Instructions to use Muapi/paintbrush with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Muapi/paintbrush 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/paintbrush") 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/paintbrush: direct link, hf CLI and curl.
- Browser
- Download file 220 kB
-
https://huggingface.co/Muapi/paintbrush/resolve/main/preview.jpg
- Command line
-
hf download hf://Muapi/paintbrush/preview.jpg
-
curl -L -o preview.jpg https://huggingface.co/Muapi/paintbrush/resolve/main/preview.jpg
220 kB

- Xet hash:
- 2ad13d84963691bf2fa92b7505f4d37567f28e1b9bea3c99cbd1171f446296f3
- Size of remote file:
- 220 kB
- SHA256:
- 2dac58ae4236f737402345951b0b6922365ea07b8efe574dd420a58d092c24a3
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