Instructions to use lunita123/luna-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use lunita123/luna-lora with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("emilianJR/chilloutmix_NiPrunedFp32Fix", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("lunita123/luna-lora") prompt = "-" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
luna12.safetensors

- Prompt
- -
Model description
LoRA β luna12
Este es un modelo LoRA entrenado sobre Stable Diffusion 1.5 (checkpoint ChilloutMix_NiPrunedFp32Fix).
Se recomienda usar con un weight entre 0.6 β 0.9 para mejores resultados.
π Colocar en: /ComfyUI/models/loras/
π Licencia: CreativeML OpenRAIL-M
Trigger words
You should use luna12 to trigger the image generation.
Download model
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emilianJR/chilloutmix_NiPrunedFp32Fix