Instructions to use Muapi/paco-gimenez with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Muapi/paco-gimenez 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/paco-gimenez") 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:
- 43682a793a549cb5e75b315c47758230cd1a988469f0ad8ff61186de4b77efd1
- Size of remote file:
- 209 kB
- SHA256:
- bd2fbe95dda8bda384a73ba2a1044b15257282fcb4c996343e0d2b385a5d8430
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