Instructions to use ShadoWxShinigamI/MidJourney-PaperCut with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use ShadoWxShinigamI/MidJourney-PaperCut with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("ShadoWxShinigamI/MidJourney-PaperCut", 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
##MODEL BY ShadoWxShinigamI
Use Token - mdjrny-pprct at the beginning of your prompt
Training - 7000 steps, v1-5 Base, 56 images
Examples:-
Prompt :- mdjrny-pprct eagle
Prompt :- mdjrny-pprct samurai warrior
Prompt :- mdjrny-pprct landscape
As you can see from the examples, a lot of prompt engineering is not required. Just a simple description of what you want generated after the token will suffice.
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