Instructions to use Muapi/raphaelz with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Muapi/raphaelz 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/raphaelz") 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:
- 68fd3785d8265268bb27fc964619dad6b2410bcd3c092b5e61f8dabce9ffc18a
- Size of remote file:
- 666 kB
- SHA256:
- f0068acd2e206066bd4dc4be16589700a40a8854e7011b1a44fb4b39e9f9d0e5
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