Spaces:
Sleeping
Sleeping
InstantID For retaining facial identity
Browse files
app.py
CHANGED
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@@ -13,18 +13,21 @@ from rembg import remove
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from diffusers import StableDiffusionImg2ImgPipeline
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from diffusers import StableDiffusionXLPipeline
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import io
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import os, sys, subprocess
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# --- Ensure InstantID is available ---
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if not os.path.exists("instantid"):
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print("🔄 Cloning InstantID repository...")
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subprocess.run(["git", "clone", "https://github.com/InstantID/InstantID.git"], check=True)
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os.
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from
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import torchvision
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print("Printing Torch and TorchVision versions:")
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@@ -171,8 +174,9 @@ def create_avatar(img: Image.Image, prompt: str, strength: float, guidance_scale
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torch_dtype=torch.float16
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).to(device)
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instantid =
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pipe.
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# --- Step 2: Optimize for ZeroGPU memory ---
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pipe.enable_attention_slicing()
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from diffusers import StableDiffusionImg2ImgPipeline
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from diffusers import StableDiffusionXLPipeline
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import io
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import os, sys, subprocess, warnings
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warnings.filterwarnings("ignore", category=UserWarning)
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os.environ["CUDA_VISIBLE_DEVICES"] = ""
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# --- Ensure InstantID is available ---
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if not os.path.exists("instantid"):
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print("🔄 Cloning InstantID repository...")
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subprocess.run(["git", "clone", "https://github.com/InstantID/InstantID.git"], check=True)
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if os.path.exists("InstantID") and not os.path.exists("instantid"):
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os.rename("InstantID", "instantid")
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sys.path.append(os.path.abspath("instantid"))
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from pipelines.pipeline_instantid import InstantIDPipeline
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import torchvision
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print("Printing Torch and TorchVision versions:")
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torch_dtype=torch.float16
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).to(device)
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instantid = InstantIDPipeline.from_pretrained("InstantID/InstantID", torch_dtype=torch.float16,)
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pipe.to("cuda" if torch.cuda.is_available() else "cpu")
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#pipe.load_ip_adapter(instantid)
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# --- Step 2: Optimize for ZeroGPU memory ---
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pipe.enable_attention_slicing()
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