Instructions to use Muapi/pascal-blanch with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Muapi/pascal-blanch 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/pascal-blanch") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download preview.jpg from Muapi/pascal-blanch: direct link, hf CLI and curl.
- Browser
- Download file 165 kB
-
https://huggingface.co/Muapi/pascal-blanch/resolve/main/preview.jpg
- Command line
-
hf download hf://Muapi/pascal-blanch/preview.jpg
-
curl -L -o preview.jpg https://huggingface.co/Muapi/pascal-blanch/resolve/main/preview.jpg
165 kB

- Xet hash:
- 2ea70d34e50a9c96d52d09a04441a046caf442784ecff63a5e23ce21f8828c57
- Size of remote file:
- 165 kB
- SHA256:
- d6cc7106edc511b1f5caab6681527442df0e0657b3025739a068377d6daacec9
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