init zeroGPU facefusion

README.md

@@ -5,9 +5,8 @@ colorFrom: blue
 colorTo: gray
 sdk: gradio
 sdk_version: 6.25.0
-python_version: '3.13'
 app_file: app.py
 pinned: false
+hardware: zero-a10g
 ---
-
-Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
+Private FaceFusion ZeroGPU Space

app.py

@@ -0,0 +1,39 @@
+import spaces
+import gradio as gr
+import cv2
+import numpy as np
+
+@spaces.GPU
+def swap_face(source_img, target_img):
+    import insightface
+    from insightface.app import FaceAnalysis
+    try:
+        app = FaceAnalysis(name='buffalo_l')
+        app.prepare(ctx_id=0, det_size=(640,640))
+        import insightface.model_zoo
+        swapper = insightface.model_zoo.get_model('inswapper_128.onnx', download=True)
+        if swapper is None:
+            return target_img
+        source = cv2.imread(source_img)
+        target = cv2.imread(target_img)
+        s_faces = app.get(source)
+        t_faces = app.get(target)
+        if not s_faces or not t_faces:
+            return target_img
+        res = swapper.get(target, t_faces[0], s_faces[0], paste_back=True)
+        out_path = "/tmp/swapped.jpg"
+        cv2.imwrite(out_path, res)
+        return out_path
+    except Exception as e:
+        return target_img
+
+with gr.Blocks() as demo:
+    gr.Markdown("# FaceFusion Zero (PRO)")
+    with gr.Row():
+        src = gr.Image(type="filepath", label="Source (your face)")
+        tgt = gr.Image(type="filepath", label="Target (flying Kathmandu)")
+    out = gr.Image(type="filepath", label="Result")
+    btn = gr.Button("Swap")
+    btn.click(swap_face, inputs=[src, tgt], outputs=out)
+
+demo.launch()

requirements.txt

@@ -0,0 +1,7 @@
+gradio
+spaces
+insightface
+onnxruntime-gpu
+opencv-python
+huggingface_hub
+hf_transfer