Instructions to use jimmycarter/LibreFlux-SimpleTuner with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use jimmycarter/LibreFlux-SimpleTuner with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("jimmycarter/LibreFlux-SimpleTuner", 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
- Local Apps
- Draw Things
- DiffusionBee
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license: apache-2.0
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This is a SimpleTuner friendly version of [LibreFLUX](https://huggingface.co/jimmycarter/LibreFLUX).
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license: apache-2.0
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This is a SimpleTuner friendly version of [LibreFLUX](https://huggingface.co/jimmycarter/LibreFLUX). Remember to add `--flux_attention_masked_training` to your `config.json`.
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