Instructions to use windwhinny/chilloutmix with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use windwhinny/chilloutmix with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("windwhinny/chilloutmix", 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
π© Report : Legal issue(s)
#4
by SAAAAAAAA - opened
Possible re-host of ChilloutMix, which has been trained on children and nudity, hosted on pornography model depositories:
https://civitai.com/gallery/150291?reviewId=21940&infinite=false&returnUrl=%2Fmodels%2F6424%2Fchilloutmix
https://civitai.com/gallery/148165?reviewId=21519&infinite=false&returnUrl=%2Fmodels%2F6424%2Fchilloutmix
https://civitai.com/gallery/161972?reviewId=24195&infinite=false&returnUrl=%2Fmodels%2F6424%2Fchilloutmix
https://civitai.com/gallery/155982?reviewId=23051&infinite=false&returnUrl=%2Fmodels%2F6424%2Fchilloutmix