Instructions to use Muapi/blahaj with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Muapi/blahaj 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/blahaj") 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/blahaj: direct link, hf CLI and curl.
- Browser
- Download file 174 kB
-
https://huggingface.co/Muapi/blahaj/resolve/main/preview.jpg
- Command line
-
hf download hf://Muapi/blahaj/preview.jpg
-
curl -L -o preview.jpg https://huggingface.co/Muapi/blahaj/resolve/main/preview.jpg
174 kB

- Xet hash:
- dd880e618393e10f9dd16789eed1c6cb5f076c82a69c0bd7a328edffec55f941
- Size of remote file:
- 174 kB
- SHA256:
- 7a79a96dcdf1b1f058a22ed16a1cb61d19243fb3181f470ed59e7c52acd18b04
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