Instructions to use Jovie/Midjourney_Schnell with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Jovie/Midjourney_Schnell with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("black-forest-labs/FLUX.1-schnell", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("Jovie/Midjourney_Schnell") prompt = "cat in cyborg suit" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
mj model style

- Prompt
- cat in cyborg suit

- Prompt
- cat in cyborg suit

- Prompt
- cat in cyborg suit
Model description
Trigger words
You should use `` to trigger the image generation.
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 Jovie/Midjourney_Schnell
Base model
black-forest-labs/FLUX.1-schnell