Instructions to use Kilgori/inisanium-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Kilgori/inisanium-model with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Kilgori/inisanium-model", 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
Inisanium-Model Dreambooth model trained by Kilgori with TheLastBen's fast-DreamBooth notebook
Test the concept via A1111 Colab fast-Colab-A1111
!!!IMPORTANT!!! Really NSFW Model use at your own risk!
This model can generate anything from furry futanari nsfw to kinda realistic human women. This model uses tags and you will be able to see the captions used if you download the captions zip. Its an unstable model. Clip skip changes the results substantially so use as you wish. Hard to use, bigger prompts = better images usually. It doesn't do sfw furries in my experience. DM me on discord if you want access to the images used to train this model. Kilgorio#6392 😁
Sample pictures of this concept:
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,_best_quality,_masterpiece,_highres,_original,_extremely_detailed_wallpaper,_looking_at_viewer,_(sitting_1.4),.png)


),_best_quality,_perfect_anatomy,_(1girl,_solo_focus_1.4),_pov,_looking_at_viewer,_flower_trim,(perspective,_sidew.png)



),_best_quality,_perfect_anatomy,_(1girl,_solo_focus_1.4),_pov,_looking_at_viewer,_flower_trim,(perspective,_sidew.png)




