Model card
OpenJourney v4 is a specialized fine-tuned Stable Diffusion model engineered to replicate the high-fidelity aesthetic and stylistic nuance typically associated with Midjourney. For developers building generative art pipelines or creative tooling, this model bridges the gap between open-source flexibility and premium commercial output. With 860M parameters, it is optimized for high-quality text-to-image synthesis, focusing on complex lighting, texture rendering, and compositional depth. Unlike base SD models that often require extensive prompt engineering to achieve professional results, OpenJourney v4 is tuned to interpret descriptive natural language more effectively. It integrates seamlessly into existing Diffusers workflows and ComfyUI environments, making it a practical choice for developers looking to implement sophisticated image generation without the restrictive API constraints or costs of proprietary closed-source models.
Model files and versions
Download this model
We recommend using the ModelScope CLI or SDK. Install ModelScope first, then choose a full snapshot, single file, SDK or Git LFS workflow.
prompthero/openjourney-v4Install the CLI and SDK dependency before downloading.
pip install modelscopeDownload the complete weights, configuration and model card.
modelscope download --model prompthero/openjourney-v4README.md is used as an example; replace it with another repository file when needed.
modelscope download --model prompthero/openjourney-v4 README.md --local_dir ./dirUseful in Python projects and automation scripts.
from modelscope import snapshot_download
model_dir = snapshot_download('prompthero/openjourney-v4')Make sure Git LFS is installed correctly.
git lfs install
git clone https://www.modelscope.cn/prompthero/openjourney-v4.gitFetch the repository structure first, then pull large files when needed.
GIT_LFS_SKIP_SMUDGE=1 git clone https://www.modelscope.cn/prompthero/openjourney-v4.gitHow to use
- 01Step 1
Read the model card and source information.
- 02Step 2
Start with a small, non-sensitive evaluation.
- 03Step 3
Review quality, licensing and usage limits.
- 04Step 4
Adopt it only after validation.
Discussions
Use this space to keep checking source information, usage experience and maintenance status.
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