Instructions to use Muapi/flat-portrait with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Muapi/flat-portrait 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/flat-portrait") 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/flat-portrait: direct link, hf CLI and curl.
- Browser
- Download file 115 kB
-
https://huggingface.co/Muapi/flat-portrait/resolve/main/preview.jpg
- Command line
-
hf download hf://Muapi/flat-portrait/preview.jpg
-
curl -L -o preview.jpg https://huggingface.co/Muapi/flat-portrait/resolve/main/preview.jpg
115 kB

- Xet hash:
- 2806f8db8ea35989b11dfcd57626c5f30a17a937298f49b9f7c141782cfc6ac5
- Size of remote file:
- 115 kB
- SHA256:
- 68f610632b5609c055b9e317729aacb4d9dd2785c596dba393e073be088877e7
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