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Running
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Zero
ResearcherXman
commited on
Commit
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2767034
1
Parent(s):
1d422fe
add spring festival style
Browse files- .DS_Store +0 -0
- app.py +4 -2
- style_template.py +5 -0
.DS_Store
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Binary file (6.15 kB)
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app.py
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@@ -36,7 +36,7 @@ MAX_SEED = np.iinfo(np.int32).max
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device = "cuda" if torch.cuda.is_available() else "cpu"
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dtype = torch.float16 if str(device).__contains__("cuda") else torch.float32
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STYLE_NAMES = list(styles.keys())
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DEFAULT_STYLE_NAME = "
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enable_lcm_arg = False
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# download checkpoints
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@@ -186,7 +186,7 @@ def get_example():
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"./examples/yann-lecun_resize.jpg",
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None,
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"a man",
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"
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"(lowres, low quality, worst quality:1.2), (text:1.2), watermark, (frame:1.2), deformed, ugly, deformed eyes, blur, out of focus, blurry, deformed cat, deformed, photo, anthropomorphic cat, monochrome, photo, pet collar, gun, weapon, blue, 3d, drones, drone, buildings in background, green",
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],
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[
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@@ -433,6 +433,8 @@ title = r"""
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description = r"""
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<b>Official 🤗 Gradio demo</b> for <a href='https://github.com/InstantID/InstantID' target='_blank'><b>InstantID: Zero-shot Identity-Preserving Generation in Seconds</b></a>.<br>
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How to use:<br>
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1. Upload an image with a face. For images with multiple faces, we will only detect the largest face. Ensure the face is not too small and is clearly visible without significant obstructions or blurring.
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2. (Optional) You can upload another image as a reference for the face pose. If you don't, we will use the first detected face image to extract facial landmarks. If you use a cropped face at step 1, it is recommended to upload it to define a new face pose.
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device = "cuda" if torch.cuda.is_available() else "cpu"
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dtype = torch.float16 if str(device).__contains__("cuda") else torch.float32
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STYLE_NAMES = list(styles.keys())
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DEFAULT_STYLE_NAME = "Spring Festival"
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enable_lcm_arg = False
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# download checkpoints
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"./examples/yann-lecun_resize.jpg",
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None,
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"a man",
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"Spring Festival",
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"(lowres, low quality, worst quality:1.2), (text:1.2), watermark, (frame:1.2), deformed, ugly, deformed eyes, blur, out of focus, blurry, deformed cat, deformed, photo, anthropomorphic cat, monochrome, photo, pet collar, gun, weapon, blue, 3d, drones, drone, buildings in background, green",
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],
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[
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description = r"""
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<b>Official 🤗 Gradio demo</b> for <a href='https://github.com/InstantID/InstantID' target='_blank'><b>InstantID: Zero-shot Identity-Preserving Generation in Seconds</b></a>.<br>
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We are organizing a Spring Festival event with HuggingFace from 2.7 to 2.25, and you can now generate pictures of Spring Festival costumes. Happy Dragon Year 🐲 ! Share the joy with your family.<br>
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How to use:<br>
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1. Upload an image with a face. For images with multiple faces, we will only detect the largest face. Ensure the face is not too small and is clearly visible without significant obstructions or blurring.
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2. (Optional) You can upload another image as a reference for the face pose. If you don't, we will use the first detected face image to extract facial landmarks. If you use a cropped face at step 1, it is recommended to upload it to define a new face pose.
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style_template.py
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@@ -4,6 +4,11 @@ style_list = [
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"prompt": "{prompt}",
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"negative_prompt": "",
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},
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{
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"name": "Watercolor",
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"prompt": "watercolor painting, {prompt}. vibrant, beautiful, painterly, detailed, textural, artistic",
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"prompt": "{prompt}",
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"negative_prompt": "",
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},
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{
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"name": "Spring Festival",
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"prompt": "Flat illustration, a Chinese {prompt}, ancient style, wearing a red cloth, smile face, white skin, clean background, fireworks blooming, red lanterns",
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"negative_prompt": "photo, deformed, black and white, realism, disfigured, low contrast, realistic, cropped, worst quality, missing fingers, extra digit, jpeg artifacts, signature, multiple, (lowres, low quality, worst quality:1.2)",
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},
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{
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"name": "Watercolor",
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"prompt": "watercolor painting, {prompt}. vibrant, beautiful, painterly, detailed, textural, artistic",
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