Instructions to use ostris/color-temperature-slider-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use ostris/color-temperature-slider-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("runwayml/stable-diffusion-v1-5", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("ostris/color-temperature-slider-lora") prompt = "photo of a woman in a movie theatre, curled up in her chair, in a cashmere sweater, black rim glasses, eating popcorn and a soda, laughing, award winning photo, projector light above her , light brown hair " image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
Ctrl+K