Instructions to use bunnycore/Chroma-Aesthetic with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use bunnycore/Chroma-Aesthetic with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("lodestones/Chroma1-Base", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("bunnycore/Chroma-Aesthetic") 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
|
Download README.md from bunnycore/Chroma-Aesthetic: direct link, hf CLI and curl.
- Browser
- Download file 471 Bytes
-
https://huggingface.co/bunnycore/Chroma-Aesthetic/resolve/main/README.md
- Command line
-
hf download hf://bunnycore/Chroma-Aesthetic/README.md
-
curl -L -o README.md https://huggingface.co/bunnycore/Chroma-Aesthetic/resolve/main/README.md
471 Bytes
metadata
tags:
- text-to-image
- lora
- diffusers
- template:sd-lora
- ai-toolkit
base_model: lodestones/Chroma1-Base
license: creativeml-openrail-m
inference:
parameters:
width: 1024
height: 1024
chroma_art-lora
This Lora model designed to enhance the visual aesthetics of generated images, specifically for anime, digital art, paintings, wallpapers, and cinematic imagery.
Model trained with AI Toolkit by Ostris