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
- Draw Things
- DiffusionBee
anime SEXTILLION
A mix of animeTWO and animeTEN, both by realisticElves, to bring my favorite things from both into the party! animeSEXTILLION has the zVae baked in.
Comparison:
(Click for larger)
Sample and prompt:
Pretty CUTE LITTLE Girl and Dave Rapoza, Cartoon, sitting on a box of bottles, holding antique bottle, DETAILED CHIBI EYES, gorgeous detailed hair, Magazine ad, iconic, 1940, sharp focus. Illustration By KlaysMoji and artgerm and Clay Mann and and leyendecker
Original pages:
https://civitai.com/models/40245?modelVersionId=45715 (animeTWO)
https://civitai.com/models/144023?modelVersionId=160609 (animeTEN)
Recipe
- SuperMerger Weight sum MBW 0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,1,1,1,1,1,1,1,1,1,1,1
Model A:
AnimeTWO
Model B:
AnimeTEN
Output:
AnimeSEXTILLION
- fp16 nom-ema
Output:
AnimeSEXTILLIONmini
- Bake in zVae
Output:
AnimeSEXTILLIONz
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