Closed xiaobingb001 closed 5 months ago
I cannot reproduce your error. You should update your extension to the latest version. You should have v2.0.0-a-1-ga81565d
Thank you for your reply. Bug happened on v2.0.2-f and v2.0.0-a I changed to v1.13.1, the animatediff extension ran stably and I got the animation I wanted. Thanks again.
I've been getting the same error on forge/master while running the latest commit of webui-forge.
After some trial and error, I can report that it's only the 'Reference' Controlnet type that triggers this error. There is also no link with the sampler type.
Just in case it's useful, here's the complete traceback.
2024-03-24 18:41:45,737 - ControlNet - INFO - ControlNet Method reference_adain+attn patched.
2024-03-24 18:41:45,739 - AnimateDiff - INFO - Injecting motion module mm_sd15_v3.safetensors into SD1.5 UNet.
To load target model BaseModel
To load target model MotionWrapper
Begin to load 2 models
Reuse 1 loaded models
Reuse 1 loaded models
[Memory Management] Current Free GPU Memory (MB) = 19184.75439453125
[Memory Management] Model Memory (MB) = 0.0
[Memory Management] Minimal Inference Memory (MB) = 1024.0
[Memory Management] Estimated Remaining GPU Memory (MB) = 18160.75439453125
[Memory Management] Current Free GPU Memory (MB) = 19184.75439453125
[Memory Management] Model Memory (MB) = 0.0
[Memory Management] Minimal Inference Memory (MB) = 1024.0
[Memory Management] Estimated Remaining GPU Memory (MB) = 18160.75439453125
Moving model(s) has taken 0.04 seconds
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0%| | 0/10 [00:06<?, ?it/s]
Traceback (most recent call last):
File "/home/adriaan/Code/cloned/use/stable-diffusion/automatic-webui/modules_forge/main_thread.py", line 37, in loop
task.work()
File "/home/adriaan/Code/cloned/use/stable-diffusion/automatic-webui/modules_forge/main_thread.py", line 26, in work
self.result = self.func(*self.args, **self.kwargs)
File "/home/adriaan/Code/cloned/use/stable-diffusion/automatic-webui/modules/txt2img.py", line 111, in txt2img_function
processed = processing.process_images(p)
File "/home/adriaan/Code/cloned/use/stable-diffusion/automatic-webui/modules/processing.py", line 752, in process_images
res = process_images_inner(p)
File "/home/adriaan/Code/cloned/use/stable-diffusion/automatic-webui/modules/processing.py", line 922, 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 "/home/adriaan/Code/cloned/use/stable-diffusion/automatic-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 "/home/adriaan/Code/cloned/use/stable-diffusion/automatic-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 "/home/adriaan/Code/cloned/use/stable-diffusion/automatic-webui/modules/sd_samplers_common.py", line 263, in launch_sampling
return func()
File "/home/adriaan/Code/cloned/use/stable-diffusion/automatic-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 "/home/adriaan/Code/cloned/use/stable-diffusion/automatic-webui/venv/lib/python3.10/site-packages/torch/utils/_contextlib.py", line 115, in decorate_context
return func(*args, **kwargs)
File "/home/adriaan/Code/cloned/use/stable-diffusion/automatic-webui/repositories/k-diffusion/k_diffusion/sampling.py", line 626, in sample_dpmpp_2m_sde
denoised = model(x, sigmas[i] * s_in, **extra_args)
File "/home/adriaan/Code/cloned/use/stable-diffusion/automatic-webui/venv/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1518, in _wrapped_call_impl
return self._call_impl(*args, **kwargs)
File "/home/adriaan/Code/cloned/use/stable-diffusion/automatic-webui/venv/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1527, in _call_impl
return forward_call(*args, **kwargs)
File "/home/adriaan/Code/cloned/use/stable-diffusion/automatic-webui/modules/sd_samplers_cfg_denoiser.py", line 182, in forward
denoised = forge_sampler.forge_sample(self, denoiser_params=denoiser_params,
File "/home/adriaan/Code/cloned/use/stable-diffusion/automatic-webui/modules_forge/forge_sampler.py", line 88, in forge_sample
denoised = sampling_function(model, x, timestep, uncond, cond, cond_scale, model_options, seed)
File "/home/adriaan/Code/cloned/use/stable-diffusion/automatic-webui/ldm_patched/modules/samplers.py", line 289, in sampling_function
cond_pred, uncond_pred = calc_cond_uncond_batch(model, cond, uncond_, x, timestep, model_options)
File "/home/adriaan/Code/cloned/use/stable-diffusion/automatic-webui/ldm_patched/modules/samplers.py", line 256, in calc_cond_uncond_batch
output = model_options['model_function_wrapper'](model.apply_model, {"input": input_x, "timestep": timestep_, "c": c, "cond_or_uncond": cond_or_uncond}).chunk(batch_chunks)
File "/home/adriaan/Code/cloned/use/stable-diffusion/automatic-webui/extensions/sd-webui-animatediff/scripts/animatediff_infv2v.py", line 146, in mm_sd_forward
out = apply_model(info["input"][_context], info["timestep"][_context], **info_c)
File "/home/adriaan/Code/cloned/use/stable-diffusion/automatic-webui/ldm_patched/modules/model_base.py", line 90, in apply_model
model_output = self.diffusion_model(xc, t, context=context, control=control, transformer_options=transformer_options, **extra_conds).float()
File "/home/adriaan/Code/cloned/use/stable-diffusion/automatic-webui/venv/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1518, in _wrapped_call_impl
return self._call_impl(*args, **kwargs)
File "/home/adriaan/Code/cloned/use/stable-diffusion/automatic-webui/venv/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1527, in _call_impl
return forward_call(*args, **kwargs)
File "/home/adriaan/Code/cloned/use/stable-diffusion/automatic-webui/ldm_patched/ldm/modules/diffusionmodules/openaimodel.py", line 867, 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 "/home/adriaan/Code/cloned/use/stable-diffusion/automatic-webui/ldm_patched/ldm/modules/diffusionmodules/openaimodel.py", line 55, in forward_timestep_embed
x = layer(x, context, transformer_options)
File "/home/adriaan/Code/cloned/use/stable-diffusion/automatic-webui/venv/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1518, in _wrapped_call_impl
return self._call_impl(*args, **kwargs)
File "/home/adriaan/Code/cloned/use/stable-diffusion/automatic-webui/venv/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1527, in _call_impl
return forward_call(*args, **kwargs)
File "/home/adriaan/Code/cloned/use/stable-diffusion/automatic-webui/ldm_patched/ldm/modules/attention.py", line 620, in forward
x = block(x, context=context[i], transformer_options=transformer_options)
File "/home/adriaan/Code/cloned/use/stable-diffusion/automatic-webui/venv/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1518, in _wrapped_call_impl
return self._call_impl(*args, **kwargs)
File "/home/adriaan/Code/cloned/use/stable-diffusion/automatic-webui/venv/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1527, in _call_impl
return forward_call(*args, **kwargs)
File "/home/adriaan/Code/cloned/use/stable-diffusion/automatic-webui/ldm_patched/ldm/modules/attention.py", line 447, in forward
return checkpoint(self._forward, (x, context, transformer_options), self.parameters(), self.checkpoint)
File "/home/adriaan/Code/cloned/use/stable-diffusion/automatic-webui/ldm_patched/ldm/modules/diffusionmodules/util.py", line 194, in checkpoint
return func(*inputs)
File "/home/adriaan/Code/cloned/use/stable-diffusion/automatic-webui/ldm_patched/ldm/modules/attention.py", line 504, in _forward
n = attn1_replace_patch[block_attn1](n, context_attn1, value_attn1, extra_options)
File "/home/adriaan/Code/cloned/use/stable-diffusion/automatic-webui/extensions-builtin/forge_preprocessor_reference/scripts/forge_reference.py", line 162, in attn1_proc
q_uc = q[uncond_indices]
RuntimeError: CUDA error: device-side assert triggered
Compile with `TORCH_USE_CUDA_DSA` to enable device-side assertions.
CUDA error: device-side assert triggered
Compile with `TORCH_USE_CUDA_DSA` to enable device-side assertions.
*** Error completing request
*** Arguments: ('task(s31x4wb87znc95b)', <gradio.routes.Request object at 0x7f52d28f4fa0>, 'anime, video, limes roll across a yellow table, stock video, high quality, anime screencap,', 'worst quality, nsfw', [], 10, 'DPM++ 2M SDE Karras', 1, 1, 7, 512, 768, False, 0.7, 2, 'Latent', 0, 0, 0, 'Use same checkpoint', 'Use same sampler', '', '', [], 0, False, '', 0.8, 3118709062, False, -1, 0, 0, 0, <scripts.animatediff_ui.AnimateDiffProcess object at 0x7f52d2ce40a0>, False, 0, 1, 0, 'Version 2', 1.2, 0.9, 0, 0.5, 0, 1, 1.4, 0.2, 0, 0.5, 0, 1, 1, 1, 0, 0.5, 0, 1, False, 'safe/SD15/anime/mistoonAnime_v20.safetensors [c35e1054c0]', 'None', 3, '', {'save_settings': ['fp16', 'prune', 'safetensors'], 'calc_settings': ['GPU', 'fastrebasin']}, True, False, False, 'None', 'None', 'None', 'Sum', 'Sum', 'Sum', 0.5, 0.5, 0.5, True, True, True, [], [], [], [], [], [], '0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5', '0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5', '0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5', False, False, False, '', '', '', 'Normal', 'Normal', 'Normal', ControlNetUnit(input_mode=<InputMode.BATCH: 'batch'>, use_preview_as_input=False, batch_image_dir='/home/adriaan/Code/cloned/use/stable-diffusion/automatic-webui/tmp/animatediff-frames/pixelscup-36cf61e6', batch_mask_dir='', batch_input_gallery=[], batch_mask_gallery=[], generated_image=None, mask_image=None, hr_option='Both', enabled=True, module='reference_adain+attn', model='None', weight=1, image=None, resize_mode='Crop and Resize', processor_res=0.5, threshold_a=0.5, threshold_b=0.5, guidance_start=0, guidance_end=1, pixel_perfect=False, control_mode='Balanced', save_detected_map=True), ControlNetUnit(input_mode=<InputMode.SIMPLE: 'simple'>, use_preview_as_input=False, batch_image_dir='', batch_mask_dir='', batch_input_gallery=[], batch_mask_gallery=[], generated_image=None, mask_image=None, hr_option='Both', 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', save_detected_map=True), ControlNetUnit(input_mode=<InputMode.SIMPLE: 'simple'>, use_preview_as_input=False, batch_image_dir='', batch_mask_dir='', batch_input_gallery=[], batch_mask_gallery=[], generated_image=None, mask_image=None, hr_option='Both', 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', save_detected_map=True), False, 7, 1, 'Constant', 0, 'Constant', 0, 1, 'enable', 'MEAN', 'AD', 1, False, 1.01, 1.02, 0.99, 0.95, False, 0.5, 2, False, 256, 2, 0, False, False, 3, 2, 0, 0.35, True, 'bicubic', 'bicubic', False, 0, 'anisotropic', 0, 'reinhard', 100, 0, 'subtract', 0, 0, 'gaussian', 'add', 0, 100, 127, 0, 'hard_clamp', 5, 0, 'None', 'None', False, 'MultiDiffusion', 768, 768, 64, 4, False, False, False, False, False, 'positive', 'comma', 0, False, False, 'start', '', 1, '', [], 0, '', [], 0, '', [], True, False, False, False, False, False, False, 0, False) {}
Traceback (most recent call last):
File "/home/adriaan/Code/cloned/use/stable-diffusion/automatic-webui/modules/call_queue.py", line 57, in f
res = list(func(*args, **kwargs))
File "/home/adriaan/Code/cloned/use/stable-diffusion/automatic-webui/modules/call_queue.py", line 41, in f
shared.state.end()
File "/home/adriaan/Code/cloned/use/stable-diffusion/automatic-webui/modules/shared_state.py", line 137, in end
devices.torch_gc()
File "/home/adriaan/Code/cloned/use/stable-diffusion/automatic-webui/modules/devices.py", line 39, in torch_gc
model_management.soft_empty_cache()
File "/home/adriaan/Code/cloned/use/stable-diffusion/automatic-webui/ldm_patched/modules/model_management.py", line 832, in soft_empty_cache
torch.cuda.empty_cache()
File "/home/adriaan/Code/cloned/use/stable-diffusion/automatic-webui/venv/lib/python3.10/site-packages/torch/cuda/memory.py", line 159, in empty_cache
torch._C._cuda_emptyCache()
RuntimeError: CUDA error: device-side assert triggered
Compile with `TORCH_USE_CUDA_DSA` to enable device-side assertions.
---
Traceback (most recent call last):
File "/home/adriaan/Code/cloned/use/stable-diffusion/automatic-webui/venv/lib/python3.10/site-packages/gradio/routes.py", line 488, in run_predict
output = await app.get_blocks().process_api(
File "/home/adriaan/Code/cloned/use/stable-diffusion/automatic-webui/venv/lib/python3.10/site-packages/gradio/blocks.py", line 1431, in process_api
result = await self.call_function(
File "/home/adriaan/Code/cloned/use/stable-diffusion/automatic-webui/venv/lib/python3.10/site-packages/gradio/blocks.py", line 1103, in call_function
prediction = await anyio.to_thread.run_sync(
File "/home/adriaan/Code/cloned/use/stable-diffusion/automatic-webui/venv/lib/python3.10/site-packages/anyio/to_thread.py", line 33, in run_sync
return await get_asynclib().run_sync_in_worker_thread(
File "/home/adriaan/Code/cloned/use/stable-diffusion/automatic-webui/venv/lib/python3.10/site-packages/anyio/_backends/_asyncio.py", line 877, in run_sync_in_worker_thread
return await future
File "/home/adriaan/Code/cloned/use/stable-diffusion/automatic-webui/venv/lib/python3.10/site-packages/anyio/_backends/_asyncio.py", line 807, in run
result = context.run(func, *args)
File "/home/adriaan/Code/cloned/use/stable-diffusion/automatic-webui/venv/lib/python3.10/site-packages/gradio/utils.py", line 707, in wrapper
response = f(*args, **kwargs)
File "/home/adriaan/Code/cloned/use/stable-diffusion/automatic-webui/modules/call_queue.py", line 77, in f
devices.torch_gc()
File "/home/adriaan/Code/cloned/use/stable-diffusion/automatic-webui/modules/devices.py", line 39, in torch_gc
model_management.soft_empty_cache()
File "/home/adriaan/Code/cloned/use/stable-diffusion/automatic-webui/ldm_patched/modules/model_management.py", line 832, in soft_empty_cache
torch.cuda.empty_cache()
File "/home/adriaan/Code/cloned/use/stable-diffusion/automatic-webui/venv/lib/python3.10/site-packages/torch/cuda/memory.py", line 159, in empty_cache
torch._C._cuda_emptyCache()
RuntimeError: CUDA error: device-side assert triggered
Compile with `TORCH_USE_CUDA_DSA` to enable device-side assertions.
Exception in thread MemMon:
Traceback (most recent call last):
File "/home/adriaan/.pyenv/versions/3.10.6/lib/python3.10/threading.py", line 1016, in _bootstrap_inner
self.run()
File "/home/adriaan/Code/cloned/use/stable-diffusion/automatic-webui/modules/memmon.py", line 53, in run
free, total = self.cuda_mem_get_info()
File "/home/adriaan/Code/cloned/use/stable-diffusion/automatic-webui/modules/memmon.py", line 34, in cuda_mem_get_info
return torch.cuda.mem_get_info(index)
File "/home/adriaan/Code/cloned/use/stable-diffusion/automatic-webui/venv/lib/python3.10/site-packages/torch/cuda/memory.py", line 663, in mem_get_info
return torch.cuda.cudart().cudaMemGetInfo(device)
RuntimeError: CUDA error: device-side assert triggered
Compile with `TORCH_USE_CUDA_DSA` to enable device-side assertions.
@lemontheme I’ve not had a chance to take a look at “reference only” for forge because I don’t have any bandwidth recently, so it’s normal and it’s not your fault if it is not working properly. I’ve tested OG A1111 with reference. Both single image and batch should work properly. Forge may take some extra time when I get some availability.
There is no way for me to reproduce OP’s error though.
@continue-revolution No worries, totally understandable. Good to know that it's supported in OG A1111. Let me know if I can help to debug/reproduce the error!
@continue-revolution No worries, totally understandable. Good to know that it's supported in OG A1111. Let me know if I can help to debug/reproduce the error!
I get this same error when the prompt is too big, also negative prompt too if it's too big I get this exact same thing. must keep it under 75 words, anything more it does this.
see pinged issue
Is there an existing issue for this?
Have you read FAQ on README?
What happened?
Steps to reproduce the problem
What should have happened?
Normal picture output
Commit where the problem happens
version: v1.8.0 sd-webui-animatediff: v2.0.2-f
What browsers do you use to access the UI ?
No response
Command Line Arguments
Console logs
Additional information
not install adetailer