fast-stable-diffusion
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TheLastBen
I found this error while working in Colab
I found this error when working in Colab, image generation does not want to work, this error appears constantly
*** Error completing request
*** Arguments: ('task(fd0w524iw92qj6p)', <gradio.routes.Request object at 0x7902e306ce90>, 0, 'casca, dark-skinned female, brown hair, brown eyes, ', '', [], <PIL.Image.Image image mode=RGBA size=2560x1600 at 0x7902F4429810>, None, None, None, None, None, None, 4, 0, 1, 1, 1, 7, 1.5, 0.75, 1.0, 512, 512, 1, 3, 0, 32, 0, '', '', '', [], False, [], '', 'upload', None, 0, False, 1, 0.5, 4, 0, 0.5, 2, 30, 'DPM++ 2M', 'Automatic', False, '', 0.8, -1, False, -1, 0, 0, 0, '* CFG Scale should be 2 or lower.', True, True, '', '', True, 50, True, 1, 0, False, 4, 0.5, 'Linear', 'None', '
Recommended settings: Sampling Steps: 80-100, Sampler: Euler a, Denoising strength: 0.8
', 128, 8, ['left', 'right', 'up', 'down'], 1, 0.05, 128, 4, 0, ['left', 'right', 'up', 'down'], False, False, 'positive', 'comma', 0, False, False, 'start', '', 'Will upscale the image by the selected scale factor; use width and height sliders to set tile size
', 64, 0, 2, 1, '', [], 0, '', [], 0, '', [], True, False, False, False, False, False, False, 0, False) {} Traceback (most recent call last): File "/content/gdrive/MyDrive/sd/stable-diffusion-webui/modules/call_queue.py", line 74, in f res = list(func(*args, **kwargs)) ^^^^^^^^^^^^^^^^^^^^^ File "/content/gdrive/MyDrive/sd/stable-diffusion-webui/modules/call_queue.py", line 53, in f res = func(*args, **kwargs) ^^^^^^^^^^^^^^^^^^^^^ File "/content/gdrive/MyDrive/sd/stable-diffusion-webui/modules/call_queue.py", line 37, in f res = func(*args, **kwargs) ^^^^^^^^^^^^^^^^^^^^^ File "/content/gdrive/MyDrive/sd/stable-diffusion-webui/modules/img2img.py", line 242, in img2img processed = process_images(p) ^^^^^^^^^^^^^^^^^ File "/content/gdrive/MyDrive/sd/stable-diffusion-webui/modules/processing.py", line 847, in process_images res = process_images_inner(p) ^^^^^^^^^^^^^^^^^^^^^^^ File "/content/gdrive/MyDrive/sd/stable-diffusion-webui/modules/processing.py", line 921, in process_images_inner p.init(p.all_prompts, p.all_seeds, p.all_subseeds) File "/content/gdrive/MyDrive/sd/stable-diffusion-webui/modules/processing.py", line 1730, in init self.init_latent = images_tensor_to_samples(image, approximation_indexes.get(opts.sd_vae_encode_method), self.sd_model) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/content/gdrive/MyDrive/sd/stable-diffusion-webui/modules/sd_samplers_common.py", line 110, in images_tensor_to_samples x_latent = model.get_first_stage_encoding(model.encode_first_stage(image)) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/usr/local/lib/python3.11/dist-packages/torch/utils/_contextlib.py", line 116, in decorate_context return func(*args, **kwargs) ^^^^^^^^^^^^^^^^^^^^^ File "/content/gdrive/MyDrive/sd/stablediffusion/generative-models/sgm/models/diffusion.py", line 127, in encode_first_stage z = self.first_stage_model.encode(x) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/content/gdrive/MyDrive/sd/stablediffusion/generative-models/sgm/models/autoencoder.py", line 321, in encode return super().encode(x).sample() ^^^^^^^^^^^^^^^^^ File "/content/gdrive/MyDrive/sd/stablediffusion/generative-models/sgm/models/autoencoder.py", line 308, in encode h = self.encoder(x) ^^^^^^^^^^^^^^^ File "/usr/local/lib/python3.11/dist-packages/torch/nn/modules/module.py", line 1739, in _wrapped_call_impl return self._call_impl(*args, **kwargs) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/usr/local/lib/python3.11/dist-packages/torch/nn/modules/module.py", line 1750, in _call_impl return forward_call(*args, **kwargs) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/content/gdrive/MyDrive/sd/stablediffusion/generative-models/sgm/modules/diffusionmodules/model.py", line 579, in forward h = self.down[i_level].block[i_block](hs[-1], temb) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/usr/local/lib/python3.11/dist-packages/torch/nn/modules/module.py", line 1739, in _wrapped_call_impl return self._call_impl(*args, **kwargs) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/usr/local/lib/python3.11/dist-packages/torch/nn/modules/module.py", line 1750, in _call_impl return forward_call(*args, **kwargs) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/content/gdrive/MyDrive/sd/stablediffusion/generative-models/sgm/modules/diffusionmodules/model.py", line 131, in forward h = nonlinearity(h) ^^^^^^^^^^^^^^^ File "/usr/local/lib/python3.11/dist-packages/torch/nn/functional.py", line 2380, in silu return torch._C._nn.silu(input) ^^^^^^^^^^^^^^^^^^^^^^^^ torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 1.95 GiB. GPU 0 has a total capacity of 14.74 GiB of which 1.67 GiB is free. Process 22092 has 13.07 GiB memory in use. Of the allocated memory 12.68 GiB is allocated by PyTorch, and 271.23 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables)
