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Update app.py
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app.py
CHANGED
@@ -47,10 +47,10 @@ ip_model = IPAdapterInstruct(pipe, image_encoder_path, ip_ckpt, device,dtypein=t
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cv2.setNumThreads(1)
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@spaces.GPU(enable_queue=True)
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def generate_image(
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faceid_all_embeds = []
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first_iteration = True
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-
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#average_embedding = torch.mean(torch.stack(faceid_all_embeds, dim=0), dim=0)
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@@ -84,9 +84,9 @@ with gr.Blocks(css=css) as demo:
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gr.Markdown("Demo for the [CiaraRowles/IP-Adapter-Instruct model](https://huggingface.co/CiaraRowles/IP-Adapter-Instruct)")
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with gr.Row():
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with gr.Column():
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files = gr.
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label="Drag 1 input image",
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file_types="image"
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)
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uploaded_files = gr.Gallery(label="Your image", visible=False, columns=5, rows=1, height=125)
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with gr.Column(visible=False) as clear_button:
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cv2.setNumThreads(1)
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@spaces.GPU(enable_queue=True)
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def generate_image(images, prompt, negative_prompt, preserve_face_structure, face_strength, scale, nfaa_negative_prompt, progress=gr.Progress(track_tqdm=True)):
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faceid_all_embeds = []
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first_iteration = True
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image = images[0]
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#average_embedding = torch.mean(torch.stack(faceid_all_embeds, dim=0), dim=0)
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gr.Markdown("Demo for the [CiaraRowles/IP-Adapter-Instruct model](https://huggingface.co/CiaraRowles/IP-Adapter-Instruct)")
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with gr.Row():
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with gr.Column():
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files = gr.Files(
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label="Drag 1 input image",
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file_types=["image"]
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)
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uploaded_files = gr.Gallery(label="Your image", visible=False, columns=5, rows=1, height=125)
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with gr.Column(visible=False) as clear_button:
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