Instructions to use gpustack/FLUX.1-lite-GGUF with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use gpustack/FLUX.1-lite-GGUF with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("gpustack/FLUX.1-lite-GGUF", 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 Settings
- Draw Things
- DiffusionBee

- Xet hash:
- 74ba9b6752fe3ee78b4a917812ebcd04d18a85d7651b6a8b5a1752988b65cfcd
- Size of remote file:
- 1.2 MB
- SHA256:
- 793ea3a164f83cf58e865999741d375068c5082faf22103c35dc79f5c633be47
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