Instructions to use Muapi/pointillism with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Muapi/pointillism 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/pointillism") 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/pointillism: direct link, hf CLI and curl.
- Browser
- Download file 104 kB
-
https://huggingface.co/Muapi/pointillism/resolve/main/preview.jpg
- Command line
-
hf download hf://Muapi/pointillism/preview.jpg
-
curl -L -o preview.jpg https://huggingface.co/Muapi/pointillism/resolve/main/preview.jpg
104 kB

- Xet hash:
- 51a92b493d80363e97a7d0807a3d6d9f1c4bdd06bf0875240cc8bdbfee13475d
- Size of remote file:
- 104 kB
- SHA256:
- 95723db35698a9c1bcdba7c84cb1b0c6cd61e4bf6c4a286052b9c970dded7810
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