Instructions to use Muapi/panelki with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Muapi/panelki 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/panelki") 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/panelki: direct link, hf CLI and curl.
- Browser
- Download file 1.65 MB
-
https://huggingface.co/Muapi/panelki/resolve/main/preview.jpg
- Command line
-
hf download hf://Muapi/panelki/preview.jpg
-
curl -L -o preview.jpg https://huggingface.co/Muapi/panelki/resolve/main/preview.jpg
1.65 MB

- Xet hash:
- aeb82bd4fa75ccf83129c4e215cfa6132768130f599cc65fc4e9746dcf1a1677
- Size of remote file:
- 1.65 MB
- SHA256:
- 95d0156e1539a51092c409558437ec60657be18219135f2dc4e8eb811960d184
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