Spaces:
Running
on
Zero
Running
on
Zero
Commit
·
38274da
1
Parent(s):
c3b82c2
update to safetensors
Browse files- app.py +2 -1
- requirements.txt +2 -1
app.py
CHANGED
@@ -14,7 +14,7 @@ from utils import align_face
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base_model_path = "stabilityai/stable-diffusion-xl-base-1.0"
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image_encoder_path = snapshot_download("orpatashnik/NestedAttentionEncoder", allow_patterns=["image_encoder/**"])
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image_encoder_path = os.path.join(image_encoder_path, "image_encoder")
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-
personalization_ckpt = hf_hub_download("orpatashnik/NestedAttentionEncoder", "personalization_encoder/pytorch_model.
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device = "cuda"
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# Special token settings
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@@ -46,6 +46,7 @@ guidance_scale = 5.0
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# ----------------------
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# Inference function with alignment
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# ----------------------
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def generate_images(img1, img2, img3, prompt, w, num_samples, seed):
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# Collect non-empty reference images
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refs = [img for img in (img1, img2, img3) if img is not None]
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base_model_path = "stabilityai/stable-diffusion-xl-base-1.0"
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image_encoder_path = snapshot_download("orpatashnik/NestedAttentionEncoder", allow_patterns=["image_encoder/**"])
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image_encoder_path = os.path.join(image_encoder_path, "image_encoder")
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+
personalization_ckpt = hf_hub_download("orpatashnik/NestedAttentionEncoder", "personalization_encoder/pytorch_model.safetensors")
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device = "cuda"
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# Special token settings
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# ----------------------
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# Inference function with alignment
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# ----------------------
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+
@spaces.GPU
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def generate_images(img1, img2, img3, prompt, w, num_samples, seed):
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# Collect non-empty reference images
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refs = [img for img in (img1, img2, img3) if img is not None]
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requirements.txt
CHANGED
@@ -8,4 +8,5 @@ einops
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scipy
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accelerate
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insightface
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-
onnxruntime
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scipy
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accelerate
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insightface
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+
onnxruntime
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+
safetensors
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