Spaces:
Running
on
Zero
Running
on
Zero
prompt
Browse files
app.py
CHANGED
@@ -65,7 +65,7 @@ pipe.enable_vae_tiling()
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blip_processor = BlipProcessor.from_pretrained("Salesforce/blip-image-captioning-large")
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-
blip_model = BlipForConditionalGeneration.from_pretrained("Salesforce/blip-image-captioning-large")
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target_content_blocks = BLOCKS['content']
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target_style_blocks = BLOCKS['style']
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@@ -184,8 +184,8 @@ def create_image(content_image_pil,
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content_image_pil = Image.fromarray(
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np.zeros((1024, 1024, 3), dtype=np.uint8)).convert('RGB')
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if prompt
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-
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inputs = blip_processor(content_image_pil, return_tensors="pt").to(device)
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out = blip_model.generate(**inputs)
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prompt = blip_processor.decode(out[0], skip_special_tokens=True)
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@@ -324,6 +324,7 @@ with block:
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prompt = gr.Textbox(label="Prompt",
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value="there is a small house with a sheep statue on top of it")
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if prompt_type == "caption of Blip" and target == "Image-Driven Style Transfer":
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prompt =''
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blip_processor = BlipProcessor.from_pretrained("Salesforce/blip-image-captioning-large")
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+
blip_model = BlipForConditionalGeneration.from_pretrained("Salesforce/blip-image-captioning-large").to(device)
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target_content_blocks = BLOCKS['content']
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target_style_blocks = BLOCKS['style']
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content_image_pil = Image.fromarray(
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np.zeros((1024, 1024, 3), dtype=np.uint8)).convert('RGB')
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if prompt == '':
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inputs = blip_processor(content_image_pil, return_tensors="pt").to(device)
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out = blip_model.generate(**inputs)
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prompt = blip_processor.decode(out[0], skip_special_tokens=True)
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prompt = gr.Textbox(label="Prompt",
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value="there is a small house with a sheep statue on top of it")
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+
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if prompt_type == "caption of Blip" and target == "Image-Driven Style Transfer":
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prompt =''
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