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 text_encoder/pytorch_model.bin from Yntec/animeSEXTILLION: direct link, hf CLI and curl.
- Browser
- Download file 492 MB
-
https://huggingface.co/Yntec/animeSEXTILLION/resolve/main/text_encoder/pytorch_model.bin
- Command line
-
hf download hf://Yntec/animeSEXTILLION/text_encoder/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/Yntec/animeSEXTILLION/resolve/main/text_encoder/pytorch_model.bin
492 MB
- Xet hash:
- f0fc05a6ae9c82ae9ffef2b8a2aa21bccd9afb67b0664bfa79f5ebbc91ffba8f
- Size of remote file:
- 492 MB
- SHA256:
- cf556a3980467d14dcb837838644b3257c479ba469f9301ee35d98c69a89ec20
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