Instructions to use furaidosu/flux-lora-rtmi with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use furaidosu/flux-lora-rtmi 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("furaidosu/flux-lora-rtmi") prompt = "RTMI style. Guybrush threepwood, a tall man with blonde hair, wearing a blue pirate coat with gold accents. He has a white shirt underneath, a belt with a gold buckle, and dark pants. His expression is thoughtful, and he has a slight stubble on his face, adding to his adventurous appearance. Guybrush is programming with many computers. Cyberpunk style." image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee

- Xet hash:
- 6214df2a981f115a02c6e85ba5ac8b329e737426cc71ca72f42d92fe9e87cd90
- Size of remote file:
- 1.57 MB
- SHA256:
- fbed71f4b6fe4dd9450fb2cb972d1dc08c8e7a324653814f452a6de80d9cf45c
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.