Instructions to use Muapi/rapha-l-vicenzi with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Muapi/rapha-l-vicenzi 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/rapha-l-vicenzi") 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
Download preview.jpg from Muapi/rapha-l-vicenzi: direct link, hf CLI and curl.
- Browser
- Download file 140 kB
-
https://huggingface.co/Muapi/rapha-l-vicenzi/resolve/main/preview.jpg
- Command line
-
hf download hf://Muapi/rapha-l-vicenzi/preview.jpg
-
curl -L -o preview.jpg https://huggingface.co/Muapi/rapha-l-vicenzi/resolve/main/preview.jpg
140 kB

- Xet hash:
- fb28d988bedfffd2907e6d2e89e793428836fee738126f9df5c475db5da68042
- Size of remote file:
- 140 kB
- SHA256:
- d14744578f9bc44da532a0ef869f7268bb1ec55b6baecefe5aee5e83f052a7d5
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