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Error Running on gdrive #8

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tmatzxzone opened this issue Oct 21, 2022 · 8 comments
Closed

Error Running on gdrive #8

tmatzxzone opened this issue Oct 21, 2022 · 8 comments

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@tmatzxzone
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Running on these settings, also google drive still have 5gb free of storage (free user)
Also it gave me 2 different links: gradio and loca.it
im using ur latest updated code u just commit

image

/content/drive/MyDrive/AI/stable-diffusion-webui
Python 3.7.15 (default, Oct 12 2022, 19:14:55) 
[GCC 7.5.0]
Commit hash: 72e86948e6d73278eacc9a01974064edada58f86
Installing gfpgan
Installing clip
Cloning Stable Diffusion into repositories/stable-diffusion...
Cloning Taming Transformers into repositories/taming-transformers...
Cloning K-diffusion into repositories/k-diffusion...
Cloning CodeFormer into repositories/CodeFormer...
Cloning BLIP into repositories/BLIP...
Installing requirements for CodeFormer
Installing requirements for Web UI
Exiting because of --exit argument
Python 3.7.15 (default, Oct 12 2022, 19:14:55) 
[GCC 7.5.0]
Commit hash: 72e86948e6d73278eacc9a01974064edada58f86
Installing xformers
your url is: https://twelve-falcons-hear-34-87-1-178.loca.lt/
OKInstalling requirements for Web UI
Launching Web UI with arguments: --xformers --share --medvram --gradio-auth ac:NovelAI
WARNING:root:Triton is not available, some optimizations will not be enabled.
Error No module named 'triton'
LatentDiffusion: Running in eps-prediction mode
DiffusionWrapper has 859.52 M params.
making attention of type 'vanilla' with 512 in_channels
Working with z of shape (1, 4, 32, 32) = 4096 dimensions.
making attention of type 'vanilla' with 512 in_channels
Downloading: 100% 939k/939k [00:01<00:00, 693kB/s] 
Downloading: 100% 512k/512k [00:01<00:00, 465kB/s]
Downloading: 100% 389/389 [00:00<00:00, 264kB/s]
Downloading: 100% 905/905 [00:00<00:00, 571kB/s]
Downloading: 100% 4.41k/4.41k [00:00<00:00, 2.65MB/s]
Downloading: 100% 1.59G/1.59G [00:25<00:00, 67.9MB/s]
Loading weights [925997e9] from /content/drive/MyDrive/AI/stable-diffusion-webui/models/Stable-diffusion/novelAI.ckpt
Applying xformers cross attention optimization.
Model loaded.
Loaded a total of 0 textual inversion embeddings.
Embeddings: 
Running on local URL:  http://127.0.0.1:7860/
Running on public URL: https://c8cf68b96613492c.gradio.app/

This share link expires in 72 hours. For free permanent hosting and GPU upgrades (NEW!), check out Spaces: https://huggingface.co/spaces
  0% 0/20 [00:04<?, ?it/s]
Error completing request
Arguments: ('1girl, bangs, bare shoulders, bell, black gloves', '', 'None', 'None', 20, 0, False, False, 1, 1, 7, -1.0, -1.0, 0, 0, 0, False, 512, 512, False, 0.7, 0, 0, '0.0001', 0.9, 5, 'None', False, '', 0.1, False, 0, False, False, None, '', 1, '', 0, '', True, False, False) {}
Traceback (most recent call last):
  File "/content/drive/MyDrive/AI/stable-diffusion-webui/modules/ui.py", line 217, in f
    res = list(func(*args, **kwargs))
  File "/content/drive/MyDrive/AI/stable-diffusion-webui/webui.py", line 63, in f
    res = func(*args, **kwargs)
  File "/content/drive/MyDrive/AI/stable-diffusion-webui/modules/txt2img.py", line 47, in txt2img
    processed = process_images(p)
  File "/content/drive/MyDrive/AI/stable-diffusion-webui/modules/processing.py", line 411, in process_images
    samples_ddim = p.sample(conditioning=c, unconditional_conditioning=uc, seeds=seeds, subseeds=subseeds, subseed_strength=p.subseed_strength)
  File "/content/drive/MyDrive/AI/stable-diffusion-webui/modules/processing.py", line 569, in sample
    samples = self.sampler.sample(self, x, conditioning, unconditional_conditioning, image_conditioning=self.create_dummy_mask(x))
  File "/content/drive/MyDrive/AI/stable-diffusion-webui/modules/sd_samplers.py", line 454, in sample
    samples = self.launch_sampling(steps, lambda: self.func(self.model_wrap_cfg, x, extra_args={
  File "/content/drive/MyDrive/AI/stable-diffusion-webui/modules/sd_samplers.py", line 356, in launch_sampling
    return func()
  File "/content/drive/MyDrive/AI/stable-diffusion-webui/modules/sd_samplers.py", line 459, in <lambda>
    }, disable=False, callback=self.callback_state, **extra_params_kwargs))
  File "/usr/local/lib/python3.7/dist-packages/torch/autograd/grad_mode.py", line 27, in decorate_context
    return func(*args, **kwargs)
  File "/content/drive/MyDrive/AI/stable-diffusion-webui/repositories/k-diffusion/k_diffusion/sampling.py", line 80, in sample_euler_ancestral
    denoised = model(x, sigmas[i] * s_in, **extra_args)
  File "/usr/local/lib/python3.7/dist-packages/torch/nn/modules/module.py", line 1130, in _call_impl
    return forward_call(*input, **kwargs)
  File "/content/drive/MyDrive/AI/stable-diffusion-webui/modules/sd_samplers.py", line 282, in forward
    x_out[a:b] = self.inner_model(x_in[a:b], sigma_in[a:b], cond={"c_crossattn": [cond_in[a:b]], "c_concat": [image_cond_in[a:b]]})
  File "/usr/local/lib/python3.7/dist-packages/torch/nn/modules/module.py", line 1130, in _call_impl
    return forward_call(*input, **kwargs)
  File "/content/drive/MyDrive/AI/stable-diffusion-webui/repositories/k-diffusion/k_diffusion/external.py", line 112, in forward
    eps = self.get_eps(input * c_in, self.sigma_to_t(sigma), **kwargs)
  File "/content/drive/MyDrive/AI/stable-diffusion-webui/repositories/k-diffusion/k_diffusion/external.py", line 138, in get_eps
    return self.inner_model.apply_model(*args, **kwargs)
  File "/content/drive/MyDrive/AI/stable-diffusion-webui/repositories/stable-diffusion/ldm/models/diffusion/ddpm.py", line 987, in apply_model
    x_recon = self.model(x_noisy, t, **cond)
  File "/usr/local/lib/python3.7/dist-packages/torch/nn/modules/module.py", line 1148, in _call_impl
    result = forward_call(*input, **kwargs)
  File "/content/drive/MyDrive/AI/stable-diffusion-webui/repositories/stable-diffusion/ldm/models/diffusion/ddpm.py", line 1410, in forward
    out = self.diffusion_model(x, t, context=cc)
  File "/usr/local/lib/python3.7/dist-packages/torch/nn/modules/module.py", line 1130, in _call_impl
    return forward_call(*input, **kwargs)
  File "/content/drive/MyDrive/AI/stable-diffusion-webui/repositories/stable-diffusion/ldm/modules/diffusionmodules/openaimodel.py", line 732, in forward
    h = module(h, emb, context)
  File "/usr/local/lib/python3.7/dist-packages/torch/nn/modules/module.py", line 1130, in _call_impl
    return forward_call(*input, **kwargs)
  File "/content/drive/MyDrive/AI/stable-diffusion-webui/repositories/stable-diffusion/ldm/modules/diffusionmodules/openaimodel.py", line 85, in forward
    x = layer(x, context)
  File "/usr/local/lib/python3.7/dist-packages/torch/nn/modules/module.py", line 1130, in _call_impl
    return forward_call(*input, **kwargs)
  File "/content/drive/MyDrive/AI/stable-diffusion-webui/repositories/stable-diffusion/ldm/modules/attention.py", line 258, in forward
    x = block(x, context=context)
  File "/usr/local/lib/python3.7/dist-packages/torch/nn/modules/module.py", line 1130, in _call_impl
    return forward_call(*input, **kwargs)
  File "/content/drive/MyDrive/AI/stable-diffusion-webui/repositories/stable-diffusion/ldm/modules/attention.py", line 209, in forward
    return checkpoint(self._forward, (x, context), self.parameters(), self.checkpoint)
  File "/content/drive/MyDrive/AI/stable-diffusion-webui/repositories/stable-diffusion/ldm/modules/diffusionmodules/util.py", line 114, in checkpoint
    return CheckpointFunction.apply(func, len(inputs), *args)
  File "/content/drive/MyDrive/AI/stable-diffusion-webui/repositories/stable-diffusion/ldm/modules/diffusionmodules/util.py", line 127, in forward
    output_tensors = ctx.run_function(*ctx.input_tensors)
  File "/content/drive/MyDrive/AI/stable-diffusion-webui/repositories/stable-diffusion/ldm/modules/attention.py", line 212, in _forward
    x = self.attn1(self.norm1(x)) + x
  File "/usr/local/lib/python3.7/dist-packages/torch/nn/modules/module.py", line 1130, in _call_impl
    return forward_call(*input, **kwargs)
  File "/content/drive/MyDrive/AI/stable-diffusion-webui/modules/sd_hijack_optimizations.py", line 227, in xformers_attention_forward
    out = xformers.ops.memory_efficient_attention(q, k, v, attn_bias=None)
TypeError: memory_efficient_attention() got an unexpected keyword argument 'attn_bias'
@tmatzxzone
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Ah it's xformers error on collab, btw this Repo managed to run xformers on collab

@acheong08
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I need to update the Python version in Colab. Working on it

@acheong08
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Also it gave me 2 different links: gradio and loca.it

You can use either. Gradio has a bug that prevents the transmission of images over 5 Megabytes. loca.lt is the alternative.

@acheong08
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acheong08 commented Oct 22, 2022 •
edited

Getting xformers requires a newer python version. The new version does not come with torch
Installing torch on Colab is extremely slow. Might just remove xformers as an option

@acheong08
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Ah it's xformers error on collab, btw this Repo managed to run xformers on collab

I copied some of their code and xformers works now...

@acheong08
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Never mind.

File "/content/stable-diffusion-webui/modules/sd_hijack_optimizations.py", line 227, in xformers_attention_forward
    out = xformers.ops.memory_efficient_attention(q, k, v,)
  File "/usr/local/lib/python3.7/dist-packages/xformers/ops.py", line 58, in memory_efficient_attention
    return torch.ops.xformers.efficient_attention(query, key, value, False)[0]
  File "/usr/local/lib/python3.7/dist-packages/torch/_ops.py", line 143, in __call__
    return self._op(*args, **kwargs or {})
RuntimeError: Expected query.dim() == 3 to be true, but got false.  (Could this error message be improved?  If so, please report an enhancement request to PyTorch.)

@acheong08
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Ah it's xformers error on collab, btw this Repo managed to run xformers on collab

Their repo no longer works (for me) either. Must be upstream issues with AUTOMATIC's repo

@acheong08
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I removed xformers as an option until it is fixed
AUTOMATIC1111/stable-diffusion-webui#2731

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@acheong08 @tmatzxzone