Instructions to use Muapi/cflux-anime with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Muapi/cflux-anime 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/cflux-anime") 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:
- f4182d618edcc0d1ddf1800abd2ef1a1894d30d375d6a41a43c5da3bdaaf3730
- Size of remote file:
- 213 kB
- SHA256:
- e7022943fc7db0b29c7a9cea76ba87b1eee3776f958b3260227e7ff74790f8ed
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