Instructions to use Kilgori/correct-yes-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Kilgori/correct-yes-model with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Kilgori/correct-yes-model", torch_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
- Xet hash:
- edd42799603a81ef80834bc04cd8f6d88898d5e2ddca4680547c40f9fcb8445f
- Size of remote file:
- 335 MB
- SHA256:
- 4a97c5b4d9397d8c84424ac9b39b90ba221715966a7c1e5b84094058a5744c40
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