Instructions to use Rainier123/MistoLine with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Rainier123/MistoLine with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Rainier123/MistoLine", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download assets/controlnet_1.png from Rainier123/MistoLine: direct link, hf CLI and curl.
- Browser
- Download file 16.8 kB
-
https://huggingface.co/Rainier123/MistoLine/resolve/main/assets/controlnet_1.png
- Command line
-
hf download hf://Rainier123/MistoLine/assets/controlnet_1.png
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curl -L -o controlnet_1.png https://huggingface.co/Rainier123/MistoLine/resolve/main/assets/controlnet_1.png
16.8 kB
