui\system\python\lib\site-packages\git\repo\base.py", line 414, in remote
        raise ValueError("Remote named '%s' didn't exist" % name)
    ValueError: Remote named 'origin' didn't exist

---
preload_extensions_git_metadata for 25 extensions took 2.20s
Applying attention optimization: Doggettx... done.
Textual inversion embeddings loaded(0):
Model loaded in 5.7s (load weights from disk: 1.5s, create model: 0.7s, apply weights to model: 1.6s, apply half(): 0.7s, move model to device: 1.2s).
100%|████████████████████████████████████████████████████████████████████████████████| 20/20 [00:02<00:00,  7.78it/s]
Total progress: 100%|████████████████████████████████████████████████████████████████| 20/20 [00:01<00:00, 11.38it/s]
100%|████████████████████████████████████████████████████████████████████████████████| 20/20 [00:01<00:00, 10.57it/s]
Total progress: 100%|████████████████████████████████████████████████████████████████| 20/20 [00:01<00:00, 11.49it/s]
Total progress: 100%|████████████████████████████████████████████████████████████████| 20/20 [00:01<00:00, 12.19it/s]

Failed to load resource: the server responded with a status of 404 (Not Found)
:7860/favicon.ico:1     Failed to load resource: the server responded with a status of 403 (Forbidden)
127.0.0.1/:1 Uncaught (in promise) Error: A listener indicated an asynchronous response by returning true, but the message channel closed before a response was received
3canvas-zoom.js?1689829204.6660552:1186 work

None

2023-07-23 20:08:16,895 - AnimateDiff - INFO - AnimateDiff process start with video Max frames 16, FPS 25, duration 0.64,  motion module mm_sd_v15.ckpt.
2023-07-23 20:08:16,895 - AnimateDiff - INFO - Loading motion module mm_sd_v15.ckpt from C:\AI\stable-diffusion-webui\extensions\sd-webui-animatediff\model\mm_sd_v15.ckpt
2023-07-23 20:08:20,731 - AnimateDiff - WARNING - Missing keys <All keys matched successfully>
2023-07-23 20:08:21,179 - AnimateDiff - INFO - Injecting motion module mm_sd_v15.ckpt into SD1.5 UNet input blocks.
2023-07-23 20:08:21,179 - AnimateDiff - INFO - Injecting motion module mm_sd_v15.ckpt into SD1.5 UNet output blocks.
2023-07-23 20:08:21,180 - AnimateDiff - INFO - Injection finished.
 25%|█████████████████████                                                               | 1/4 [00:09<00:29,  9.97s/it]Exception in callback H11Protocol.timeout_keep_alive_handler()                                    | 0/4 [00:00<?, ?it/s]
handle: <TimerHandle when=21760.078 H11Protocol.timeout_keep_alive_handler()>
Traceback (most recent call last):
  File "C:\AI\stable-diffusion-webui\venv\lib\site-packages\h11\_state.py", line 249, in _fire_event_triggered_transitions
    new_state = EVENT_TRIGGERED_TRANSITIONS[role][state][event_type]
KeyError: <class 'h11._events.ConnectionClosed'>

During handling of the above exception, another exception occurred:

Traceback (most recent call last):
  File "C:\Users\d3xp2\AppData\Local\Programs\Python\Python310\lib\asyncio\events.py", line 80, in _run
    self._context.run(self._callback, *self._args)
  File "C:\AI\stable-diffusion-webui\venv\lib\site-packages\uvicorn\protocols\http\h11_impl.py", line 383, in timeout_keep_alive_handler
    self.conn.send(event)
  File "C:\AI\stable-diffusion-webui\venv\lib\site-packages\h11\_connection.py", line 468, in send
    data_list = self.send_with_data_passthrough(event)
  File "C:\AI\stable-diffusion-webui\venv\lib\site-packages\h11\_connection.py", line 493, in send_with_data_passthrough
    self._process_event(self.our_role, event)
  File "C:\AI\stable-diffusion-webui\venv\lib\site-packages\h11\_connection.py", line 242, in _process_event
    self._cstate.process_event(role, type(event), server_switch_event)
  File "C:\AI\stable-diffusion-webui\venv\lib\site-packages\h11\_state.py", line 238, in process_event
    self._fire_event_triggered_transitions(role, event_type)
  File "C:\AI\stable-diffusion-webui\venv\lib\site-packages\h11\_state.py", line 251, in _fire_event_triggered_transitions
    raise LocalProtocolError(
h11._util.LocalProtocolError: can't handle event type ConnectionClosed when role=SERVER and state=SEND_RESPONSE
API error: POST: http://127.0.0.1:7860/api/predict {'error': 'LocalProtocolError', 'detail': '', 'body': '', 'errors': "Can't send data when our state is ERROR"}
                                                                                                                       ╭───────────────────────────────────────── Traceback (most recent call last) ──────────────────────────────────────────╮
│ C:\AI\stable-diffusion-webui\venv\lib\site-packages\starlette\middleware\errors.py:162 in __call__                   │
│                                                                                                                      │
│ C:\AI\stable-diffusion-webui\venv\lib\site-packages\starlette\middleware\base.py:109 in __call__                     │
│                                                                                                                      │
│                                               ... 7 frames hidden ...                                                │
│                                                                                                                      │
│ C:\AI\stable-diffusion-webui\venv\lib\site-packages\h11\_connection.py:468 in send                                   │
│                                                                                                                      │
│   467 │   │   """                                                                                                    │
│ ❱ 468 │   │   data_list = self.send_with_data_passthrough(event)                                                     │
│   469 │   │   if data_list is None:                                                                                  │
│                                                                                                                      │
│ ╭───────────────────────────────────────────────────── locals ─────────────────────────────────────────────────────╮ │
│ │ event = Response(status_code=200, headers=<Headers([(b'date', b'Sun, 23 Jul 2023 19:09:05 GMT'), (b'server',     │ │
│ │         b'uvicorn'), (b'content-length', b'22667'), (b'content-type', b'application/json'), (b'x-process-time',  │ │
│ │         b'7.2564')])>, http_version=b'1.1', reason=b'OK')                                                        │ │
│ │  self = <h11._connection.Connection object at 0x00000200E8A84E80>                                                │ │
│ ╰──────────────────────────────────────────────────────────────────────────────────────────────────────────────────╯ │
│                                                                                                                      │
│ C:\AI\stable-diffusion-webui\venv\lib\site-packages\h11\_connection.py:483 in send_with_data_passthrough             │
│                                                                                                                      │
│   482 │   │   if self.our_state is ERROR:                                                                            │
│ ❱ 483 │   │   │   raise LocalProtocolError("Can't send data when our state is ERROR")                                │
│   484 │   │   try:                                                                                                   │
│                                                                                                                      │
│ ╭───────────────────────────────────────────────────── locals ─────────────────────────────────────────────────────╮ │
│ │ event = Response(status_code=200, headers=<Headers([(b'date', b'Sun, 23 Jul 2023 19:09:05 GMT'), (b'server',     │ │
│ │         b'uvicorn'), (b'content-length', b'22667'), (b'content-type', b'application/json'), (b'x-process-time',  │ │
│ │         b'7.2564')])>, http_version=b'1.1', reason=b'OK')                                                        │ │
│ │  self = <h11._connection.Connection object at 0x00000200E8A84E80>                                                │ │
│ ╰──────────────────────────────────────────────────────────────────────────────────────────────────────────────────╯ │
╰──────────────────────────────────────────────────────────────────────────────────────────────────────────────────────╯
LocalProtocolError: Can't send data when our state is ERROR
 50%|██████████████████████████████████████████                                          | 2/4 [00:21<00:21, 10.75s/it]ERROR:    Exception in ASGI application
Traceback (most recent call last):
  File "C:\AI\stable-diffusion-webui\venv\lib\site-packages\uvicorn\protocols\http\h11_impl.py", line 428, in run_asgi
    result = await app(  # type: ignore[func-returns-value]
  File "C:\AI\stable-diffusion-webui\venv\lib\site-packages\uvicorn\middleware\proxy_headers.py", line 78, in __call__
    return await self.app(scope, receive, send)
  File "C:\AI\stable-diffusion-webui\venv\lib\site-packages\fastapi\applications.py", line 273, in __call__
    await super().__call__(scope, receive, send)
  File "C:\AI\stable-diffusion-webui\venv\lib\site-packages\starlette\applications.py", line 122, in __call__
    await self.middleware_stack(scope, receive, send)
  File "C:\AI\stable-diffusion-webui\venv\lib\site-packages\starlette\middleware\errors.py", line 184, in __call__
    raise exc
  File "C:\AI\stable-diffusion-webui\venv\lib\site-packages\starlette\middleware\errors.py", line 162, in __call__
    await self.app(scope, receive, _send)
  File "C:\AI\stable-diffusion-webui\venv\lib\site-packages\starlette\middleware\base.py", line 109, in __call__
    await response(scope, receive, send)
  File "C:\AI\stable-diffusion-webui\venv\lib\site-packages\starlette\responses.py", line 270, in __call__
    async with anyio.create_task_group() as task_group:
  File "C:\AI\stable-diffusion-webui\venv\lib\site-packages\anyio\_backends\_asyncio.py", line 597, in __aexit__
    raise exceptions[0]
  File "C:\AI\stable-diffusion-webui\venv\lib\site-packages\starlette\responses.py", line 273, in wrap
    await func()
  File "C:\AI\stable-diffusion-webui\venv\lib\site-packages\starlette\middleware\base.py", line 134, in stream_response
    return await super().stream_response(send)
  File "C:\AI\stable-diffusion-webui\venv\lib\site-packages\starlette\responses.py", line 255, in stream_response
    await send(
  File "C:\AI\stable-diffusion-webui\venv\lib\site-packages\starlette\middleware\errors.py", line 159, in _send
    await send(message)
  File "C:\AI\stable-diffusion-webui\venv\lib\site-packages\uvicorn\protocols\http\h11_impl.py", line 512, in send
    output = self.conn.send(event)
  File "C:\AI\stable-diffusion-webui\venv\lib\site-packages\h11\_connection.py", line 468, in send
    data_list = self.send_with_data_passthrough(event)
  File "C:\AI\stable-diffusion-webui\venv\lib\site-packages\h11\_connection.py", line 483, in send_with_data_passthrough
    raise LocalProtocolError("Can't send data when our state is ERROR")
h11._util.LocalProtocolError: Can't send data when our state is ERROR
Task exception was never retrieved
future: <Task finished name='dhvudlkwb2_590' coro=<Queue.process_events() done, defined at C:\AI\stable-diffusion-webui\venv\lib\site-packages\gradio\queueing.py:343> exception=ValueError('[<gradio.queueing.Event object at 0x00000200E8A878B0>] is not in list')>
Traceback (most recent call last):
  File "C:\AI\stable-diffusion-webui\venv\lib\site-packages\gradio\queueing.py", line 370, in process_events
    while response.json.get("is_generating", False):
  File "C:\AI\stable-diffusion-webui\venv\lib\site-packages\gradio\utils.py", line 538, in json
    return self._json_response_data
AttributeError: 'AsyncRequest' object has no attribute '_json_response_data'

During handling of the above exception, another exception occurred:

Traceback (most recent call last):
  File "C:\AI\stable-diffusion-webui\venv\lib\site-packages\gradio\queueing.py", line 432, in process_events
    self.active_jobs[self.active_jobs.index(events)] = None
ValueError: [<gradio.queueing.Event object at 0x00000200E8A878B0>] is not in list
100%|████████████████████████████████████████████████████████████████████████████████████| 4/4 [00:43<00:00, 10.94s/it]
2023-07-23 20:09:39,536 - AnimateDiff - INFO - Removing motion module from SD1.5 UNet input blocks.33<00:00,  9.21s/it]
2023-07-23 20:09:39,537 - AnimateDiff - INFO - Removing motion module from SD1.5 UNet output blocks.
2023-07-23 20:09:39,538 - AnimateDiff - INFO - Removal finished.
2023-07-23 20:09:39,538 - AnimateDiff - INFO - Merging images into GIF.
2023-07-23 20:09:41,505 - AnimateDiff - INFO - AnimateDiff process end.
Total progress: 100%|████████████████████████████████████████████████████████████████████| 4/4 [00:40<00:00, 10.06s/it]
Total progress: 100%|████████████████████████████████████████████████████████████████████| 4/4 [00:40<00:00,  9.21s/it]

.\webui.bat --listen --enable-insecure-extension-access --api

XHRGET
http://192.168.1.116:7860/openpose_editor_index
[HTTP/1.1 404 Not Found 1ms]

gradio_ver:3.23.0 civitai_helper.js:337:13
found active tab: undefined civitai_helper.js:438:21

(Those are emitted when the UI starts up; no logs emitted during GIF generation)

idk

idk

--opt-sdp-attention --no-half-vae

See above

@echo off

set PYTHON=
set GIT=
set VENV_DIR=
set COMMANDLINE_ARGS=--medvram --theme dark
set PYTORCH_CUDA_ALLOC_CONF=garbage_collection_threshold:0.6,max_split_size_mb:128
set OPTIMIZED_TURBO=true

call webui.bat

2023-07-24 13:13:32,058 - AnimateDiff - INFO - Loading motion module mm_sd_v15.ckpt from D:\AI shit\A1111 Web UI Autoinstaller\stable-diffusion-webui-directml\extensions\sd-webui-animatediff\model\mm_sd_v15.ckpt
*** Error running before_process: D:\AI shit\A1111 Web UI Autoinstaller\stable-diffusion-webui-directml\extensions\sd-webui-animatediff\scripts\animatediff.py
    Traceback (most recent call last):
      File "D:\AI shit\A1111 Web UI Autoinstaller\stable-diffusion-webui-directml\modules\scripts.py", line 466, in before_process
        script.before_process(p, *script_args)
      File "D:\AI shit\A1111 Web UI Autoinstaller\stable-diffusion-webui-directml\extensions\sd-webui-animatediff\scripts\animatediff.py", line 128, in before_process
        self.inject_motion_modules(p, model)
      File "D:\AI shit\A1111 Web UI Autoinstaller\stable-diffusion-webui-directml\extensions\sd-webui-animatediff\scripts\animatediff.py", line 79, in inject_motion_modules
        mm_state_dict = torch.load(model_path, map_location=device)
      File "D:\AI shit\A1111 Web UI Autoinstaller\stable-diffusion-webui-directml\modules\safe.py", line 108, in load
        return load_with_extra(filename, *args, extra_handler=global_extra_handler, **kwargs)
      File "D:\AI shit\A1111 Web UI Autoinstaller\stable-diffusion-webui-directml\modules\safe.py", line 156, in load_with_extra
        return unsafe_torch_load(filename, *args, **kwargs)
      File "D:\AI shit\A1111 Web UI Autoinstaller\stable-diffusion-webui-directml\venv\lib\site-packages\torch\serialization.py", line 809, in load
        return _load(opened_zipfile, map_location, pickle_module, **pickle_load_args)
      File "D:\AI shit\A1111 Web UI Autoinstaller\stable-diffusion-webui-directml\venv\lib\site-packages\torch\serialization.py", line 1172, in _load
        result = unpickler.load()
      File "C:\Users\fungus\AppData\Local\Programs\Python\Python310\lib\pickle.py", line 1213, in load
        dispatch[key[0]](self)
      File "C:\Users\fungus\AppData\Local\Programs\Python\Python310\lib\pickle.py", line 1254, in load_binpersid
        self.append(self.persistent_load(pid))
      File "D:\AI shit\A1111 Web UI Autoinstaller\stable-diffusion-webui-directml\venv\lib\site-packages\torch\serialization.py", line 1142, in persistent_load
        typed_storage = load_tensor(dtype, nbytes, key, _maybe_decode_ascii(location))
      File "D:\AI shit\A1111 Web UI Autoinstaller\stable-diffusion-webui-directml\venv\lib\site-packages\torch\serialization.py", line 1116, in load_tensor
        wrap_storage=restore_location(storage, location),
      File "D:\AI shit\A1111 Web UI Autoinstaller\stable-diffusion-webui-directml\venv\lib\site-packages\torch\serialization.py", line 1086, in restore_location
        return default_restore_location(storage, str(map_location))
      File "D:\AI shit\A1111 Web UI Autoinstaller\stable-diffusion-webui-directml\venv\lib\site-packages\torch\serialization.py", line 220, in default_restore_location
        raise RuntimeError("don't know how to restore data location of "
    RuntimeError: don't know how to restore data location of torch.storage.UntypedStorage (tagged with privateuseone:0)

---
  0%|                                                                                           | 0/20 [00:01<?, ?it/s]
*** Error completing request
*** Arguments: ('task(5ngtapseuwup5ra)', 'by zackary911, (salazzle, pokemon, anthro), scalie, scales, [female|ambiguous gender], (girly:1.3), (muscular:0.3), [musclegut, slightly chubby, overweight:8], flat chest, moobs, blowjob', 'hair,deformed,ugly,blurry,bad anatomy,disfigured,extra limb,deformed hands,deformed feet,face out of frame,multiple tails,((bad anatomy)),disfigured,deformed,malformed,mutant,monstrous,ugly,gross,disgusting,blurry,poorly drawn,extra limbs,extra fingers,missing limbs,amputee,malformed hands,multi balls,multi penis,floating penis,dialogue,text,deformed face,hair,cub,child, (((3 toes, 5 toes)))', [], 20, 0, False, False, 1, 1, 7, -1.0, -1.0, 0, 0, 0, False, 256, 256, False, 0.75, 2, 'Latent', 0, 0, 0, 0, '', '', [], 0, 0, False, 0, False, False, False, 1, False, False, False, 1.1, 1.5, 100, 0.7, False, False, True, False, False, 0, 'Gustavosta/MagicPrompt-Stable-Diffusion', '', True, 0, 8, 4, 'mm_sd_v15.ckpt', False, False, 'positive', 'comma', 0, False, False, '', 1, '', [], 0, '', [], 0, '', [], True, False, False, False, 0) {}
    Traceback (most recent call last):
      File "D:\AI shit\A1111 Web UI Autoinstaller\stable-diffusion-webui-directml\modules\call_queue.py", line 55, in f
        res = list(func(*args, **kwargs))
      File "D:\AI shit\A1111 Web UI Autoinstaller\stable-diffusion-webui-directml\modules\call_queue.py", line 35, in f
        res = func(*args, **kwargs)
      File "D:\AI shit\A1111 Web UI Autoinstaller\stable-diffusion-webui-directml\modules\txt2img.py", line 64, in txt2img
        processed = processing.process_images(p)
      File "D:\AI shit\A1111 Web UI Autoinstaller\stable-diffusion-webui-directml\modules\processing.py", line 623, in process_images
        res = process_images_inner(p)
      File "D:\AI shit\A1111 Web UI Autoinstaller\stable-diffusion-webui-directml\modules\processing.py", line 742, in process_images_inner
        samples_ddim = p.sample(conditioning=p.c, unconditional_conditioning=p.uc, seeds=p.seeds, subseeds=p.subseeds, subseed_strength=p.subseed_strength, prompts=p.prompts)
      File "D:\AI shit\A1111 Web UI Autoinstaller\stable-diffusion-webui-directml\modules\processing.py", line 995, in sample
        samples = self.sampler.sample(self, x, conditioning, unconditional_conditioning, image_conditioning=self.txt2img_image_conditioning(x))
      File "D:\AI shit\A1111 Web UI Autoinstaller\stable-diffusion-webui-directml\modules\sd_samplers_kdiffusion.py", line 439, in sample
        samples = self.launch_sampling(steps, lambda: self.func(self.model_wrap_cfg, x, extra_args={
      File "D:\AI shit\A1111 Web UI Autoinstaller\stable-diffusion-webui-directml\modules\sd_samplers_kdiffusion.py", line 278, in launch_sampling
        return func()
      File "D:\AI shit\A1111 Web UI Autoinstaller\stable-diffusion-webui-directml\modules\sd_samplers_kdiffusion.py", line 439, in <lambda>
        samples = self.launch_sampling(steps, lambda: self.func(self.model_wrap_cfg, x, extra_args={
      File "D:\AI shit\A1111 Web UI Autoinstaller\stable-diffusion-webui-directml\venv\lib\site-packages\torch\utils\_contextlib.py", line 115, in decorate_context
        return func(*args, **kwargs)
      File "D:\AI shit\A1111 Web UI Autoinstaller\stable-diffusion-webui-directml\repositories\k-diffusion\k_diffusion\sampling.py", line 145, in sample_euler_ancestral
        denoised = model(x, sigmas[i] * s_in, **extra_args)
      File "D:\AI shit\A1111 Web UI Autoinstaller\stable-diffusion-webui-directml\venv\lib\site-packages\torch\nn\modules\module.py", line 1501, in _call_impl
        return forward_call(*args, **kwargs)
      File "D:\AI shit\A1111 Web UI Autoinstaller\stable-diffusion-webui-directml\modules\sd_samplers_kdiffusion.py", line 177, in forward
        x_out[a:b] = self.inner_model(x_in[a:b], sigma_in[a:b], cond=make_condition_dict(c_crossattn, image_cond_in[a:b]))
      File "D:\AI shit\A1111 Web UI Autoinstaller\stable-diffusion-webui-directml\venv\lib\site-packages\torch\nn\modules\module.py", line 1501, in _call_impl
        return forward_call(*args, **kwargs)
      File "D:\AI shit\A1111 Web UI Autoinstaller\stable-diffusion-webui-directml\repositories\k-diffusion\k_diffusion\external.py", line 112, in forward
        eps = self.get_eps(input * c_in, self.sigma_to_t(sigma), **kwargs)
      File "D:\AI shit\A1111 Web UI Autoinstaller\stable-diffusion-webui-directml\repositories\k-diffusion\k_diffusion\external.py", line 138, in get_eps
        return self.inner_model.apply_model(*args, **kwargs)
      File "D:\AI shit\A1111 Web UI Autoinstaller\stable-diffusion-webui-directml\modules\sd_hijack_utils.py", line 17, in <lambda>
        setattr(resolved_obj, func_path[-1], lambda *args, **kwargs: self(*args, **kwargs))
      File "D:\AI shit\A1111 Web UI Autoinstaller\stable-diffusion-webui-directml\modules\sd_hijack_utils.py", line 28, in __call__
        return self.__orig_func(*args, **kwargs)
      File "D:\AI shit\A1111 Web UI Autoinstaller\stable-diffusion-webui-directml\repositories\stable-diffusion-stability-ai\ldm\models\diffusion\ddpm.py", line 858, in apply_model
        x_recon = self.model(x_noisy, t, **cond)
      File "D:\AI shit\A1111 Web UI Autoinstaller\stable-diffusion-webui-directml\venv\lib\site-packages\torch\nn\modules\module.py", line 1538, in _call_impl
        result = forward_call(*args, **kwargs)
      File "D:\AI shit\A1111 Web UI Autoinstaller\stable-diffusion-webui-directml\repositories\stable-diffusion-stability-ai\ldm\models\diffusion\ddpm.py", line 1335, in forward
        out = self.diffusion_model(x, t, context=cc)
      File "D:\AI shit\A1111 Web UI Autoinstaller\stable-diffusion-webui-directml\venv\lib\site-packages\torch\nn\modules\module.py", line 1501, in _call_impl
        return forward_call(*args, **kwargs)
      File "D:\AI shit\A1111 Web UI Autoinstaller\stable-diffusion-webui-directml\modules\sd_unet.py", line 91, in UNetModel_forward
        return ldm.modules.diffusionmodules.openaimodel.copy_of_UNetModel_forward_for_webui(self, x, timesteps, context, *args, **kwargs)
      File "D:\AI shit\A1111 Web UI Autoinstaller\stable-diffusion-webui-directml\repositories\stable-diffusion-stability-ai\ldm\modules\diffusionmodules\openaimodel.py", line 802, in forward
        h = module(h, emb, context)
      File "D:\AI shit\A1111 Web UI Autoinstaller\stable-diffusion-webui-directml\venv\lib\site-packages\torch\nn\modules\module.py", line 1501, in _call_impl
        return forward_call(*args, **kwargs)
      File "D:\AI shit\A1111 Web UI Autoinstaller\stable-diffusion-webui-directml\extensions\sd-webui-animatediff\scripts\animatediff.py", line 25, in mm_tes_forward
        x = layer(x)
      File "D:\AI shit\A1111 Web UI Autoinstaller\stable-diffusion-webui-directml\venv\lib\site-packages\torch\nn\modules\module.py", line 1501, in _call_impl
        return forward_call(*args, **kwargs)
      File "D:\AI shit\A1111 Web UI Autoinstaller\stable-diffusion-webui-directml\repositories\stable-diffusion-stability-ai\ldm\modules\diffusionmodules\openaimodel.py", line 109, in forward
        assert x.shape[1] == self.channels
    AssertionError

---