Instructions to use krystv/hestyle-diffusion with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use krystv/hestyle-diffusion with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("krystv/hestyle-diffusion", 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
tags:
- text-to-image
- stable-diffusion
- art
- style
language:
- en
heStyle-Diffusion
Is a Dreamboothed model of runway_1-5v stable diffusion model. Trained on some beautiful anime images online speciallly for Room interior and Wallpapers.
Trigger Word(Otional):
hestyle may be useful in cases where model behave something else.
๐ Send me Query at :
You can test the concept via A1111 Colab fast-Colab-A1111









