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Update app.py
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app.py
CHANGED
@@ -40,13 +40,14 @@ def infer(image_path, prompt, orbit_type, progress=gr.Progress(track_tqdm=True))
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adapter_name = None
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if orbit_type == "Left":
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weight_name = "orbit_left_lora_weights.safetensors"
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adapter_name = "orbit_left_lora_weights"
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elif orbit_type == "Up":
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weight_name = "orbit_up_lora_weights.safetensors"
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adapter_name = "orbit_up_lora_weights"
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lora_rank = 256
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-
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pipe.fuse_lora(lora_scale=1 / lora_rank)
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pipe.to("cuda")
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@@ -96,7 +97,7 @@ with gr.Blocks() as demo:
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with gr.Column():
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image_in = gr.Image(label="Image Input", type="filepath")
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prompt = gr.Textbox(label="Prompt")
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orbit_type = gr.Radio(label="Orbit type", choices=["Left", "Up"], value="Left", interactive=
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submit_btn = gr.Button("Submit")
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with gr.Column():
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video_out = gr.Video(label="Video output")
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adapter_name = None
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if orbit_type == "Left":
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weight_name = "orbit_left_lora_weights.safetensors"
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elif orbit_type == "Up":
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weight_name = "orbit_up_lora_weights.safetensors"
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lora_rank = 256
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# Generate a timestamp for adapter_name
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adapter_timestamp = datetime.now().strftime("%Y%m%d_%H%M%S")
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pipe.load_lora_weights(lora_path, weight_name=weight_name, adapter_name=f"adapter_name_{adapter_timestamp}")
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pipe.fuse_lora(lora_scale=1 / lora_rank)
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pipe.to("cuda")
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with gr.Column():
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image_in = gr.Image(label="Image Input", type="filepath")
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prompt = gr.Textbox(label="Prompt")
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orbit_type = gr.Radio(label="Orbit type", choices=["Left", "Up"], value="Left", interactive=True)
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submit_btn = gr.Button("Submit")
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with gr.Column():
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video_out = gr.Video(label="Video output")
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