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
| 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](https://github.com/ostris/ai-toolkit) | |