Instructions to use TDN-M/aluminum-art with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use TDN-M/aluminum-art 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("TDN-M/aluminum-art") prompt = "an aluminum decor painting describe the beauty of nature" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
Add generated example
#2
by AlekseyCalvin - opened
Generated example for model TDN-M/aluminum-art.
Prompt: an aluminum decor painting describe Workers moving bottles in carts, best quality movie scene
AlekseyCalvin changed pull request status to closed
TDN-M changed pull request status to open
TDN-M changed pull request status to merged