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README.md
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Compared to AuraFlow-v0.2, the model is fine-tuned on more aesthetic datasets and now supports various aspect ratio, (now width and height up to 1536 pixels).
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This model achieves state-of-the-art results on GenEval. Read our [blog post](https://blog.fal.ai/auraflow/) for more technical details. You can also check out the comparison with other models on this gallery [page](https://cloneofsimo.github.io/compare_aura_sd3/).
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The model is currently in beta. We are working on improving it and the community's feedback is important.
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Join [fal's Discord](https://discord.gg/fal-ai) to give us feedback and stay in touch with the model development.
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Credits: A huge thank you to [@cloneofsimo](https://twitter.com/cloneofsimo) and [@isidentical](https://twitter.com/isidentical) for bringing this project to life. It's incredible what two cracked engineers can achieve in
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such a short period of time. We also extend our gratitude to the incredible researchers whose prior work laid the foundation for our efforts.
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## Usage
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```bash
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import torch
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pipeline = AuraFlowPipeline.from_pretrained(
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"
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torch_dtype=torch.float16,
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variant="fp16",
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).to("cuda")
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Compared to AuraFlow-v0.2, the model is fine-tuned on more aesthetic datasets and now supports various aspect ratio, (now width and height up to 1536 pixels).
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## Usage
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```bash
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import torch
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pipeline = AuraFlowPipeline.from_pretrained(
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"terminusresearch/auraflow-v0.3",
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torch_dtype=torch.float16,
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variant="fp16",
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).to("cuda")
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