lllyasviel
[Bug]: EinopsError: Error while processing rearrange-reduction pattern
Checklist
- [ ] The issue exists after disabling all extensions
- [X] The issue exists on a clean installation of webui
- [X] The issue is caused by an extension, but I believe it is caused by a bug in the webui
- [X] The issue exists in the current version of the webui
- [X] The issue has not been reported before recently
- [ ] The issue has been reported before but has not been fixed yet
What happened?
Installed AnimateDiff via 'Extensions' tab. UI reloaded. Downloaded models and Lora's for AnimateDiff. Download example (from youtube video) model "ToonYou". Prompt: (masterpiece, best quality), 1girl, collarbone, wavy hair, looking at viewer, blurry foreground, upper body, necklace, contemporary, plain pants, ((intricate, print, pattern)), ponytail, freckles, red hair, dappled sunlight, smile, happy, Enabled "AnimateDiff" and click to generate. After 5 second i have error^ EinopsError: Error while processing rearrange-reduction pattern "(b f) d c -> (b d) f c". Input tensor shape: torch.Size([2, 6144, 320]). Additional info: {'f': 16}. Shape mismatch, can't divide axis of length 2 in chunks of 16
Steps to reproduce the problem
Installed AnimateDiff via 'Extensions' tab. UI reloaded. Downloaded models and Lora's for AnimateDiff. Download example (from youtube video) model "ToonYou". Prompt: (masterpiece, best quality), 1girl, collarbone, wavy hair, looking at viewer, blurry foreground, upper body, necklace, contemporary, plain pants, ((intricate, print, pattern)), ponytail, freckles, red hair, dappled sunlight, smile, happy, Enabled "AnimateDiff" and click to generate. After 5 second i have error^ EinopsError: Error while processing rearrange-reduction pattern "(b f) d c -> (b d) f c". Input tensor shape: torch.Size([2, 6144, 320]). Additional info: {'f': 16}. Shape mismatch, can't divide axis of length 2 in chunks of 16
What should have happened?
Generated animation...
What browsers do you use to access the UI ?
Google Chrome
Sysinfo
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Console logs
2024-03-31 22:35:02,548 - AnimateDiff - INFO - AnimateDiff process start.
2024-03-31 22:35:02,548 - AnimateDiff - INFO - Loading motion module mm_sd_v15_v2.ckpt from D:\sdi_forge\webui\extensions\sd-webui-animatediff\model\mm_sd_v15_v2.ckpt
2024-03-31 22:35:03,209 - AnimateDiff - INFO - Guessed mm_sd_v15_v2.ckpt architecture: MotionModuleType.AnimateDiffV2
2024-03-31 22:35:06,653 - AnimateDiff - INFO - Injecting motion module mm_sd_v15_v2.ckpt into SD1.5 UNet middle block.
2024-03-31 22:35:06,654 - AnimateDiff - INFO - Injecting motion module mm_sd_v15_v2.ckpt into SD1.5 UNet input blocks.
2024-03-31 22:35:06,654 - AnimateDiff - INFO - Injecting motion module mm_sd_v15_v2.ckpt into SD1.5 UNet output blocks.
2024-03-31 22:35:06,654 - AnimateDiff - INFO - Setting DDIM alpha.
*** Error running before_process: D:\sdi_forge\webui\extensions\sd-webui-animatediff\scripts\animatediff.py
Traceback (most recent call last):
File "D:\sdi_forge\webui\modules\scripts.py", line 790, in before_process
script.before_process(p, *script_args)
File "D:\sdi_forge\webui\extensions\sd-webui-animatediff\scripts\animatediff.py", line 64, in before_process
motion_module.inject(p.sd_model, params.model)
File "D:\sdi_forge\webui\extensions\sd-webui-animatediff\scripts\animatediff_mm.py", line 112, in inject
self._set_ddim_alpha(sd_model)
File "D:\sdi_forge\webui\extensions\sd-webui-animatediff\scripts\animatediff_mm.py", line 178, in _set_ddim_alpha
self.prev_alpha_cumprod_original = sd_model.alphas_cumprod_original
File "D:\sdi_forge\system\python\lib\site-packages\torch\nn\modules\module.py", line 1695, in __getattr__
raise AttributeError(f"'{type(self).__name__}' object has no attribute '{name}'")
AttributeError: 'LatentDiffusion' object has no attribute 'alphas_cumprod_original'
---
To load target model BaseModel
Begin to load 1 model
Moving model(s) has taken 0.43 seconds
0%| | 0/30 [00:00<?, ?it/s]2024-03-31 22:35:07,204 - 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%| | 0/30 [00:00<?, ?it/s]
*** Error completing request
*** Arguments: ('task(g8konxa748x3cu4)', <gradio.routes.Request object at 0x0000022716F2FF10>, '(masterpiece, best quality), 1girl, collarbone, wavy hair, looking at viewer, blurry foreground, upper body, necklace, contemporary, plain pants, ((intricate, print, pattern)), ponytail, freckles, red hair, dappled sunlight, smile, happy,', '(worst quality, low quality, letterboxed)', [], 30, 'Euler a', 1, 1, 8, 768, 512, False, 0.35, 1.5, 'R-ESRGAN 4x+ Anime6B', 14, 0, 0, 'Use same checkpoint', 'Use same sampler', '', '', [], 0, False, '', 0.8, -1, False, -1, 0, 0, 0, UiControlNetUnit(input_mode=<InputMode.SIMPLE: 'simple'>, use_preview_as_input=False, batch_image_dir='', batch_input_gallery=[], generated_image=None, mask_image=None, enabled=False, module='None', model='None', weight=1, image=None, resize_mode='Crop and Resize', processor_res=-1, threshold_a=-1, threshold_b=-1, guidance_start=0, guidance_end=1, pixel_perfect=False, control_mode='Balanced'), UiControlNetUnit(input_mode=<InputMode.SIMPLE: 'simple'>, use_preview_as_input=False, batch_image_dir='', batch_input_gallery=[], generated_image=None, mask_image=None, enabled=False, module='None', model='None', weight=1, image=None, resize_mode='Crop and Resize', processor_res=-1, threshold_a=-1, threshold_b=-1, guidance_start=0, guidance_end=1, pixel_perfect=False, control_mode='Balanced'), UiControlNetUnit(input_mode=<InputMode.SIMPLE: 'simple'>, use_preview_as_input=False, batch_image_dir='', batch_input_gallery=[], generated_image=None, mask_image=None, enabled=False, module='None', model='None', weight=1, image=None, resize_mode='Crop and Resize', processor_res=-1, threshold_a=-1, threshold_b=-1, guidance_start=0, guidance_end=1, pixel_perfect=False, control_mode='Balanced'), False, 1.01, 1.02, 0.99, 0.95, False, 256, 2, 0, False, False, 3, 2, 0, 0.35, True, 'bicubic', 'bicubic', False, 0.5, 2, False, False, False, {'ad_model': 'face_yolov8n.pt', 'ad_model_classes': '', 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{'ad_model': 'None', 'ad_model_classes': '', 'ad_prompt': '', 'ad_negative_prompt': '', 'ad_confidence': 0.3, 'ad_mask_k_largest': 0, '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_checkpoint': False, 'ad_checkpoint': 'Use same checkpoint', 'ad_use_vae': False, 'ad_vae': 'Use same VAE', 'ad_use_sampler': False, 'ad_sampler': 'DPM++ 2M Karras', 'ad_use_noise_multiplier': False, 'ad_noise_multiplier': 1, 'ad_use_clip_skip': False, 'ad_clip_skip': 1, 'ad_restore_face': False, 'ad_controlnet_model': 'None', 'ad_controlnet_module': 'None', 'ad_controlnet_weight': 1, 'ad_controlnet_guidance_start': 0, 'ad_controlnet_guidance_end': 1, 'is_api': ()}, None, <scripts.animatediff_ui.AnimateDiffProcess object at 0x0000022716F2CB20>, None, '', None, True, False, False, False, False, False, 0, 0, '0', 0, False, True, 0, 'Portrait of a [gender]', 'blurry', 20, ['DPM++ 2M Karras'], '', 0, None, 1, 1, '', False, False, False, 1, 0, 'Portrait of a [gender]', 'blurry', 20, ['DPM++ 2M Karras'], '', 0, None, '', None, True, False, False, False, False, False, 0, 0, '0', 0, False, True, 0, 'Portrait of a [gender]', 'blurry', 20, ['DPM++ 2M Karras'], '', 0, None, 1, 1, '', False, False, False, 1, 0, 'Portrait of a [gender]', 'blurry', 20, ['DPM++ 2M Karras'], '', 0, None, '', None, True, False, False, False, False, False, 0, 0, '0', 0, False, True, 0, 'Portrait of a [gender]', 'blurry', 20, ['DPM++ 2M Karras'], '', 0, None, 1, 1, '', False, False, False, 1, 0, 'Portrait of a [gender]', 'blurry', 20, ['DPM++ 2M Karras'], '', 0, None, 1, 1, '', 1, 1, ['After Upscaling/Before Restore Face'], 0, 'Portrait of a [gender]', 'blurry', 20, ['DPM++ 2M Karras'], '', 0, None, False, '0', '0', 'inswapper_128.onnx', 'CodeFormer', 1, True, 'None', 1, 1, False, True, 1, 0, 0, False, 0.5, True, False, 'CUDA', False, 0, 'None', '', None, False, False, 0.5, 0, 2, 150, True, False, False, 'positive', 'comma', 0, False, False, 'start', '', 1, '', [], 0, '', [], 0, '', [], True, False, False, False, False, False, False, 0, False, 'Blur First V1', 0.25, 10, 10, 10, 10, 1, False, '', '', 0.5, 1, False) {}
Traceback (most recent call last):
File "D:\sdi_forge\system\python\lib\site-packages\einops\einops.py", line 523, in reduce
return _apply_recipe(
File "D:\sdi_forge\system\python\lib\site-packages\einops\einops.py", line 234, in _apply_recipe
init_shapes, axes_reordering, reduced_axes, added_axes, final_shapes, n_axes_w_added = _reconstruct_from_shape(
File "D:\sdi_forge\system\python\lib\site-packages\einops\einops.py", line 187, in _reconstruct_from_shape_uncached
raise EinopsError(f"Shape mismatch, can't divide axis of length {length} in chunks of {known_product}")
einops.EinopsError: Shape mismatch, can't divide axis of length 2 in chunks of 16
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "D:\sdi_forge\webui\modules\call_queue.py", line 57, in f
res = list(func(*args, **kwargs))
File "D:\sdi_forge\webui\modules\call_queue.py", line 36, in f
res = func(*args, **kwargs)
File "D:\sdi_forge\webui\modules\txt2img.py", line 110, in txt2img
processed = processing.process_images(p)
File "D:\sdi_forge\webui\modules\processing.py", line 749, in process_images
res = process_images_inner(p)
File "D:\sdi_forge\webui\modules\processing.py", line 920, 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:\sdi_forge\webui\modules\processing.py", line 1275, in sample
samples = self.sampler.sample(self, x, conditioning, unconditional_conditioning, image_conditioning=self.txt2img_image_conditioning(x))
File "D:\sdi_forge\webui\modules\sd_samplers_kdiffusion.py", line 251, in sample
samples = self.launch_sampling(steps, lambda: self.func(self.model_wrap_cfg, x, extra_args=self.sampler_extra_args, disable=False, callback=self.callback_state, **extra_params_kwargs))
File "D:\sdi_forge\webui\modules\sd_samplers_common.py", line 260, in launch_sampling
return func()
File "D:\sdi_forge\webui\modules\sd_samplers_kdiffusion.py", line 251, in <lambda>
samples = self.launch_sampling(steps, lambda: self.func(self.model_wrap_cfg, x, extra_args=self.sampler_extra_args, disable=False, callback=self.callback_state, **extra_params_kwargs))
File "D:\sdi_forge\system\python\lib\site-packages\torch\utils\_contextlib.py", line 115, in decorate_context
return func(*args, **kwargs)
File "D:\sdi_forge\webui\repositories\k-diffusion\k_diffusion\sampling.py", line 145, in sample_euler_ancestral
denoised = model(x, sigmas[i] * s_in, **extra_args)
File "D:\sdi_forge\system\python\lib\site-packages\torch\nn\modules\module.py", line 1518, in _wrapped_call_impl
return self._call_impl(*args, **kwargs)
File "D:\sdi_forge\system\python\lib\site-packages\torch\nn\modules\module.py", line 1527, in _call_impl
return forward_call(*args, **kwargs)
File "D:\sdi_forge\webui\modules\sd_samplers_cfg_denoiser.py", line 179, in forward
denoised = forge_sampler.forge_sample(self, denoiser_params=denoiser_params,
File "D:\sdi_forge\webui\modules_forge\forge_sampler.py", line 82, in forge_sample
denoised = sampling_function(model, x, timestep, uncond, cond, cond_scale, model_options, seed)
File "D:\sdi_forge\webui\ldm_patched\modules\samplers.py", line 282, in sampling_function
cond_pred, uncond_pred = calc_cond_uncond_batch(model, cond, uncond_, x, timestep, model_options)
File "D:\sdi_forge\webui\ldm_patched\modules\samplers.py", line 253, in calc_cond_uncond_batch
output = model.apply_model(input_x, timestep_, **c).chunk(batch_chunks)
File "D:\sdi_forge\webui\ldm_patched\modules\model_base.py", line 85, in apply_model
model_output = self.diffusion_model(xc, t, context=context, control=control, transformer_options=transformer_options, **extra_conds).float()
File "D:\sdi_forge\system\python\lib\site-packages\torch\nn\modules\module.py", line 1518, in _wrapped_call_impl
return self._call_impl(*args, **kwargs)
File "D:\sdi_forge\system\python\lib\site-packages\torch\nn\modules\module.py", line 1527, in _call_impl
return forward_call(*args, **kwargs)
File "D:\sdi_forge\webui\ldm_patched\ldm\modules\diffusionmodules\openaimodel.py", line 860, in forward
h = forward_timestep_embed(module, h, emb, context, transformer_options, time_context=time_context, num_video_frames=num_video_frames, image_only_indicator=image_only_indicator)
File "D:\sdi_forge\webui\ldm_patched\ldm\modules\diffusionmodules\openaimodel.py", line 54, in forward_timestep_embed
x = layer(x)
File "D:\sdi_forge\system\python\lib\site-packages\torch\nn\modules\module.py", line 1518, in _wrapped_call_impl
return self._call_impl(*args, **kwargs)
File "D:\sdi_forge\system\python\lib\site-packages\torch\nn\modules\module.py", line 1527, in _call_impl
return forward_call(*args, **kwargs)
File "D:\sdi_forge\webui\extensions\sd-webui-animatediff\motion_module.py", line 136, in forward
return self.temporal_transformer(x)
File "D:\sdi_forge\system\python\lib\site-packages\torch\nn\modules\module.py", line 1518, in _wrapped_call_impl
return self._call_impl(*args, **kwargs)
File "D:\sdi_forge\system\python\lib\site-packages\torch\nn\modules\module.py", line 1527, in _call_impl
return forward_call(*args, **kwargs)
File "D:\sdi_forge\webui\extensions\sd-webui-animatediff\motion_module.py", line 194, in forward
hidden_states = block(hidden_states)
File "D:\sdi_forge\system\python\lib\site-packages\torch\nn\modules\module.py", line 1518, in _wrapped_call_impl
return self._call_impl(*args, **kwargs)
File "D:\sdi_forge\system\python\lib\site-packages\torch\nn\modules\module.py", line 1527, in _call_impl
return forward_call(*args, **kwargs)
File "D:\sdi_forge\webui\extensions\sd-webui-animatediff\motion_module.py", line 248, in forward
hidden_states = attention_block(norm_hidden_states) + hidden_states
File "D:\sdi_forge\system\python\lib\site-packages\torch\nn\modules\module.py", line 1518, in _wrapped_call_impl
return self._call_impl(*args, **kwargs)
File "D:\sdi_forge\system\python\lib\site-packages\torch\nn\modules\module.py", line 1527, in _call_impl
return forward_call(*args, **kwargs)
File "D:\sdi_forge\webui\extensions\sd-webui-animatediff\motion_module.py", line 337, in forward
x = rearrange(x, "(b f) d c -> (b d) f c", f=video_length)
File "D:\sdi_forge\system\python\lib\site-packages\einops\einops.py", line 591, in rearrange
return reduce(tensor, pattern, reduction="rearrange", **axes_lengths)
File "D:\sdi_forge\system\python\lib\site-packages\einops\einops.py", line 533, in reduce
raise EinopsError(message + "\n {}".format(e))
einops.EinopsError: Error while processing rearrange-reduction pattern "(b f) d c -> (b d) f c".
Input tensor shape: torch.Size([2, 6144, 320]). Additional info: {'f': 16}.
Shape mismatch, can't divide axis of length 2 in chunks of 16
---
Additional information
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