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Runtime error
Luis Oala
commited on
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28f8462
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Parent(s):
06e8e4d
fix
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LICENSE
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MIT License
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Copyright (c) 2021 OpenAI
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Permission is hereby granted, free of charge, to any person obtaining a copy
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of this software and associated documentation files (the "Software"), to deal
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in the Software without restriction, including without limitation the rights
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to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
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copies of the Software, and to permit persons to whom the Software is
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furnished to do so, subject to the following conditions:
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The above copyright notice and this permission notice shall be included in all
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copies or substantial portions of the Software.
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THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
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IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
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FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
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AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
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LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
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OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
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SOFTWARE.
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README.md
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---
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title:
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sdk: gradio
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app_file: app.py
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pinned: false
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---
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title: Glide Text2im
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emoji: 📊
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colorFrom: purple
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colorTo: gray
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sdk: gradio
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app_file: app.py
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pinned: false
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app.py
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model_and_diffusion_defaults_upsampler
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)
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"""
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credit: follows the gradio glide example by valhalla https://huggingface.co/spaces/valhalla/glide-text2im
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"""
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# print("Loading models...")
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# app = FastAPI()
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pil_image.save(buffered, format="JPEG")
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return base64.b64encode(buffered.getvalue())
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title = "glide
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description = "
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iface = gr.Interface(fn=sample,
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inputs=gr.inputs.Textbox(label='
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outputs=gr.outputs.Image(type="pil", label="
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title=title,
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description=description
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model_and_diffusion_defaults_upsampler
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)
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# print("Loading models...")
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# app = FastAPI()
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pil_image.save(buffered, format="JPEG")
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return base64.b64encode(buffered.getvalue())
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title = "Interactive demo: glide-text2im"
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description = "Demo for OpenAI's GLIDE: Towards Photorealistic Image Generation and Editing with Text-Guided Diffusion Models."
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article = "<p style='text-align: center'><a href='https://arxiv.org/abs/2112.10741'>GLIDE: Towards Photorealistic Image Generation and Editing with Text-Guided Diffusion Models</a> | <a href='https://github.com/openai/glide-text2im/'>Official Repo</a></p>"
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examples =["an oil painting of a corgi"]
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iface = gr.Interface(fn=sample,
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inputs=gr.inputs.Textbox(label='What would you like to see?'),
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outputs=gr.outputs.Image(type="pil", label="Model input + completions"),
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title=title,
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description=description,
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article=article,
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examples=examples,
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enable_queue=True)
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iface.launch(debug=True)
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server.py
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def to_base64(pil_image):
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buffered = BytesIO()
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pil_image.save(buffered, format="JPEG")
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return base64.b64encode(buffered.getvalue())
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def to_base64(pil_image):
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buffered = BytesIO()
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pil_image.save(buffered, format="JPEG")
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return base64.b64encode(buffered.getvalue())
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setup.py
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from setuptools import setup
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setup(
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name="glide-text2im",
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packages=["glide_text2im"],
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from setuptools import setup
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setup(
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name="glide-text2im",
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packages=["glide_text2im"],
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