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 Settings
- Draw Things
- DiffusionBee
alu-art

- Prompt
- an aluminum decor painting describe the beauty of nature

- Prompt
- an aluminum decor painting describe the beauty of nature

- Prompt
- an aluminum decor painting describe the scene Lional Messi scores his 100th goal for Argentina national team

- Prompt
- an aluminum decor painting describe Workers moving bottles in carts, best quality movie scene
Model description
Trigger words
You should use aluminum to trigger the image generation.
Download model
Weights for this model are available in Safetensors format.
Download them in the Files & versions tab.
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Model tree for TDN-M/aluminum-art
Base model
black-forest-labs/FLUX.1-dev
