Instructions to use Muapi/flux-retro with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Muapi/flux-retro 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-retro") 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:
- 0a04b783930d0418dce11f00037c3888a19b4ee86a2ef9aba78a72ff3d40452f
- Size of remote file:
- 407 kB
- SHA256:
- a3a9f8acfbabccf09cf06c44edb1f56d889f8fc0d184693bc7288d6c0d889025
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