Spaces:
Running
on
T4
Running
on
T4
Update app.py
Browse files
app.py
CHANGED
@@ -35,7 +35,7 @@ def setup(device='cuda'):
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model_type = "EleutherAI/gpt-neo-125M"
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#encoder = AutoModel.from_pretrained(model_type).to(device)
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encoder = img_pipe.unet.text_encoder
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-
if
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l = len(img_pipe.unet.down_blocks)
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for i in range(l):
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img_pipe.unet.down_blocks[i] = torch.compile(img_pipe.unet.down_blocks[i])
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@@ -94,6 +94,7 @@ with gr.Blocks() as demo:
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#yield s
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q = image_clean
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q = q.reshape((64, 320, 3))
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yield i, q, submit_btn.update(visible=False)
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yield i, q, submit_btn.update(visible=True)
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#with requests.post(url=API_ENDPOINT, data=data, timeout=600, stream=True) as r:
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model_type = "EleutherAI/gpt-neo-125M"
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#encoder = AutoModel.from_pretrained(model_type).to(device)
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encoder = img_pipe.unet.text_encoder
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if False:
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l = len(img_pipe.unet.down_blocks)
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for i in range(l):
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img_pipe.unet.down_blocks[i] = torch.compile(img_pipe.unet.down_blocks[i])
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#yield s
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q = image_clean
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q = q.reshape((64, 320, 3))
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print (q.min(), q.max())
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yield i, q, submit_btn.update(visible=False)
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yield i, q, submit_btn.update(visible=True)
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#with requests.post(url=API_ENDPOINT, data=data, timeout=600, stream=True) as r:
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