Instructions to use Muapi/flux-latte with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Muapi/flux-latte with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("black-forest-labs/FLUX.1-dev", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("Muapi/flux-latte") 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

- Xet hash:
- 3318a2f2c78e85bd18e64a0a6378d2240f8d5f1eca92b2d604605b5ad6a8f213
- Size of remote file:
- 1.1 MB
- SHA256:
- be10e003175655d69ba8b83d427fb2018ca8e56497c48f64d5c4c15fd9802487
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