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fooocus-taiyi-xl's Issues

无法复现模型效果

pipeline_text2image = StableDiffusionXLPipeline.from_single_file( "/taiyi_diffusion_xl.safetensors", torch_dtype=torch.float16, variant="fp16", use_safetensors=True ).to("cuda") prompt = "一个宇航员骑着白马" neg_prompt = "" generator = torch.Generator(torch.device("cuda")).manual_seed(1234) num_inference_steps = 50 guidance_scale = 7 image = pipeline_text2image( prompt=prompt, negative_prompt=neg_prompt, height=1024, width=1024, generator=generator, num_inference_steps=num_inference_steps, guidance_scale=guidance_scale).images[0]
无法获得一个宇航员骑着白马应用的展示效果。请问是否可以提供一个diffusers的推理结果呢?

Fooocus适配Taiyi-XL模型

从huggingface上下载的Taiyi-XL文件结构与SDXL一致。
请问tokenizer(2个) / text_encoder(2个)以及scheduler下的文件应该放到models下的那个文件下呢?
gradio版本为3.41.2,但是sh run.sh的界面存在问题
截屏2024-01-31 21 21 50

comfy-ui 无法加载模型

请问是只能用Fooocus吗?用sdwebui还有comfyui均在加载模型时报错。类似这样。
size mismatch for cond_stage_model.clip_l.transformer.text_model.embeddings.token_embedding.weight: copying a param with shape torch.Size([57475, 768]) from checkpoint, the shape in current model is torch.Size([49408, 768]).

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