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Update app.py
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app.py
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@@ -39,7 +39,7 @@ pipe = StableDiffusionPipeline.from_pretrained(
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vae=vae,
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feature_extractor=safety_feature_extractor,
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safety_checker=safety_checker
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)
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#pipe.load_lora_weights("h94/IP-Adapter-FaceID", weight_name="ip-adapter-faceid-plusv2_sd15_lora.safetensors")
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#pipe.fuse_lora()
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@@ -47,12 +47,11 @@ pipe = StableDiffusionPipeline.from_pretrained(
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ip_model = IPAdapterFaceID(pipe, ip_ckpt, device)
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ip_model_plus = IPAdapterFaceIDPlus(pipe, image_encoder_path, ip_plus_ckpt, device)
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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, likeness_strength, nfaa_negative_prompt, progress=gr.Progress(track_tqdm=True)):
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pipe.to(device)
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app = FaceAnalysis(name="buffalo_l", providers=['CUDAExecutionProvider', 'CPUExecutionProvider'])
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app.prepare(ctx_id=0, det_size=(640, 640))
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faceid_all_embeds = []
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first_iteration = True
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for image in images:
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vae=vae,
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feature_extractor=safety_feature_extractor,
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safety_checker=safety_checker
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).to(device)
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#pipe.load_lora_weights("h94/IP-Adapter-FaceID", weight_name="ip-adapter-faceid-plusv2_sd15_lora.safetensors")
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#pipe.fuse_lora()
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ip_model = IPAdapterFaceID(pipe, ip_ckpt, device)
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ip_model_plus = IPAdapterFaceIDPlus(pipe, image_encoder_path, ip_plus_ckpt, device)
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app = FaceAnalysis(name="buffalo_l", providers=['CPUExecutionProvider'])
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app.prepare(ctx_id=0, det_size=(640, 640))
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+
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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, likeness_strength, 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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for image in images:
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