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--- |
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license: creativeml-openrail-m |
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tags: |
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- text-to-image |
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- open-diffusion |
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- od-v3 |
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- openskyml |
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language: |
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- en |
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- fr |
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- ru |
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pipeline_tag: text-to-image |
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pinned: true |
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--- |
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# Open Diffusion V3 |
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Generate cool images with OpenDiffusion V3 (OD-v3) |
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## Model Details |
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### Model Description |
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- **Developed by:** [OpenSkyML](https://huggingface.co/openskyml) |
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- **Model type:** [Multimodal (Text-to-Image)](https://huggingface.co/models?pipeline_tag=text-to-image) |
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- **License:** [CreativeML-Openrail-m](https://huggingface.co/models?license=license%3Acreativeml-openrail-m) |
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### Model Sources |
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- **Repository:** [click](https://huggingface.co/openskyml/open-diffusion-v3/tree/main) |
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- **Demo [optional]:** In developed ... |
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## Uses |
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### In Free Inference API: |
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```py |
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import requests |
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HF_READ_TOKEN = "..." |
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API_URL = "https://api-inference.huggingface.co/models/openskyml/open-diffusion-v3" |
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headers = {"Authorization": f"Bearer {HF_READ_TOKEN}"} |
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def query(payload): |
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response = requests.post(API_URL, headers=headers, json=payload) |
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return response.content |
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image_bytes = query({ |
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"inputs": "Astronaut riding a horse", |
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}) |
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# You can access the image with PIL.Image for example |
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import io |
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from PIL import Image |
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image = Image.open(io.BytesIO(image_bytes)) |
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``` |
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### In Spaces: |
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```py |
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import gradio as gr |
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gr.load("models/openskyml/open-diffusion-v3").launch() |
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``` |
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