Instructions to use prompthero/openjourney-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use prompthero/openjourney-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("prompthero/openjourney-lora", dtype=torch.bfloat16, device_map="cuda") prompt = "sksdog" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
Openjourney LoRA - by PromptHero
These are LoRA adaption weights for Openjourney trained by @JHawkk
Openjourney Links
Want to learn AI art generation?:
How to use LoRA's in auto1111:
- Update webui (use git pull like here or redownload it)
- Copy the file to stable-diffusion-webui/models/lora
- Select your LoRA like in this video
- Make sure to change the weight (by default it's :1 which is usually too high)
Examples:
- Downloads last month
- 131
Model tree for prompthero/openjourney-lora
Base model
stabilityai/stable-diffusion-2-1-base


