Instructions to use prompthero/openjourney-v4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use prompthero/openjourney-v4 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-v4", 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
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Download README.md from prompthero/openjourney-v4: direct link, hf CLI and curl.
- Browser
- Download file 384 Bytes
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https://huggingface.co/prompthero/openjourney-v4/resolve/refs%2Fpr%2F2/README.md
- Command line
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hf download hf://prompthero/openjourney-v4@refs/pr/2/README.md
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curl -L -o README.md https://huggingface.co/prompthero/openjourney-v4/resolve/refs%2Fpr%2F2/README.md
384 Bytes
metadata
license: creativeml-openrail-m
This repo is for testing the first Openjourney versions.
It was trained with 60.000 images, 4500 steps and 3 epochs.
Things to check in these .ckpt:
- Is the quality better that the Dreambooth version?
- "mdjrny-v4 style" should not be necessary anymore (yay!)
- Which .ckpt gives more quality?