GamerC0der
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Browse files## View Via Code
README.md
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Weights for this model are available in Safetensors format.
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[Download](/GamerC0der/MiniDiffusion1/tree/main) them in the Files & versions tab.
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Weights for this model are available in Safetensors format.
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[Download](/GamerC0der/MiniDiffusion1/tree/main) them in the Files & versions tab.
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## Use Via Code!!!
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```python
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import requests
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API_URL = "https://api-inference.huggingface.co/models/GamerC0der/MiniDiffusion1"
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headers = {"Authorization": "Bearer INSERTKEYHERE"}
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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": prompthere,
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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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