Text-to-Image
Diffusers
Safetensors
English
StableDiffusionPipeline
anime
comic
art
stable-diffusion
stable-diffusion-diffusers
BetterThanNothing
Instructions to use Yntec/Toonify2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Yntec/Toonify2 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Yntec/Toonify2", 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:
- b0519fba17689a5077111c5d8d761860f3f45d4dcf21961b88f8a869e801edfc
- Size of remote file:
- 246 MB
- SHA256:
- a79d5dd207bed2342915c54d9f9f02fa9a0a60d3f63689580630432222c1f6f5
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