Instructions to use hf-internal-testing/tiny-flux3-image-modular with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use hf-internal-testing/tiny-flux3-image-modular with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("hf-internal-testing/tiny-flux3-image-modular", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
Commit History
24 days ago
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add the prompt upsampler components (tiny-flux3-prompt-upsampler)
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28 days ago
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tiny FLUX.3 image modular repo for dreambooth-lora example tests
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initial commit
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