Text-to-Image
Diffusers
Safetensors
StableDiffusionPipeline
Anime
Chibi
General
realisticElves
stable-diffusion
stable-diffusion-diffusers
Instructions to use Yntec/animeSEXTILLION with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Yntec/animeSEXTILLION 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/animeSEXTILLION", 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 vae/diffusion_pytorch_model.bin from Yntec/animeSEXTILLION: direct link, hf CLI and curl.
- Browser
- Download file 335 MB
-
https://huggingface.co/Yntec/animeSEXTILLION/resolve/main/vae/diffusion_pytorch_model.bin
- Command line
-
hf download hf://Yntec/animeSEXTILLION/vae/diffusion_pytorch_model.bin
-
curl -L -o diffusion_pytorch_model.bin https://huggingface.co/Yntec/animeSEXTILLION/resolve/main/vae/diffusion_pytorch_model.bin
335 MB
- Xet hash:
- 14ab1ff188ed44f9135a7d285e457347d56a6db5111bdd8b8a2260e610df5f4e
- Size of remote file:
- 335 MB
- SHA256:
- 5974b83b62d4c924e8d9b3730a6b003aa5a3be5911484e986c56847d821df125
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