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Update app.py
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app.py
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@@ -30,8 +30,6 @@ from tsr.system import TSR
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from tsr.utils import remove_background, resize_foreground, to_gradio_3d_orientation
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HEADER = """FRAME AI"""
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if torch.cuda.is_available():
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device = "cuda:0"
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@@ -134,8 +132,8 @@ def generate_image_from_text(pos_prompt, seed):
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'negativeText': neg_prompt},
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'imageGenerationConfig': {"cfgScale":8,
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"seed":int(seed),
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"width":
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"height":
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"numberOfImages":1
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}
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}
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@@ -144,16 +142,8 @@ def generate_image_from_text(pos_prompt, seed):
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response_body = json.loads(response.get('body').read())
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base64_image_data = base64.b64decode(response_body['images'][0])
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# webp_image_io = io.BytesIO()
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# image = image.convert('RGB') # Convert to RGB for WebP compatibility
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image.save(image, format='WEBP')
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# webp_image_io.seek(0)
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return Image.open(image)
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def check_input_image(input_image):
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if input_image is None:
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from tsr.utils import remove_background, resize_foreground, to_gradio_3d_orientation
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if torch.cuda.is_available():
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device = "cuda:0"
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'negativeText': neg_prompt},
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'imageGenerationConfig': {"cfgScale":8,
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"seed":int(seed),
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"width":768,
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"height":768,
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"numberOfImages":1
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}
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}
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response_body = json.loads(response.get('body').read())
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base64_image_data = base64.b64decode(response_body['images'][0])
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return Image.open(io.BytesIO(base64_image_data))
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def check_input_image(input_image):
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if input_image is None:
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