PhotoMaker
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TencentARC
Copying space of https://huggingface.co/spaces/TencentARC/PhotoMaker is not working.
When I copied the space of https://huggingface.co/spaces/TencentARC/PhotoMaker it doesn't work. I use Nvidia T4 medium hardware for my Space. It just throw error:
Running on local URL: http://0.0.0.0:7860
To create a public link, set `share=True` in `launch()`.
Start inference...
[Debug] Prompt: cinematic photo [img] warrior . 35mm photograph, film, bokeh, professional, 4k, highly detailed,
[Debug] Neg Prompt: drawing, painting, crayon, sketch, graphite, impressionist, noisy, blurry, soft, deformed, ugly nsfw, lowres, bad anatomy, bad hands, text, error, missing fingers, extra digit, fewer digits, cropped, worst quality, low quality, normal quality, jpeg artifacts, signature, watermark, username, blurry
10
Traceback (most recent call last):
File "/home/user/.pyenv/versions/3.10.13/lib/python3.10/site-packages/gradio/queueing.py", line 495, in call_prediction
output = await route_utils.call_process_api(
File "/home/user/.pyenv/versions/3.10.13/lib/python3.10/site-packages/gradio/route_utils.py", line 232, in call_process_api
output = await app.get_blocks().process_api(
File "/home/user/.pyenv/versions/3.10.13/lib/python3.10/site-packages/gradio/blocks.py", line 1561, in process_api
result = await self.call_function(
File "/home/user/.pyenv/versions/3.10.13/lib/python3.10/site-packages/gradio/blocks.py", line 1179, in call_function
prediction = await anyio.to_thread.run_sync(
File "/home/user/.pyenv/versions/3.10.13/lib/python3.10/site-packages/anyio/to_thread.py", line 56, in run_sync
return await get_async_backend().run_sync_in_worker_thread(
File "/home/user/.pyenv/versions/3.10.13/lib/python3.10/site-packages/anyio/_backends/_asyncio.py", line 2134, in run_sync_in_worker_thread
return await future
File "/home/user/.pyenv/versions/3.10.13/lib/python3.10/site-packages/anyio/_backends/_asyncio.py", line 851, in run
result = context.run(func, *args)
File "/home/user/.pyenv/versions/3.10.13/lib/python3.10/site-packages/gradio/utils.py", line 678, in wrapper
response = f(*args, **kwargs)
File "/home/user/.pyenv/versions/3.10.13/lib/python3.10/site-packages/gradio/utils.py", line 678, in wrapper
response = f(*args, **kwargs)
File "/home/user/app/app.py", line 74, in generate_image
images = pipe(
File "/home/user/.pyenv/versions/3.10.13/lib/python3.10/site-packages/torch/utils/_contextlib.py", line 115, in decorate_context
return func(*args, **kwargs)
File "/home/user/app/pipeline.py", line 331, in __call__
) = self.encode_prompt(
File "/home/user/.pyenv/versions/3.10.13/lib/python3.10/site-packages/diffusers/pipelines/stable_diffusion_xl/pipeline_stable_diffusion_xl.py", line 415, in encode_prompt
prompt_embeds = text_encoder(text_input_ids.to(device), output_hidden_states=True)
File "/home/user/.pyenv/versions/3.10.13/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1501, in _call_impl
return forward_call(*args, **kwargs)
File "/home/user/.pyenv/versions/3.10.13/lib/python3.10/site-packages/transformers/models/clip/modeling_clip.py", line 798, in forward
return self.text_model(
File "/home/user/.pyenv/versions/3.10.13/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1501, in _call_impl
return forward_call(*args, **kwargs)
File "/home/user/.pyenv/versions/3.10.13/lib/python3.10/site-packages/transformers/models/clip/modeling_clip.py", line 703, in forward
encoder_outputs = self.encoder(
File "/home/user/.pyenv/versions/3.10.13/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1501, in _call_impl
return forward_call(*args, **kwargs)
File "/home/user/.pyenv/versions/3.10.13/lib/python3.10/site-packages/transformers/models/clip/modeling_clip.py", line 630, in forward
layer_outputs = encoder_layer(
File "/home/user/.pyenv/versions/3.10.13/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1501, in _call_impl
return forward_call(*args, **kwargs)
File "/home/user/.pyenv/versions/3.10.13/lib/python3.10/site-packages/transformers/models/clip/modeling_clip.py", line 372, in forward
hidden_states, attn_weights = self.self_attn(
File "/home/user/.pyenv/versions/3.10.13/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1501, in _call_impl
return forward_call(*args, **kwargs)
File "/home/user/.pyenv/versions/3.10.13/lib/python3.10/site-packages/transformers/models/clip/modeling_clip.py", line 261, in forward
query_states = self.q_proj(hidden_states) * self.scale
RuntimeError: CUDA error: device-side assert triggered
CUDA kernel errors might be asynchronously reported at some other API call, so the stacktrace below might be incorrect.
For debugging consider passing CUDA_LAUNCH_BLOCKING=1.
Compile with `TORCH_USE_CUDA_DSA` to enable device-side assertions.
../aten/src/ATen/native/cuda/Indexing.cu:1146: indexSelectLargeIndex: block: [25,0,0], thread: [32,0,0] Assertion `srcIndex < srcSelectDimSize` failed.
A10 is suitable
Atonamy @.***>于2024年1月20日 周六14:40写道：
Then what hardware is suitable?
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