Instructions to use Muapi/qagatria with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Muapi/qagatria 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/qagatria") 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/qagatria: direct link, hf CLI and curl.
- Browser
- Download file 151 kB
-
https://huggingface.co/Muapi/qagatria/resolve/main/preview.jpg
- Command line
-
hf download hf://Muapi/qagatria/preview.jpg
-
curl -L -o preview.jpg https://huggingface.co/Muapi/qagatria/resolve/main/preview.jpg
151 kB

- Xet hash:
- a4e9f4e304d9e9697eb779bc0b4ef0ea1d049cf2df561c2599c1b3e5c8c693b3
- Size of remote file:
- 151 kB
- SHA256:
- 2f76db2569fe9c3a5e05b4b196274942f5a6260c37985ac4dae81c4d59db37c0
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