Text-to-Image
Diffusers
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stable-diffusion
midjourney
mj-style
lora
template:sd-lora
openskyml
Instructions to use openskyml/midjourney-v4-xl with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use openskyml/midjourney-v4-xl with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Lykon/dreamshaper-7", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("openskyml/midjourney-v4-xl") prompt = "Chromatic Maestro: An abstract character portrait of a talented musician, with his face immersed in a whirlwind of chromatic colors and musical notes. The artist's use of bold brushstrokes and abstract musical symbols captures the character's passion and artistic spirit" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
Midjourney-V4 XL

- Prompt
- Chromatic Maestro: An abstract character portrait of a talented musician, with his face immersed in a whirlwind of chromatic colors and musical notes. The artist's use of bold brushstrokes and abstract musical symbols captures the character's passion and artistic spirit
Model description
Try a model very similar to Midjourney-V4.
Download model
Weights for this model are available in Safetensors format.
Download them in the Files & versions tab.
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Model tree for openskyml/midjourney-v4-xl
Base model
Lykon/dreamshaper-7