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--- |
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license: other |
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license_name: sai-nc-community |
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license_link: https://huggingface.co/stabilityai/sdxl-turbo/blob/main/LICENSE.TXT |
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language: |
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- en |
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- ru |
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- fr |
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library_name: diffusers |
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pipeline_tag: text-to-image |
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tags: |
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- text2image |
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- sdxl |
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- sdlx-turbo |
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- turbo |
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- kviai |
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- stable diffusion xl |
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widget: |
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- text: astronaut riding a horse |
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output: |
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url: https://github.com/woctezuma/stable-diffusion-colab/wiki/img/astronaut_2xl.jpg |
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- text: a cute cat |
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output: |
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url: https://lh3.googleusercontent.com/proxy/mZL2Ls9NjwuvPaVlOKnHAl8wXlRzPwM0uH6Df5dWStLXVjMqK1ct2WP6kdJtUQyO-dfRHbMDp7K6CSBQWSZptABAJ2s3SHWGdjGYdzaZpjAB1cl4SBm8PQ |
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base_model: stabilityai/sdxl-turbo |
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instance_prompt: <lora:lcm-lora-sdxl-turbo:1> |
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--- |
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# SDXL-Turbo |
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It is lora fine-tuned model based on stabilityai/sdxl-turbo |
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## Examples |
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<Gallery /> |
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## Usage |
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You can use it via interface api: |
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```Python |
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import requests |
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import io |
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from PIL import Image |
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API_URL = "https://api-inference.huggingface.co/models/kviai/sdxl-turbo" |
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headers = {"Authorization": "Bearer YOUR_HF_API_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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image = Image.open(io.BytesIO(image_bytes)) |
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``` |
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Or you can download model from Files and Versions tab |
