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 pascal-blanch.safetensors from Muapi/pascal-blanch: direct link, hf CLI and curl.
- Browser
- Download file 19.3 MB
-
https://huggingface.co/Muapi/pascal-blanch/resolve/main/pascal-blanch.safetensors
- Command line
-
hf download hf://Muapi/pascal-blanch/pascal-blanch.safetensors
-
curl -L -o pascal-blanch.safetensors https://huggingface.co/Muapi/pascal-blanch/resolve/main/pascal-blanch.safetensors
19.3 MB
- Xet hash:
- 6297a350f90f0c3562066fb5a3b2cf1de8a7e3686512bd8aceca5fb7fdb3dddb
- Size of remote file:
- 19.3 MB
- SHA256:
- b3b59d99dfd4ab4c91b7cc3d1caa183cbc36be612e4f71518ba0d9014c9861c2
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