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a2bce81
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Parent(s):
bff574e
Update app.py
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app.py
CHANGED
@@ -3,6 +3,7 @@ from diffusers import StableDiffusionPipeline, DDIMScheduler, AutoencoderKL
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from ip_adapter.ip_adapter_faceid import IPAdapterFaceID
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from huggingface_hub import hf_hub_download
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from insightface.app import FaceAnalysis
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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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@@ -40,7 +41,9 @@ def generate_faceid_embeddings(image):
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faceid_embeds = torch.from_numpy(faces[0].normed_embedding).unsqueeze(0)
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return faceid_embeds
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def generate_image(image, prompt, negative_prompt):
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faceid_embeds = generate_faceid_embeddings(image)
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images = ip_model.generate(
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prompt=prompt, negative_prompt=negative_prompt, faceid_embeds=faceid_embeds, width=512, height=512, num_inference_steps=30
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from ip_adapter.ip_adapter_faceid import IPAdapterFaceID
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from huggingface_hub import hf_hub_download
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from insightface.app import FaceAnalysis
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import spaces
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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_embeds = torch.from_numpy(faces[0].normed_embedding).unsqueeze(0)
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return faceid_embeds
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@spaces.GPU
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def generate_image(image, prompt, negative_prompt):
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pipe.to(device)
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faceid_embeds = generate_faceid_embeddings(image)
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images = ip_model.generate(
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prompt=prompt, negative_prompt=negative_prompt, faceid_embeds=faceid_embeds, width=512, height=512, num_inference_steps=30
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