Instructions to use Muapi/frieren with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Muapi/frieren 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/frieren") 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/frieren: direct link, hf CLI and curl.
- Browser
- Download file 193 kB
-
https://huggingface.co/Muapi/frieren/resolve/main/preview.jpg
- Command line
-
hf download hf://Muapi/frieren/preview.jpg
-
curl -L -o preview.jpg https://huggingface.co/Muapi/frieren/resolve/main/preview.jpg
193 kB

- Xet hash:
- 5e8e0f24c10229154535b58b6d07b079b2e511c82bc9c1caf0dc6e2aef9e3c6b
- Size of remote file:
- 193 kB
- SHA256:
- 7260c173c14a4ae4cb869918996c6ae525705a00780602c650124f5fb10aa4e9
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