Instructions to use Muapi/leonardo-davinci-style with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Muapi/leonardo-davinci-style 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("Muapi/leonardo-davinci-style") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee

- Xet hash:
- 3f5721cb29c3943eb7bdc09b5b0ee3030abc9dfd5579559dbd80c4bf27c2cefc
- Size of remote file:
- 145 kB
- SHA256:
- 4e5053a236112cd1dcabedf42e0382106c6e19c3ca7590d23fca500b7f90c319
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