[Bug]: RuntimeError: Conv3D is not supported on MPS

[edmondyip]

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?

When I run SVD in forge, it stop and return RuntimeError: Conv3D is not supported on MPS I am using MacOS 14.3.1

Steps to reproduce the problem

1. open forge
2. go to SVD tab
3. select input image
4. select SVD checkpoint
5. click generate

What should have happened?

WebUI Should generate a video but it stopped and show error

What browsers do you use to access the UI ?

No response

Sysinfo

sysinfo-2024-03-12-09-43.json

Console logs

################################################################
Install script for stable-diffusion + Web UI
Tested on Debian 11 (Bullseye), Fedora 34+ and openSUSE Leap 15.4 or newer.
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Running on edmondyip user
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Repo already cloned, using it as install directory
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Create and activate python venv
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Launching launch.py...
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Python 3.10.6 (main, Oct 12 2023, 01:22:54) [Clang 15.0.0 (clang-1500.0.40.1)]
Version: f0.0.17v1.8.0rc-latest-276-g29be1da7c
Commit hash: 29be1da7cf2b5dccfc70fbdd33eb35c56a31ffb7
Legacy Preprocessor init warning: Unable to install insightface automatically. Please try run `pip install insightface` manually.
Launching Web UI with arguments: --all-in-fp16 --skip-torch-cuda-test --upcast-sampling --no-half-vae --use-cpu interrogate
Total VRAM 32768 MB, total RAM 32768 MB
Forcing FP16.
Set vram state to: SHARED
Device: mps
VAE dtype: torch.float32
CUDA Stream Activated:  False
Warning: caught exception 'Torch not compiled with CUDA enabled', memory monitor disabled
Using sub quadratic optimization for cross attention, if you have memory or speed issues try using: --attention-split
==============================================================================
You are running torch 2.1.0.
The program is tested to work with torch 2.1.2.
To reinstall the desired version, run with commandline flag --reinstall-torch.
Beware that this will cause a lot of large files to be downloaded, as well as
there are reports of issues with training tab on the latest version.

Use --skip-version-check commandline argument to disable this check.
==============================================================================
ControlNet preprocessor location: /Users/edmondyip/Documents/stable-diffusion/forge/stable-diffusion-webui-forge/models/ControlNetPreprocessor
[-] ADetailer initialized. version: 24.3.0, num models: 10
Loading weights [1449e5b0b9] from /Users/edmondyip/Documents/stable-diffusion/forge/stable-diffusion-webui-forge/models/Stable-diffusion/animagineXLV3_v30.safetensors
2024-03-12 09:03:06,100 - 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: 6.9s (prepare environment: 0.4s, import torch: 1.9s, import gradio: 0.7s, setup paths: 0.5s, other imports: 0.5s, load scripts: 1.9s, create ui: 0.5s, gradio launch: 0.4s).
model_type EPS
UNet ADM Dimension 2816
Using split attention in VAE
Working with z of shape (1, 4, 32, 32) = 4096 dimensions.
Using split attention in VAE
extra {'cond_stage_model.clip_g.transformer.text_model.embeddings.position_ids', 'cond_stage_model.clip_l.text_projection', 'cond_stage_model.clip_l.logit_scale'}
Loading VAE weights specified in settings: /Users/edmondyip/Documents/stable-diffusion/forge/stable-diffusion-webui-forge/models/VAE/sdxl_vae.safetensors
To load target model SDXLClipModel
Begin to load 1 model
Moving model(s) has taken 0.01 seconds
Model loaded in 8.1s (load weights from disk: 0.7s, forge load real models: 6.1s, load VAE: 0.3s, calculate empty prompt: 1.0s).
extra clip vision: ['vision_model.embeddings.position_ids']
model_type V_PREDICTION_EDM
UNet ADM Dimension 768
Using split attention in VAE
Working with z of shape (1, 4, 32, 32) = 4096 dimensions.
Using split attention in VAE
left over keys: dict_keys(['conditioner.embedders.0.open_clip.model.ln_final.bias', 'conditioner.embedders.0.open_clip.model.ln_final.weight', 'conditioner.embedders.0.open_clip.model.logit_scale', 'conditioner.embedders.0.open_clip.model.positional_embedding', 'conditioner.embedders.0.open_clip.model.text_projection', 'conditioner.embedders.0.open_clip.model.token_embedding.weight', 'conditioner.embedders.3.encoder.decoder.conv_in.bias', 'conditioner.embedders.3.encoder.decoder.conv_in.weight', 'conditioner.embedders.3.encoder.decoder.conv_out.bias', 'conditioner.embedders.3.encoder.decoder.conv_out.weight', 'conditioner.embedders.3.encoder.decoder.mid.attn_1.k.bias', 'conditioner.embedders.3.encoder.decoder.mid.attn_1.k.weight', 'conditioner.embedders.3.encoder.decoder.mid.attn_1.norm.bias', 'conditioner.embedders.3.encoder.decoder.mid.attn_1.norm.weight', 'conditioner.embedders.3.encoder.decoder.mid.attn_1.proj_out.bias', 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'conditioner.embedders.3.encoder.encoder.mid.block_2.conv2.bias', 'conditioner.embedders.3.encoder.encoder.mid.block_2.conv2.weight', 'conditioner.embedders.3.encoder.encoder.mid.block_2.norm1.bias', 'conditioner.embedders.3.encoder.encoder.mid.block_2.norm1.weight', 'conditioner.embedders.3.encoder.encoder.mid.block_2.norm2.bias', 'conditioner.embedders.3.encoder.encoder.mid.block_2.norm2.weight', 'conditioner.embedders.3.encoder.encoder.norm_out.bias', 'conditioner.embedders.3.encoder.encoder.norm_out.weight', 'conditioner.embedders.3.encoder.post_quant_conv.bias', 'conditioner.embedders.3.encoder.post_quant_conv.weight', 'conditioner.embedders.3.encoder.quant_conv.bias', 'conditioner.embedders.3.encoder.quant_conv.weight'])
To load target model CLIPVisionModelWithProjection
Begin to load 1 model
Moving model(s) has taken 0.00 seconds
To load target model AutoencodingEngine
Begin to load 1 model
Moving model(s) has taken 0.82 seconds
  0%|                                                                                                                           | 0/20 [00:00<?, ?it/s]To load target model SVD_img2vid
Begin to load 1 model
Moving model(s) has taken 1.38 seconds
  0%|                                                                                                                           | 0/20 [00:00<?, ?it/s]
Traceback (most recent call last):                                                                                              | 0/20 [00:00<?, ?it/s]
  File "/Users/edmondyip/Documents/stable-diffusion/forge/stable-diffusion-webui-forge/venv/lib/python3.10/site-packages/gradio/routes.py", line 488, in run_predict
    output = await app.get_blocks().process_api(
  File "/Users/edmondyip/Documents/stable-diffusion/forge/stable-diffusion-webui-forge/venv/lib/python3.10/site-packages/gradio/blocks.py", line 1431, in process_api
    result = await self.call_function(
  File "/Users/edmondyip/Documents/stable-diffusion/forge/stable-diffusion-webui-forge/venv/lib/python3.10/site-packages/gradio/blocks.py", line 1103, in call_function
    prediction = await anyio.to_thread.run_sync(
  File "/Users/edmondyip/Documents/stable-diffusion/forge/stable-diffusion-webui-forge/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 "/Users/edmondyip/Documents/stable-diffusion/forge/stable-diffusion-webui-forge/venv/lib/python3.10/site-packages/anyio/_backends/_asyncio.py", line 877, in run_sync_in_worker_thread
    return await future
  File "/Users/edmondyip/Documents/stable-diffusion/forge/stable-diffusion-webui-forge/venv/lib/python3.10/site-packages/anyio/_backends/_asyncio.py", line 807, in run
    result = context.run(func, *args)
  File "/Users/edmondyip/Documents/stable-diffusion/forge/stable-diffusion-webui-forge/venv/lib/python3.10/site-packages/gradio/utils.py", line 707, in wrapper
    response = f(*args, **kwargs)
  File "/Users/edmondyip/Documents/stable-diffusion/forge/stable-diffusion-webui-forge/venv/lib/python3.10/site-packages/torch/utils/_contextlib.py", line 115, in decorate_context
    return func(*args, **kwargs)
  File "/Users/edmondyip/Documents/stable-diffusion/forge/stable-diffusion-webui-forge/venv/lib/python3.10/site-packages/torch/utils/_contextlib.py", line 115, in decorate_context
    return func(*args, **kwargs)
  File "/Users/edmondyip/Documents/stable-diffusion/forge/stable-diffusion-webui-forge/extensions-builtin/sd_forge_svd/scripts/forge_svd.py", line 50, in predict
    output_latent = opKSampler.sample(model, sampling_seed, sampling_steps, sampling_cfg,
  File "/Users/edmondyip/Documents/stable-diffusion/forge/stable-diffusion-webui-forge/ldm_patched/contrib/external.py", line 1379, in sample
    return common_ksampler(model, seed, steps, cfg, sampler_name, scheduler, positive, negative, latent_image, denoise=denoise)
  File "/Users/edmondyip/Documents/stable-diffusion/forge/stable-diffusion-webui-forge/ldm_patched/contrib/external.py", line 1349, in common_ksampler
    samples = ldm_patched.modules.sample.sample(model, noise, steps, cfg, sampler_name, scheduler, positive, negative, latent_image,
  File "/Users/edmondyip/Documents/stable-diffusion/forge/stable-diffusion-webui-forge/ldm_patched/modules/sample.py", line 104, in sample
    samples = sampler.sample(noise, positive_copy, negative_copy, cfg=cfg, latent_image=latent_image, start_step=start_step, last_step=last_step, force_full_denoise=force_full_denoise, denoise_mask=noise_mask, sigmas=sigmas, callback=callback, disable_pbar=disable_pbar, seed=seed)
  File "/Users/edmondyip/Documents/stable-diffusion/forge/stable-diffusion-webui-forge/ldm_patched/modules/samplers.py", line 756, in sample
    return sample(self.model, noise, positive, negative, cfg, self.device, sampler, sigmas, self.model_options, latent_image=latent_image, denoise_mask=denoise_mask, callback=callback, disable_pbar=disable_pbar, seed=seed)
  File "/Users/edmondyip/Documents/stable-diffusion/forge/stable-diffusion-webui-forge/ldm_patched/modules/samplers.py", line 662, in sample
    samples = sampler.sample(model_wrap, sigmas, extra_args, callback, noise, latent_image, denoise_mask, disable_pbar)
  File "/Users/edmondyip/Documents/stable-diffusion/forge/stable-diffusion-webui-forge/ldm_patched/modules/samplers.py", line 601, in sample
    samples = self.sampler_function(model_k, noise, sigmas, extra_args=extra_args, callback=k_callback, disable=disable_pbar, **self.extra_options)
  File "/Users/edmondyip/Documents/stable-diffusion/forge/stable-diffusion-webui-forge/venv/lib/python3.10/site-packages/torch/utils/_contextlib.py", line 115, in decorate_context
    return func(*args, **kwargs)
  File "/Users/edmondyip/Documents/stable-diffusion/forge/stable-diffusion-webui-forge/ldm_patched/k_diffusion/sampling.py", line 141, in sample_euler
    denoised = model(x, sigma_hat * s_in, **extra_args)
  File "/Users/edmondyip/Documents/stable-diffusion/forge/stable-diffusion-webui-forge/venv/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1518, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File "/Users/edmondyip/Documents/stable-diffusion/forge/stable-diffusion-webui-forge/venv/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1527, in _call_impl
    return forward_call(*args, **kwargs)
  File "/Users/edmondyip/Documents/stable-diffusion/forge/stable-diffusion-webui-forge/ldm_patched/modules/samplers.py", line 325, in forward
    out = self.inner_model(x, sigma, cond=cond, uncond=uncond, cond_scale=cond_scale, model_options=model_options, seed=seed)
  File "/Users/edmondyip/Documents/stable-diffusion/forge/stable-diffusion-webui-forge/venv/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1518, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File "/Users/edmondyip/Documents/stable-diffusion/forge/stable-diffusion-webui-forge/venv/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1527, in _call_impl
    return forward_call(*args, **kwargs)
  File "/Users/edmondyip/Documents/stable-diffusion/forge/stable-diffusion-webui-forge/ldm_patched/modules/samplers.py", line 315, in forward
    return self.apply_model(*args, **kwargs)
  File "/Users/edmondyip/Documents/stable-diffusion/forge/stable-diffusion-webui-forge/ldm_patched/modules/samplers.py", line 312, in apply_model
    out = sampling_function(self.inner_model, x, timestep, uncond, cond, cond_scale, model_options=model_options, seed=seed)
  File "/Users/edmondyip/Documents/stable-diffusion/forge/stable-diffusion-webui-forge/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 "/Users/edmondyip/Documents/stable-diffusion/forge/stable-diffusion-webui-forge/ldm_patched/modules/samplers.py", line 258, in calc_cond_uncond_batch
    output = model.apply_model(input_x, timestep_, **c).chunk(batch_chunks)
  File "/Users/edmondyip/Documents/stable-diffusion/forge/stable-diffusion-webui-forge/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 "/Users/edmondyip/Documents/stable-diffusion/forge/stable-diffusion-webui-forge/venv/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1518, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File "/Users/edmondyip/Documents/stable-diffusion/forge/stable-diffusion-webui-forge/venv/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1527, in _call_impl
    return forward_call(*args, **kwargs)
  File "/Users/edmondyip/Documents/stable-diffusion/forge/stable-diffusion-webui-forge/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 "/Users/edmondyip/Documents/stable-diffusion/forge/stable-diffusion-webui-forge/ldm_patched/ldm/modules/diffusionmodules/openaimodel.py", line 47, in forward_timestep_embed
    x = layer(x, emb, num_video_frames, image_only_indicator)
  File "/Users/edmondyip/Documents/stable-diffusion/forge/stable-diffusion-webui-forge/venv/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1518, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File "/Users/edmondyip/Documents/stable-diffusion/forge/stable-diffusion-webui-forge/venv/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1527, in _call_impl
    return forward_call(*args, **kwargs)
  File "/Users/edmondyip/Documents/stable-diffusion/forge/stable-diffusion-webui-forge/ldm_patched/ldm/modules/diffusionmodules/openaimodel.py", line 352, in forward
    x = self.time_stack(
  File "/Users/edmondyip/Documents/stable-diffusion/forge/stable-diffusion-webui-forge/venv/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1518, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File "/Users/edmondyip/Documents/stable-diffusion/forge/stable-diffusion-webui-forge/venv/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1527, in _call_impl
    return forward_call(*args, **kwargs)
  File "/Users/edmondyip/Documents/stable-diffusion/forge/stable-diffusion-webui-forge/ldm_patched/ldm/modules/diffusionmodules/openaimodel.py", line 244, in forward
    return checkpoint(
  File "/Users/edmondyip/Documents/stable-diffusion/forge/stable-diffusion-webui-forge/ldm_patched/ldm/modules/diffusionmodules/util.py", line 194, in checkpoint
    return func(*inputs)
  File "/Users/edmondyip/Documents/stable-diffusion/forge/stable-diffusion-webui-forge/ldm_patched/ldm/modules/diffusionmodules/openaimodel.py", line 257, in _forward
    h = self.in_layers(x)
  File "/Users/edmondyip/Documents/stable-diffusion/forge/stable-diffusion-webui-forge/venv/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1518, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File "/Users/edmondyip/Documents/stable-diffusion/forge/stable-diffusion-webui-forge/venv/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1527, in _call_impl
    return forward_call(*args, **kwargs)
  File "/Users/edmondyip/Documents/stable-diffusion/forge/stable-diffusion-webui-forge/venv/lib/python3.10/site-packages/torch/nn/modules/container.py", line 215, in forward
    input = module(input)
  File "/Users/edmondyip/Documents/stable-diffusion/forge/stable-diffusion-webui-forge/venv/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1518, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File "/Users/edmondyip/Documents/stable-diffusion/forge/stable-diffusion-webui-forge/venv/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1527, in _call_impl
    return forward_call(*args, **kwargs)
  File "/Users/edmondyip/Documents/stable-diffusion/forge/stable-diffusion-webui-forge/ldm_patched/modules/ops.py", line 130, in forward
    return super().forward(*args, **kwargs)
  File "/Users/edmondyip/Documents/stable-diffusion/forge/stable-diffusion-webui-forge/venv/lib/python3.10/site-packages/torch/nn/modules/conv.py", line 610, in forward
    return self._conv_forward(input, self.weight, self.bias)
  File "/Users/edmondyip/Documents/stable-diffusion/forge/stable-diffusion-webui-forge/venv/lib/python3.10/site-packages/torch/nn/modules/conv.py", line 605, in _conv_forward
    return F.conv3d(
RuntimeError: Conv3D is not supported on MPS

Additional information

No response

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