/usr/local/lib/python3.9/dist-packages/transformers/models/clip/feature_extraction_clip.py:28: FutureWarning: The class CLIPFeatureExtractor is deprecated and will be removed in version 5 of Transformers. Please use CLIPImageProcessor instead.
warnings.warn(
You have disabled the safety checker for <class 'diffusers.pipelines.stable_diffusion.pipeline_stable_diffusion_inpaint.StableDiffusionInpaintPipeline'> by passing safety_checker=None. Ensure that you abide to the conditions of the Stable Diffusion license and do not expose unfiltered results in services or applications open to the public. Both the diffusers team and Hugging Face strongly recommend to keep the safety filter enabled in all public facing circumstances, disabling it only for use-cases that involve analyzing network behavior or auditing its results. For more information, please have a look at https://github.com/huggingface/diffusers/pull/254 .
0% 0/50 [00:00<?, ?it/s]
Traceback (most recent call last):
File "/usr/local/lib/python3.9/dist-packages/gradio/routes.py", line 394, in run_predict
output = await app.get_blocks().process_api(
File "/usr/local/lib/python3.9/dist-packages/gradio/blocks.py", line 1075, in process_api
result = await self.call_function(
File "/usr/local/lib/python3.9/dist-packages/gradio/blocks.py", line 884, in call_function
prediction = await anyio.to_thread.run_sync(
File "/usr/local/lib/python3.9/dist-packages/anyio/to_thread.py", line 31, in run_sync
return await get_asynclib().run_sync_in_worker_thread(
File "/usr/local/lib/python3.9/dist-packages/anyio/_backends/_asyncio.py", line 937, in run_sync_in_worker_thread
return await future
File "/usr/local/lib/python3.9/dist-packages/anyio/_backends/_asyncio.py", line 867, in run
result = context.run(func, args)
File "/content/Grounded-Segment-Anything/gradio_app.py", line 257, in run_grounded_sam
image = pipe(prompt=inpaint_prompt, image=image_pil, mask_image=mask_pil).images[0]
File "/usr/local/lib/python3.9/dist-packages/torch/utils/_contextlib.py", line 115, in decorate_context
return func(args, **kwargs)
File "/usr/local/lib/python3.9/dist-packages/diffusers/pipelines/stable_diffusion/pipeline_stable_diffusion_inpaint.py", line 854, in call
latent_model_input = torch.cat([latent_model_input, mask, masked_image_latents], dim=1)
RuntimeError: Sizes of tensors must match except in dimension 1. Expected size 64 but got size 120 for tensor number 2 in the list.
/usr/local/lib/python3.9/dist-packages/transformers/models/clip/feature_extraction_clip.py:28: FutureWarning: The class CLIPFeatureExtractor is deprecated and will be removed in version 5 of Transformers. Please use CLIPImageProcessor instead. warnings.warn( You have disabled the safety checker for <class 'diffusers.pipelines.stable_diffusion.pipeline_stable_diffusion_inpaint.StableDiffusionInpaintPipeline'> by passing
safety_checker=None. Ensure that you abide to the conditions of the Stable Diffusion license and do not expose unfiltered results in services or applications open to the public. Both the diffusers team and Hugging Face strongly recommend to keep the safety filter enabled in all public facing circumstances, disabling it only for use-cases that involve analyzing network behavior or auditing its results. For more information, please have a look at https://github.com/huggingface/diffusers/pull/254 . 0% 0/50 [00:00<?, ?it/s] Traceback (most recent call last): File "/usr/local/lib/python3.9/dist-packages/gradio/routes.py", line 394, in run_predict output = await app.get_blocks().process_api( File "/usr/local/lib/python3.9/dist-packages/gradio/blocks.py", line 1075, in process_api result = await self.call_function( File "/usr/local/lib/python3.9/dist-packages/gradio/blocks.py", line 884, in call_function prediction = await anyio.to_thread.run_sync( File "/usr/local/lib/python3.9/dist-packages/anyio/to_thread.py", line 31, in run_sync return await get_asynclib().run_sync_in_worker_thread( File "/usr/local/lib/python3.9/dist-packages/anyio/_backends/_asyncio.py", line 937, in run_sync_in_worker_thread return await future File "/usr/local/lib/python3.9/dist-packages/anyio/_backends/_asyncio.py", line 867, in run result = context.run(func, args) File "/content/Grounded-Segment-Anything/gradio_app.py", line 257, in run_grounded_sam image = pipe(prompt=inpaint_prompt, image=image_pil, mask_image=mask_pil).images[0] File "/usr/local/lib/python3.9/dist-packages/torch/utils/_contextlib.py", line 115, in decorate_context return func(args, **kwargs) File "/usr/local/lib/python3.9/dist-packages/diffusers/pipelines/stable_diffusion/pipeline_stable_diffusion_inpaint.py", line 854, in call latent_model_input = torch.cat([latent_model_input, mask, masked_image_latents], dim=1) RuntimeError: Sizes of tensors must match except in dimension 1. Expected size 64 but got size 120 for tensor number 2 in the list.