Comments (7)
Getting the same error after a restart, Everything worked prior to the restart of the computer, same error message:
AnimateDiff - WARNING - No motion module detected, falling back to the original forward. You are most likely using !Adetailer. !Adetailer post-process your outputs sequentially, and there will NOT be motion module in your UNet, so there might be NO temporal consistency within the inpainted face. Use at your own risk. If you really want to pursue inpainting with AnimateDiff inserted into UNet, use Segment Anything to generate masks for each frame and inpaint them with AnimateDiff + ControlNet. Note that my proposal might be good or bad, do your own research to figure out the best way.
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Please share the entire output of the console.
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2024-05-06 21:56:11,852 - AnimateDiff - WARNING - No motion module detected, falling back to the original forward. You are most likely using !Adetailer. !Adetailer post-process your outputs sequentially, and there will NOT be motion module in your UNet, so there might be NO temporal consistency within the inpainted face. Use at your own risk. If you really want to pursue inpainting with AnimateDiff inserted into UNet, use Segment Anything to generate masks for each frame and inpaint them with AnimateDiff + ControlNet. Note that my proposal might be good or bad, do your own research to figure out the best way.
0: 640x640 1 hand, 14.0ms
Speed: 4.0ms preprocess, 14.0ms inference, 3.0ms postprocess per image at shape (1, 3, 640, 640)
2024-05-06 21:56:16,786 - AnimateDiff - WARNING - No motion module detected, falling back to the original forward. You are most likely using !Adetailer. !Adetailer post-process your outputs sequentially, and there will NOT be motion module in your UNet, so there might be NO temporal consistency within the inpainted face. Use at your own risk. If you really want to pursue inpainting with AnimateDiff inserted into UNet, use Segment Anything to generate masks for each frame and inpaint them with AnimateDiff + ControlNet. Note that my proposal might be good or bad, do your own research to figure out the best way.
2024-05-06 21:56:20,469 - AnimateDiff - INFO - AnimateDiff process start.
2024-05-06 21:56:20,482 - AnimateDiff - INFO - Injecting motion module mm_sd15_v3.safetensors into SD1.5 UNet input blocks.
2024-05-06 21:56:20,482 - AnimateDiff - INFO - Injecting motion module mm_sd15_v3.safetensors into SD1.5 UNet output blocks.
2024-05-06 21:56:20,483 - AnimateDiff - INFO - Setting DDIM alpha.
2024-05-06 21:56:20,487 - AnimateDiff - INFO - Injection finished.
2024-05-06 21:56:20,487 - AnimateDiff - INFO - AnimateDiff + ControlNet will generate 16 frames
AnimateDiff - WARNING - prompt is not str, cannot support prompt map
I have installed two required motion module. Whether I use the !Adetailer or not,the error still exists. I don't know why.
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I'm experiencing the same issue. The motion modules are in the correct folder. I'm not using ADetailer.
If you find a solution, please share.
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I saw this error come up when attempting to use an SDXL checkpoint with a non-SDXL motion module. The actual error was in the console log above the errors that have been shared here.
from sd-webui-animatediff.
Loading weights [cc6cb27103] from /Users/jaygarett/stable-diffusion-webui/models/Stable-diffusion/v1-5-pruned-emaonly.ckpt
Applying attention optimization: sub-quadratic... done.
Weights loaded in 2.7s (send model to cpu: 0.6s, load weights from disk: 0.9s, apply weights to model: 0.5s, move model to device: 0.7s).
2024-05-26 17:54:39,448 - AnimateDiff - INFO - AnimateDiff process start.
*** Error running before_process: /Users/jaygarett/stable-diffusion-webui/extensions/sd-webui-animatediff/scripts/animatediff.py
Traceback (most recent call last):
File "/Users/jaygarett/stable-diffusion-webui/modules/scripts.py", line 817, in before_process
script.before_process(p, *script_args)
File "/Users/jaygarett/stable-diffusion-webui/extensions/sd-webui-animatediff/scripts/animatediff.py", line 64, in before_process
motion_module.inject(p.sd_model, params.model)
File "/Users/jaygarett/stable-diffusion-webui/extensions/sd-webui-animatediff/scripts/animatediff_mm.py", line 76, in inject
elif self.mm.enable_gn_hack():
File "/Users/jaygarett/stable-diffusion-webui/venv/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1614, in getattr
raise AttributeError("'{}' object has no attribute '{}'".format(
AttributeError: 'MotionWrapper' object has no attribute 'enable_gn_hack'
0%| | 0/30 [00:00<?, ?it/s]2024-05-26 17:54:39,961 - AnimateDiff - WARNING - No motion module detected, falling back to the original forward. You are most likely using !Adetailer. !Adetailer post-process your outputs sequentially, and there will NOT be motion module in your UNet, so there might be NO temporal consistency within the inpainted face. Use at your own risk. If you really want to pursue inpainting with AnimateDiff inserted into UNet, use Segment Anything to generate masks for each frame and inpaint them with AnimateDiff + ControlNet. Note that my proposal might be good or bad, do your own research to figure out the best way.
*****!!!!!!!
I'm not using ADetailer
from sd-webui-animatediff.
Can't troubleshoot without details. Need the full console log from the moment the application is launched, versions of software, generation settings, and any other steps needed to reproduce the error.
from sd-webui-animatediff.
Related Issues (20)
- [Feature]:AnimateDiff v2.0.0, AnimateDiff drawing style problem,The colours aren't quite right. HOT 2
- [Bug]:[程序异常退出,退出代码为 3 (0x00000003)]
- [Bug]: API GIF Output HOT 2
- [Bug]: API Call Uses More Memory than WebUI (Causes CUDA OOM) HOT 1
- [Bug]: Sparse Control does not work HOT 6
- [Bug]: Impossible to run the extension with API HOT 4
- [Bug]: IndexError: index 25 is out of bounds for dimension 0 with size 16
- [Bug]: AnimateDiff is not running correctly. einops.EinopsError: Error while processing rearrange-reduction pattern HOT 3
- [Bug]: Error loading script: animatediff_output.py and animatediff.py HOT 2
- [Bug]: HOT 4
- [Bug]: RuntimeError: CUDA error: device-side assert triggered HOT 4
- [Bug]: SparseCtrl not working in ControlNet HOT 1
- [Bug]: Number of frames has no effect at all HOT 1
- [Dumb Question] Batch prompting SDXL HOT 1
- [Bug]: Distorted Outputs HOT 4
- ㆍ
- [Bug]: API call for SD1.5 with animatediff failed after a simple txt2img API call for SDXL without animatediff
- [Bug]: TypeError: ImageEmbed.__new__() takes 3 positional arguments but 4 were given
- [Bug]: EinopsError: Error while processing rearrange-reduction pattern "(b f) d c -> (b d) f c". Input tensor shape: torch.Size([2, 4096, 320]). Additional info: {'f': 16}. Shape mismatch, can't divide axis of length 2 in chunks of 16 HOT 4
- [Bug]: RuntimeError: CUDA error: device-side assert triggered Compile with `TORCH_USE_CUDA_DSA` to enable device-side assertions.
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