Instructions to use Muapi/donna-young with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Muapi/donna-young 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/donna-young") 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:
- 15c8a3cf990af92795ebb294477314963762e87cf9aeb8c2f8ad7b739a7eaab7
- Size of remote file:
- 154 kB
- SHA256:
- cc5b9e7124e8062d1769ca044085263f9cf9c1c49f72f1aac35315961d27c4de
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