Instructions to use Muapi/chris-luka with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Muapi/chris-luka 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/chris-luka") 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/chris-luka: direct link, hf CLI and curl.
- Browser
- Download file 109 kB
-
https://huggingface.co/Muapi/chris-luka/resolve/main/preview.jpg
- Command line
-
hf download hf://Muapi/chris-luka/preview.jpg
-
curl -L -o preview.jpg https://huggingface.co/Muapi/chris-luka/resolve/main/preview.jpg
109 kB

- Xet hash:
- f268c522c9b07c16ba4d371c7bfc10fb7c33d07c464879303424faaf63a3ed27
- Size of remote file:
- 109 kB
- SHA256:
- 113e08d985defe0edaa8d6fbf1e28906f8983d12d79df05d95eb87e12d8f7b40
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