Instructions to use MHesho/KnY-Diffusion with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use MHesho/KnY-Diffusion with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("MHesho/KnY-Diffusion", 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:
- a1ed9c7de173820813a3748a8423eef879ee9b1a1c24566208c73839565214c7
- Size of remote file:
- 492 MB
- SHA256:
- 7cc7179aa45e6ed69e7c8c802e3adf27cbf43c7ee4e8da00864991b764cd66c9
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