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Doron Adler
commited on
Commit
β’
b674e2f
1
Parent(s):
e5d2e00
Updated text, increased input size to 512x512
Browse files
app.py
CHANGED
@@ -49,7 +49,7 @@ def img_concat_h(im1, im2):
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import gradio as gr
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def
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img: Image.Image,
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size: int
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) -> Image.Image:
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@@ -77,13 +77,13 @@ import scipy.ndimage
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import requests
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def inference(img):
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out =
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return out
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title = "Comics hero"
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description = "Turn a face into the face of a \"Comics hero\". Upload an image with a face, or click on one of the examples below. If a face could not be detected,
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article = "<p style='text-align: center'
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examples=[['Example00001.jpg'],['Example00002.jpg'],['Example00003.jpg'],['Example00004.jpg'],['Example00005.jpg'], ['Example00006.jpg']]
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gr.Interface(inference, gr.inputs.Image(type="pil",shape=(
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import gradio as gr
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def face2hero(
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img: Image.Image,
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size: int
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) -> Image.Image:
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import requests
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def inference(img):
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out = face2hero(img, 512)
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return out
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title = "Comics hero"
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description = "Turn a face into the face of a \"Comics hero\". Upload an image with a face, or click on one of the examples below. If a face could not be detected, an image will still be created."
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article = "<hr><p style='text-align: center'>See the <a href='https://github.com/justinpinkney/pix2pixHD' target='_blank'>Github Repo</a></p><p style='text-align: center'>samples: <img src='https://hf.space/gradioiframe/Norod78/ComicsHero/file/Sample00001.jpg' alt='Sample00001'/><img src='https://hf.space/gradioiframe/Norod78/ComicsHero/file/Sample00002.jpg' alt='Sample00002'/><img src='https://hf.space/gradioiframe/Norod78/ComicsHero/file/Sample00003.jpg' alt='Sample00003'/><img src='https://hf.space/gradioiframe/Norod78/ComicsHero/file/Sample00004.jpg' alt='Sample00004'/><img src='https://hf.space/gradioiframe/Norod78/ComicsHero/file/Sample00005.jpg' alt='Sample00005'/></p><p>The \"Comics Hero\" model was trained using Pix2PixHD by <a href='https://linktr.ee/Norod78' target='_blank'>Doron Adler</a></p>"
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examples=[['Example00001.jpg'],['Example00002.jpg'],['Example00003.jpg'],['Example00004.jpg'],['Example00005.jpg'], ['Example00006.jpg']]
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gr.Interface(inference, gr.inputs.Image(type="pil",shape=(512,512)), gr.outputs.Image(type="pil"),title=title,description=description,article=article,examples=examples,enable_queue=True).launch()
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