stable-diffusion-webui-forge
stable-diffusion-webui-forge copied to clipboard
Published
20 hours ago •
lllyasviel
lllyasviel
[Bug]:
trafficstars
Checklist
- [X] The issue exists after disabling all extensions
- [X] The issue exists on a clean installation of webui
- [ ] 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?
RuntimeError: Expected all tensors to be on the same device, but found at least two devices, cpu and cuda:0! (when checking argument for argument index in method wrapper_CUDA__index_select)
Steps to reproduce the problem
Installed Forge WebUI, generate first image then message appear
What should have happened?
Should chose the correct GPU
What browsers do you use to access the UI ?
Microsoft Edge
Sysinfo
Console logs
Python 3.10.6 (tags/v3.10.6:9c7b4bd, Aug 1 2022, 21:53:49) [MSC v.1932 64 bit (AMD64)]
Version: f0.0.7-latest-41-g6aee7a20
Commit hash: 6aee7a20329b4a0e10b87d841d680562bdde65c7
Launching Web UI with arguments:
Total VRAM 6144 MB, total RAM 32677 MB
Set vram state to: NORMAL_VRAM
Device: cuda:0 NVIDIA GeForce GTX 1660 SUPER : native
VAE dtype: torch.float32
Using pytorch cross attention
ControlNet preprocessor location: E:\Forge\webui_forge_cu121_torch21\webui\models\ControlNetPreprocessor
Loading weights [2d5af23726] from E:\Forge\webui_forge_cu121_torch21\webui\models\Stable-diffusion\realismEngineSDXL_v30VAE.safetensors
2024-02-06 14:59:02,793 - ControlNet - INFO - ControlNet UI callback registered.
Running on local URL: http://127.0.0.1:7860
To create a public link, set `share=True` in `launch()`.
Startup time: 42.2s (prepare environment: 11.1s, import torch: 13.3s, import gradio: 4.5s, setup paths: 4.7s, initialize shared: 0.5s, other imports: 3.2s, load scripts: 2.9s, create ui: 0.6s, gradio launch: 1.7s).
model_type EPS
UNet ADM Dimension 2816
Using pytorch attention in VAE
Working with z of shape (1, 4, 32, 32) = 4096 dimensions.
Using pytorch attention in VAE
extra {'cond_stage_model.clip_g.transformer.text_model.embeddings.position_ids', 'cond_stage_model.clip_l.logit_scale', 'cond_stage_model.clip_l.text_projection'}
Couldn't find VAE named None; using None instead
To load target model SDXLClipModel
Begin to load 1 model
loading stable diffusion model: RuntimeError
Traceback (most recent call last):
File "threading.py", line 973, in _bootstrap
File "threading.py", line 1016, in _bootstrap_inner
File "threading.py", line 953, in run
File "E:\Forge\webui_forge_cu121_torch21\webui\modules\initialize.py", line 162, in load_model
shared.sd_model # noqa: B018
File "E:\Forge\webui_forge_cu121_torch21\webui\modules\shared_items.py", line 133, in sd_model
return modules.sd_models.model_data.get_sd_model()
File "E:\Forge\webui_forge_cu121_torch21\webui\modules\sd_models.py", line 509, in get_sd_model
load_model()
File "E:\Forge\webui_forge_cu121_torch21\webui\modules\sd_models.py", line 614, in load_model
sd_model.cond_stage_model_empty_prompt = get_empty_cond(sd_model)
File "E:\Forge\webui_forge_cu121_torch21\webui\modules\sd_models.py", line 536, in get_empty_cond
d = sd_model.get_learned_conditioning([""])
File "E:\Forge\webui_forge_cu121_torch21\webui\modules\sd_models_xl.py", line 36, in get_learned_conditioning
c = self.conditioner(sdxl_conds, force_zero_embeddings=['txt'] if force_zero_negative_prompt else [])
File "E:\Forge\webui_forge_cu121_torch21\system\python\lib\site-packages\torch\nn\modules\module.py", line 1518, in _wrapped_call_impl
return self._call_impl(*args, **kwargs)
File "E:\Forge\webui_forge_cu121_torch21\system\python\lib\site-packages\torch\nn\modules\module.py", line 1527, in _call_impl
return forward_call(*args, **kwargs)
File "E:\Forge\webui_forge_cu121_torch21\webui\repositories\generative-models\sgm\modules\encoders\modules.py", line 141, in forward
emb_out = embedder(batch[embedder.input_key])
File "E:\Forge\webui_forge_cu121_torch21\system\python\lib\site-packages\torch\nn\modules\module.py", line 1518, in _wrapped_call_impl
return self._call_impl(*args, **kwargs)
File "E:\Forge\webui_forge_cu121_torch21\system\python\lib\site-packages\torch\nn\modules\module.py", line 1527, in _call_impl
return forward_call(*args, **kwargs)
File "E:\Forge\webui_forge_cu121_torch21\webui\modules\sd_hijack_clip.py", line 234, in forward
z = self.process_tokens(tokens, multipliers)
File "E:\Forge\webui_forge_cu121_torch21\webui\modules\sd_hijack_clip.py", line 273, in process_tokens
z = self.encode_with_transformers(tokens)
File "E:\Forge\webui_forge_cu121_torch21\webui\modules_forge\forge_clip.py", line 50, in encode_with_transformers
outputs = self.wrapped.transformer(tokens, output_hidden_states=self.wrapped.layer == "hidden")
File "E:\Forge\webui_forge_cu121_torch21\system\python\lib\site-packages\torch\nn\modules\module.py", line 1518, in _wrapped_call_impl
return self._call_impl(*args, **kwargs)
File "E:\Forge\webui_forge_cu121_torch21\system\python\lib\site-packages\torch\nn\modules\module.py", line 1527, in _call_impl
return forward_call(*args, **kwargs)
File "E:\Forge\webui_forge_cu121_torch21\system\python\lib\site-packages\transformers\models\clip\modeling_clip.py", line 822, in forward
return self.text_model(
File "E:\Forge\webui_forge_cu121_torch21\system\python\lib\site-packages\torch\nn\modules\module.py", line 1518, in _wrapped_call_impl
return self._call_impl(*args, **kwargs)
File "E:\Forge\webui_forge_cu121_torch21\system\python\lib\site-packages\torch\nn\modules\module.py", line 1527, in _call_impl
return forward_call(*args, **kwargs)
File "E:\Forge\webui_forge_cu121_torch21\system\python\lib\site-packages\transformers\models\clip\modeling_clip.py", line 730, in forward
hidden_states = self.embeddings(input_ids=input_ids, position_ids=position_ids)
File "E:\Forge\webui_forge_cu121_torch21\system\python\lib\site-packages\torch\nn\modules\module.py", line 1518, in _wrapped_call_impl
return self._call_impl(*args, **kwargs)
File "E:\Forge\webui_forge_cu121_torch21\system\python\lib\site-packages\torch\nn\modules\module.py", line 1527, in _call_impl
return forward_call(*args, **kwargs)
File "E:\Forge\webui_forge_cu121_torch21\system\python\lib\site-packages\transformers\models\clip\modeling_clip.py", line 227, in forward
inputs_embeds = self.token_embedding(input_ids)
File "E:\Forge\webui_forge_cu121_torch21\system\python\lib\site-packages\torch\nn\modules\module.py", line 1518, in _wrapped_call_impl
return self._call_impl(*args, **kwargs)
File "E:\Forge\webui_forge_cu121_torch21\system\python\lib\site-packages\torch\nn\modules\module.py", line 1527, in _call_impl
return forward_call(*args, **kwargs)
File "E:\Forge\webui_forge_cu121_torch21\webui\modules\sd_hijack.py", line 177, in forward
inputs_embeds = self.wrapped(input_ids)
File "E:\Forge\webui_forge_cu121_torch21\system\python\lib\site-packages\torch\nn\modules\module.py", line 1518, in _wrapped_call_impl
return self._call_impl(*args, **kwargs)
File "E:\Forge\webui_forge_cu121_torch21\system\python\lib\site-packages\torch\nn\modules\module.py", line 1527, in _call_impl
return forward_call(*args, **kwargs)
File "E:\Forge\webui_forge_cu121_torch21\system\python\lib\site-packages\torch\nn\modules\sparse.py", line 162, in forward
return F.embedding(
File "E:\Forge\webui_forge_cu121_torch21\system\python\lib\site-packages\torch\nn\functional.py", line 2233, in embedding
return torch.embedding(weight, input, padding_idx, scale_grad_by_freq, sparse)
RuntimeError: Expected all tensors to be on the same device, but found at least two devices, cpu and cuda:0! (when checking argument for argument index in method wrapper_CUDA__index_select)
Stable diffusion model failed to load
Loading weights [2d5af23726] from E:\Forge\webui_forge_cu121_torch21\webui\models\Stable-diffusion\realismEngineSDXL_v30VAE.safetensors
model_type EPS
UNet ADM Dimension 2816
Using pytorch attention in VAE
Working with z of shape (1, 4, 32, 32) = 4096 dimensions.
Using pytorch attention in VAE
extra {'cond_stage_model.clip_g.transformer.text_model.embeddings.position_ids', 'cond_stage_model.clip_l.logit_scale', 'cond_stage_model.clip_l.text_projection'}
Couldn't find VAE named None; using None instead
To load target model SDXLClipModel
Begin to load 1 model
Token merging is under construction now and the setting will not take effect.
*** Error completing request
*** Arguments: ('task(v1jhe6y27xuw8dt)', <gradio.routes.Request object at 0x000002357B55D330>, 'amateur cellphone photography cute woman with blonde hair at mardi gras, sunset, (freckles:0.2) . f8.0, samsung galaxy, noise, jpeg artefacts, poor lighting, low light, underexposed, high contrast', '(watermark:1.2), (text:1.2), (logo:1.2), (3d render:1.2), drawing, painting, crayon', [], 25, 'DPM++ 2M Karras', 1, 1, 4, 512, 512, False, 0.7, 2, 'Latent', 0, 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, 'positive', 'comma', 0, False, False, 'start', '', 1, '', [], 0, '', [], 0, '', [], True, False, False, False, False, False, False, 0, False) {}
Traceback (most recent call last):
File "E:\Forge\webui_forge_cu121_torch21\webui\modules\call_queue.py", line 57, in f
res = list(func(*args, **kwargs))
File "E:\Forge\webui_forge_cu121_torch21\webui\modules\call_queue.py", line 36, in f
res = func(*args, **kwargs)
File "E:\Forge\webui_forge_cu121_torch21\webui\modules\txt2img.py", line 110, in txt2img
processed = processing.process_images(p)
File "E:\Forge\webui_forge_cu121_torch21\webui\modules\processing.py", line 736, in process_images
sd_models.reload_model_weights()
File "E:\Forge\webui_forge_cu121_torch21\webui\modules\sd_models.py", line 628, in reload_model_weights
return load_model(info)
File "E:\Forge\webui_forge_cu121_torch21\webui\modules\sd_models.py", line 614, in load_model
sd_model.cond_stage_model_empty_prompt = get_empty_cond(sd_model)
File "E:\Forge\webui_forge_cu121_torch21\webui\modules\sd_models.py", line 536, in get_empty_cond
d = sd_model.get_learned_conditioning([""])
File "E:\Forge\webui_forge_cu121_torch21\webui\modules\sd_models_xl.py", line 36, in get_learned_conditioning
c = self.conditioner(sdxl_conds, force_zero_embeddings=['txt'] if force_zero_negative_prompt else [])
File "E:\Forge\webui_forge_cu121_torch21\system\python\lib\site-packages\torch\nn\modules\module.py", line 1518, in _wrapped_call_impl
return self._call_impl(*args, **kwargs)
File "E:\Forge\webui_forge_cu121_torch21\system\python\lib\site-packages\torch\nn\modules\module.py", line 1527, in _call_impl
return forward_call(*args, **kwargs)
File "E:\Forge\webui_forge_cu121_torch21\webui\repositories\generative-models\sgm\modules\encoders\modules.py", line 141, in forward
emb_out = embedder(batch[embedder.input_key])
File "E:\Forge\webui_forge_cu121_torch21\system\python\lib\site-packages\torch\nn\modules\module.py", line 1518, in _wrapped_call_impl
return self._call_impl(*args, **kwargs)
File "E:\Forge\webui_forge_cu121_torch21\system\python\lib\site-packages\torch\nn\modules\module.py", line 1527, in _call_impl
return forward_call(*args, **kwargs)
File "E:\Forge\webui_forge_cu121_torch21\webui\modules\sd_hijack_clip.py", line 234, in forward
z = self.process_tokens(tokens, multipliers)
File "E:\Forge\webui_forge_cu121_torch21\webui\modules\sd_hijack_clip.py", line 273, in process_tokens
z = self.encode_with_transformers(tokens)
File "E:\Forge\webui_forge_cu121_torch21\webui\modules_forge\forge_clip.py", line 50, in encode_with_transformers
outputs = self.wrapped.transformer(tokens, output_hidden_states=self.wrapped.layer == "hidden")
File "E:\Forge\webui_forge_cu121_torch21\system\python\lib\site-packages\torch\nn\modules\module.py", line 1518, in _wrapped_call_impl
return self._call_impl(*args, **kwargs)
File "E:\Forge\webui_forge_cu121_torch21\system\python\lib\site-packages\torch\nn\modules\module.py", line 1527, in _call_impl
return forward_call(*args, **kwargs)
File "E:\Forge\webui_forge_cu121_torch21\system\python\lib\site-packages\transformers\models\clip\modeling_clip.py", line 822, in forward
return self.text_model(
File "E:\Forge\webui_forge_cu121_torch21\system\python\lib\site-packages\torch\nn\modules\module.py", line 1518, in _wrapped_call_impl
return self._call_impl(*args, **kwargs)
File "E:\Forge\webui_forge_cu121_torch21\system\python\lib\site-packages\torch\nn\modules\module.py", line 1527, in _call_impl
return forward_call(*args, **kwargs)
File "E:\Forge\webui_forge_cu121_torch21\system\python\lib\site-packages\transformers\models\clip\modeling_clip.py", line 730, in forward
hidden_states = self.embeddings(input_ids=input_ids, position_ids=position_ids)
File "E:\Forge\webui_forge_cu121_torch21\system\python\lib\site-packages\torch\nn\modules\module.py", line 1518, in _wrapped_call_impl
return self._call_impl(*args, **kwargs)
File "E:\Forge\webui_forge_cu121_torch21\system\python\lib\site-packages\torch\nn\modules\module.py", line 1527, in _call_impl
return forward_call(*args, **kwargs)
File "E:\Forge\webui_forge_cu121_torch21\system\python\lib\site-packages\transformers\models\clip\modeling_clip.py", line 227, in forward
inputs_embeds = self.token_embedding(input_ids)
File "E:\Forge\webui_forge_cu121_torch21\system\python\lib\site-packages\torch\nn\modules\module.py", line 1518, in _wrapped_call_impl
return self._call_impl(*args, **kwargs)
File "E:\Forge\webui_forge_cu121_torch21\system\python\lib\site-packages\torch\nn\modules\module.py", line 1527, in _call_impl
return forward_call(*args, **kwargs)
File "E:\Forge\webui_forge_cu121_torch21\webui\modules\sd_hijack.py", line 177, in forward
inputs_embeds = self.wrapped(input_ids)
File "E:\Forge\webui_forge_cu121_torch21\system\python\lib\site-packages\torch\nn\modules\module.py", line 1518, in _wrapped_call_impl
return self._call_impl(*args, **kwargs)
File "E:\Forge\webui_forge_cu121_torch21\system\python\lib\site-packages\torch\nn\modules\module.py", line 1527, in _call_impl
return forward_call(*args, **kwargs)
File "E:\Forge\webui_forge_cu121_torch21\system\python\lib\site-packages\torch\nn\modules\sparse.py", line 162, in forward
return F.embedding(
File "E:\Forge\webui_forge_cu121_torch21\system\python\lib\site-packages\torch\nn\functional.py", line 2233, in embedding
return torch.embedding(weight, input, padding_idx, scale_grad_by_freq, sparse)
RuntimeError: Expected all tensors to be on the same device, but found at least two devices, cpu and cuda:0! (when checking argument for argument index in method wrapper_CUDA__index_select)
---
Additional information
1660 Super/32Gb Ram/Ryzen 7
please do not use --always-gpu I attempted a fix at https://github.com/lllyasviel/stable-diffusion-webui-forge/commit/9c31b0ddcba42afcbda310b46750decd33b6ea2e please try again and see if it is working
@adnanT11 do not close too soon. I added another better fix and please test again
thanks in advance!
tested again after updating and its giving the same error from before RuntimeError: Expected all tensors to be on the same device, but found at least two devices, cuda:0 and cpu!
@adnanT11 do not close too soon. I added another better fix and please test again
thanks in advance!
I used update.bat and restarted but the issue remains. Do I need to download the code one more time ? Thanks
It fixed for me but enabling animatediff (https://github.com/continue-revolution/sd-forge-animatediff), problem still persist
Traceback (most recent call last):
File "C:\AI\A1111\webui\modules\call_queue.py", line 57, in f
res = list(func(*args, **kwargs))
File "C:\AI\A1111\webui\modules\call_queue.py", line 36, in f
res = func(*args, **kwargs)
File "C:\AI\A1111\webui\modules\txt2img.py", line 110, in txt2img
processed = processing.process_images(p)
File "C:\AI\A1111\webui\modules\processing.py", line 749, in process_images
res = process_images_inner(p)
File "C:\AI\A1111\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 "C:\AI\A1111\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 "C:\AI\A1111\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 "C:\AI\A1111\webui\modules\sd_samplers_common.py", line 260, in launch_sampling
return func()
File "C:\AI\A1111\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 "C:\AI\A1111\system\python\lib\site-packages\torch\utils\_contextlib.py", line 115, in decorate_context
return func(*args, **kwargs)
File "C:\AI\A1111\webui\repositories\k-diffusion\k_diffusion\sampling.py", line 594, in sample_dpmpp_2m
denoised = model(x, sigmas[i] * s_in, **extra_args)
File "C:\AI\A1111\system\python\lib\site-packages\torch\nn\modules\module.py", line 1518, in _wrapped_call_impl
return self._call_impl(*args, **kwargs)
File "C:\AI\A1111\system\python\lib\site-packages\torch\nn\modules\module.py", line 1527, in _call_impl
return forward_call(*args, **kwargs)
File "C:\AI\A1111\webui\modules\sd_samplers_cfg_denoiser.py", line 179, in forward
denoised = forge_sampler.forge_sample(self, denoiser_params=denoiser_params,
File "C:\AI\A1111\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 "C:\AI\A1111\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 "C:\AI\A1111\webui\ldm_patched\modules\samplers.py", line 251, 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 "C:\AI\A1111\webui\extensions\sd-forge-animatediff\scripts\animatediff_infv2v.py", line 132, in mm_sd_forward out = apply_model(
File "C:\AI\A1111\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 "C:\AI\A1111\system\python\lib\site-packages\torch\nn\modules\module.py", line 1518, in _wrapped_call_impl
return self._call_impl(*args, **kwargs)
File "C:\AI\A1111\system\python\lib\site-packages\torch\nn\modules\module.py", line 1527, in _call_impl
return forward_call(*args, **kwargs)
File "C:\AI\A1111\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 "C:\AI\A1111\webui\ldm_patched\ldm\modules\diffusionmodules\openaimodel.py", line 57, in forward_timestep_embed
x = modifier(x, 'after', layer, layer_index, ts, transformer_options)
File "C:\AI\A1111\webui\extensions\sd-forge-animatediff\scripts\animatediff_mm.py", line 82, in mm_block_modifier
return self.mm.down_blocks[mm_idx0].motion_modules[mm_idx1](x)
File "C:\AI\A1111\system\python\lib\site-packages\torch\nn\modules\module.py", line 1518, in _wrapped_call_impl
return self._call_impl(*args, **kwargs)
File "C:\AI\A1111\system\python\lib\site-packages\torch\nn\modules\module.py", line 1527, in _call_impl
return forward_call(*args, **kwargs)
File "C:\AI\A1111\webui\extensions\sd-forge-animatediff\motion_module.py", line 127, in forward
return self.temporal_transformer(x)
File "C:\AI\A1111\system\python\lib\site-packages\torch\nn\modules\module.py", line 1518, in _wrapped_call_impl
return self._call_impl(*args, **kwargs)
File "C:\AI\A1111\system\python\lib\site-packages\torch\nn\modules\module.py", line 1527, in _call_impl
return forward_call(*args, **kwargs)
File "C:\AI\A1111\webui\extensions\sd-forge-animatediff\motion_module.py", line 185, in forward
hidden_states = block(hidden_states)
File "C:\AI\A1111\system\python\lib\site-packages\torch\nn\modules\module.py", line 1518, in _wrapped_call_impl
return self._call_impl(*args, **kwargs)
File "C:\AI\A1111\system\python\lib\site-packages\torch\nn\modules\module.py", line 1527, in _call_impl
return forward_call(*args, **kwargs)
File "C:\AI\A1111\webui\extensions\sd-forge-animatediff\motion_module.py", line 239, in forward
hidden_states = attention_block(norm_hidden_states) + hidden_states
File "C:\AI\A1111\system\python\lib\site-packages\torch\nn\modules\module.py", line 1518, in _wrapped_call_impl
return self._call_impl(*args, **kwargs)
File "C:\AI\A1111\system\python\lib\site-packages\torch\nn\modules\module.py", line 1527, in _call_impl
return forward_call(*args, **kwargs)
File "C:\AI\A1111\webui\extensions\sd-forge-animatediff\motion_module.py", line 329, in forward
x = self.pos_encoder(x)
File "C:\AI\A1111\system\python\lib\site-packages\torch\nn\modules\module.py", line 1518, in _wrapped_call_impl
return self._call_impl(*args, **kwargs)
File "C:\AI\A1111\system\python\lib\site-packages\torch\nn\modules\module.py", line 1527, in _call_impl
return forward_call(*args, **kwargs)
File "C:\AI\A1111\webui\extensions\sd-forge-animatediff\motion_module.py", line 264, in forward
x = x + self.pe[:, :x.size(1)]
RuntimeError: Expected all tensors to be on the same device, but found at least two devices, cuda:0 and cpu!
DPM++ 2M Karras is working fine, but when i try to use Euler A i get this same error
*** Error completing request | 0/30 [00:00<?, ?it/s]
*** Arguments: ('task(n6q4gm5cjrftp90)', <gradio.routes.Request object at 0x000001D76C8617E0>, '1girl,', 'lowres, bad hands, missing fingers, duplicate, bad anatomy, fused fingers, bad quality, worst quality, extra fingers, clone, cloned face, monochrome, ', [], 30, 'Euler a', 1, 1, 8.5, 1216, 832, False, 0.7, 2, 'Latent', 0, 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, 1.3, 1.4, 0.9, 0.2, False, 256, 2, 0, False, False, 3, 2, 0, 0.35, True, 'bicubic', 'bicubic', False, 0.5, 2, 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 "D:\webui_forge\webui\modules\call_queue.py", line 57, in f
res = list(func(*args, **kwargs))
File "D:\webui_forge\webui\modules\call_queue.py", line 36, in f
res = func(*args, **kwargs)
File "D:\webui_forge\webui\modules\txt2img.py", line 110, in txt2img
processed = processing.process_images(p)
File "D:\webui_forge\webui\modules\processing.py", line 749, in process_images
res = process_images_inner(p)
File "D:\webui_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:\webui_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:\webui_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:\webui_forge\webui\modules\sd_samplers_common.py", line 260, in launch_sampling
return func()
File "D:\webui_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:\webui_forge\system\python\lib\site-packages\torch\utils\_contextlib.py", line 115, in decorate_context
return func(*args, **kwargs)
File "D:\webui_forge\webui\repositories\k-diffusion\k_diffusion\sampling.py", line 149, in sample_euler_ancestral
d = to_d(x, sigmas[i], denoised)
File "D:\webui_forge\webui\repositories\k-diffusion\k_diffusion\sampling.py", line 48, in to_d
return (x - denoised) / utils.append_dims(sigma, x.ndim)
RuntimeError: Expected all tensors to be on the same device, but found at least two devices, cuda:0 and cpu!
DPM++ 2M Karras is working fine, but when i try to use Euler A i get this same error
*** Error completing request | 0/30 [00:00<?, ?it/s] *** Arguments: ('task(n6q4gm5cjrftp90)', <gradio.routes.Request object at 0x000001D76C8617E0>, '1girl,', 'lowres, bad hands, missing fingers, duplicate, bad anatomy, fused fingers, bad quality, worst quality, extra fingers, clone, cloned face, monochrome, ', [], 30, 'Euler a', 1, 1, 8.5, 1216, 832, False, 0.7, 2, 'Latent', 0, 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, 1.3, 1.4, 0.9, 0.2, False, 256, 2, 0, False, False, 3, 2, 0, 0.35, True, 'bicubic', 'bicubic', False, 0.5, 2, 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 "D:\webui_forge\webui\modules\call_queue.py", line 57, in f res = list(func(*args, **kwargs)) File "D:\webui_forge\webui\modules\call_queue.py", line 36, in f res = func(*args, **kwargs) File "D:\webui_forge\webui\modules\txt2img.py", line 110, in txt2img processed = processing.process_images(p) File "D:\webui_forge\webui\modules\processing.py", line 749, in process_images res = process_images_inner(p) File "D:\webui_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:\webui_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:\webui_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:\webui_forge\webui\modules\sd_samplers_common.py", line 260, in launch_sampling return func() File "D:\webui_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:\webui_forge\system\python\lib\site-packages\torch\utils\_contextlib.py", line 115, in decorate_context return func(*args, **kwargs) File "D:\webui_forge\webui\repositories\k-diffusion\k_diffusion\sampling.py", line 149, in sample_euler_ancestral d = to_d(x, sigmas[i], denoised) File "D:\webui_forge\webui\repositories\k-diffusion\k_diffusion\sampling.py", line 48, in to_d return (x - denoised) / utils.append_dims(sigma, x.ndim) RuntimeError: Expected all tensors to be on the same device, but found at least two devices, cuda:0 and cpu!
I updated and it's fixed.