Text-to-Image
Diffusers
ONNX
StableDiffusionPipeline
stable-diffusion
sd-1.5
hyper-sd
4-step
midjourney-style
Instructions to use Heliosoph/openjourney-hyper-onnx with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Heliosoph/openjourney-hyper-onnx with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Heliosoph/openjourney-hyper-onnx", 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
- Draw Things
- DiffusionBee
metadata
license: creativeml-openrail-m
library_name: diffusers
tags:
- stable-diffusion
- sd-1.5
- hyper-sd
- onnx
- text-to-image
- 4-step
- midjourney-style
base_model: prompthero/openjourney
pipeline_tag: text-to-image
Openjourney + Hyper-SD (4-step) — ONNX
ONNX export of prompthero/openjourney with the ByteDance/Hyper-SD 4-step LoRA fused into the UNet. SD 1.5 architecture, 512×512 native, Euler scheduler, CFG = 1, 4 steps.
Openjourney is prompthero's Midjourney-v4-style fine-tune. Activator phrase: mdjrny-v4 style. Pick this one when you want the painterly / illustrative "MJ look."
Converted artifact. Training credit: prompthero (Openjourney), ByteDance (Hyper-SD).
What this repo contains
model_index.json
feature_extractor/
scheduler/
text_encoder/
tokenizer/
unet/ # Openjourney UNet + Hyper-SD-15 4-step LoRA fused in
vae_decoder/
vae_encoder/
How it was produced
- Load
prompthero/openjourneyviadiffusers. - Fuse
ByteDance/Hyper-SD/Hyper-SD15-4steps-lora.safetensors. optimum-cli export onnx.
Toolchain: optimum 1.24.0, diffusers 0.31.0, transformers 4.45.2, torch 2.4.x (CUDA 12.4). Conversion script: scripts/export-openjourney-hyper.ps1.
Inference notes
| Setting | Value |
|---|---|
| Scheduler | Euler |
| Steps | 4 |
| CFG / guidance scale | 1.0 |
| Negative prompt | Skip |
| Resolution | 512×512 native |
| Activator | Include mdjrny-v4 style in prompts |
License
CreativeML OpenRAIL-M (SD 1.5 + Openjourney + Hyper-SD). License files included. By using this model you accept those terms.