Text-to-Image
Diffusers
Safetensors
English
StableDiffusionPipeline
Anime
2D
Base Model
Barons
stable-diffusion
stable-diffusion-1.5
stable-diffusion-diffusers
Instructions to use Yntec/HELLmix with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Yntec/HELLmix 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/HELLmix", 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
metadata
license: creativeml-openrail-m
library_name: diffusers
pipeline_tag: text-to-image
tags:
- Anime
- 2D
- Base Model
- Barons
- stable-diffusion
- stable-diffusion-1.5
- stable-diffusion-diffusers
- text-to-image
language:
- en
inference: true
HELLmix
This model with the MoistMixV2VAE baked in.
Comparison:
(Click for larger)
Sample and prompt:
pretty cute girl holding hamburger, fries, masterpiece glass of soda, ketchup, salt. best quality, 4k, high quality, solo. contrast style.

