Instructions to use SedatAl/Rusty-Metal-Flux-Lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use SedatAl/Rusty-Metal-Flux-Lora 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("SedatAl/Rusty-Metal-Flux-Lora") prompt = "texture a close up of a rusty metal surface with a lot of rust on it. The surface is covered in a variety of colors, ranging from yellow to brown, and the rust is visible on the surface" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
Add generated example
#2
by SedatAl - opened
Generated example for model SedatAl/Rusty-Metal-Flux-Lora.
Prompt: texture a close up of a rusty metal surface with a lot of rust on it. The metal is a deep gree and red color, indicating that it has been exposed to the elements for some time
SedatAl changed pull request status to merged