Instructions to use realrebelai/RebelReal_LoRA_Collection with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use realrebelai/RebelReal_LoRA_Collection with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("fill-in-base-model", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("realrebelai/RebelReal_LoRA_Collection") 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: apache-2.0
library_name: diffusers
pipeline_tag: text-to-image
tags:
- lora
- text-to-image
RebelReal LoRA Collection
(Left = WITHOUT LoRA | Right = WITH LoRA -- 1.0 strength)
My collection of RebelReal LoRAs.
This lora is a detail enhancer and aesthetic booster. Lighting becomes more "alive" and vibrant while pushing the aesthetic of the prompt, and details become enhanced and provide an overall vibe to every image that you wont get from the regular model alone.
LOWER VALUES WORK BEST! 0.2 - 0.8 is where i recommend you play around.