Instructions to use fal/AuraFlow with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use fal/AuraFlow with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("fal/AuraFlow", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
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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 and @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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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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