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Running
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CPU Upgrade
Running
on
CPU Upgrade
Update app.py
#1916
by
pngwn
HF staff
- opened
app.py
CHANGED
@@ -111,11 +111,10 @@ def infer(
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for prediction in json_data["predictions"]:
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for image in prediction["images"]:
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-
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images.append(
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if profile is not None: # avoid conversion on non-logged-in users
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-
pil_image = Image.open(BytesIO(base64.b64decode(image)))
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user_history.save_image( # save images + metadata to user history
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label=prompt,
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image=pil_image,
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@@ -364,13 +363,11 @@ with block:
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inputs=[text, negative, guidance_scale],
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outputs=[gallery, community_group],
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cache_examples=True,
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postprocess=False,
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)
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negative.submit(
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infer,
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inputs=[text, negative, guidance_scale, style_selection],
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outputs=[gallery, community_group],
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postprocess=False,
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concurrency_id="infer",
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concurrency_limit=8,
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)
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@@ -378,7 +375,6 @@ with block:
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infer,
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inputs=[text, negative, guidance_scale, style_selection],
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outputs=[gallery, community_group],
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postprocess=False,
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concurrency_id="infer",
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concurrency_limit=8,
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)
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@@ -386,7 +382,6 @@ with block:
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infer,
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inputs=[text, negative, guidance_scale, style_selection],
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outputs=[gallery, community_group],
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postprocess=False,
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concurrency_id="infer",
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concurrency_limit=8,
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)
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for prediction in json_data["predictions"]:
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for image in prediction["images"]:
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+
pil_image = Image.open(BytesIO(base64.b64decode(image)))
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+
images.append(pil_image)
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if profile is not None: # avoid conversion on non-logged-in users
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user_history.save_image( # save images + metadata to user history
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label=prompt,
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image=pil_image,
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inputs=[text, negative, guidance_scale],
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outputs=[gallery, community_group],
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cache_examples=True,
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)
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negative.submit(
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infer,
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inputs=[text, negative, guidance_scale, style_selection],
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outputs=[gallery, community_group],
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concurrency_id="infer",
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concurrency_limit=8,
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)
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infer,
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inputs=[text, negative, guidance_scale, style_selection],
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outputs=[gallery, community_group],
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concurrency_id="infer",
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concurrency_limit=8,
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)
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infer,
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inputs=[text, negative, guidance_scale, style_selection],
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outputs=[gallery, community_group],
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concurrency_id="infer",
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concurrency_limit=8,
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)
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