Instructions to use prompthero/openjourney with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use prompthero/openjourney 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", dtype=torch.bfloat16, device_map="cuda") 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
Using colab dreamobooth to train new images with this model?
Hello I am trying to get my images trained in dreambooth colab notebook but I don't get very good results importing the model in automatic1111 as I did with old dreambooth notebooks using compvis stable diffusion 1.4 model (if I use the original mdjrny-v4.ckpt the images are vey good, also if not very precise with the prompt). Are there any recommandations to train this model with new images? I think the midjouney style looks very nice and getting the images I choose in the result would be good.
I just want say that is possible to train your images with this model throught fast dreambooth using the right configuration. One important thing is to uncheck fp16 because all outputs will come out glitched
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