Instructions to use ShowDanilsh/Lustly-Max with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use ShowDanilsh/Lustly-Max 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-schnell", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("ShowDanilsh/Lustly-Max") prompt = "Lizard on sand and rocks" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 82f6e7532a9212a55987dff80a6d4de9fbe18242d7e6d694d5e4f90c78c87719
- Size of remote file:
- 246 MB
- SHA256:
- 2258e35b5d3780df51613b3379aa80aba3ff83fbaa715568ebed2bf3bb6bf99a
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