Text-to-Image
Diffusers
Safetensors
StableDiffusionPipeline
Anime
andite
stable-diffusion
stable-diffusion-diffusers
Instructions to use Yntec/HitenDiffusion with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Yntec/HitenDiffusion 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/HitenDiffusion", 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
File size: 726 Bytes
6887433 6e67b45 6887433 6e67b45 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 | ---
license: creativeml-openrail-m
library_name: diffusers
pipeline_tag: text-to-image
tags:
- Anime
- andite
- text-to-image
- stable-diffusion
- stable-diffusion-diffusers
- diffusers
---
# Hiten Diffusion
andite's Hiten model from https://huggingface.co/LMFResearchSociety/andite-finetunes-backup
Samples and prompt:


sitting girl, Pretty CUTE LITTLE, gorgeous hair, DETAILED CHIBI EYES, Magazine ad, iconic, 1943, sharp focus. acrylic art by ROSSDRAWS and Clay Mann and ilya kuvshinov |