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README.md
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inference: false
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---
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```py
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from handler import EndpointHandler
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image.save("image.png")
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```
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![](./image.png)
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inference: false
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---
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> [!IMPORTANT]
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> This repo duplicates the [Stable Diffusion 3.5 Large](https://huggingface.co/stabilityai/stable-diffusion-3.5-large) weights for demonstration purposes and it doesn't own any credits to the model. So, please be mindful of that and respect the original license of the model.
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```py
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from handler import EndpointHandler
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image.save("image.png")
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```
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![](./image.png)
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We can use this repo to deploy SD3.5 Large on [Inference Endpoints](https://huggingface.co/docs/inference-endpoints) as well.
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```py
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import json
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import requests
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import base64
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from PIL import Image
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from io import BytesIO
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ENDPOINT_URL = ""
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HF_TOKEN = ""
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def decode_base64_image(image_string):
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base64_image = base64.b64decode(image_string)
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buffer = BytesIO(base64_image)
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return Image.open(buffer).save("image.png")
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def predict(prompt: str = "a dog waiting for its companion to come."):
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payload = {"inputs": {"prompt": prompt}}
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response = requests.post(ENDPOINT_URL, headers={"Authorization": f"Bearer {HF_TOKEN}"}, json=payload)
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resp = response.json()
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return decode_base64_image(resp)
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prediction = predict(prompt="the first animal on the mars")
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```
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This is how the final image would look like:
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