How to use from the
Use from the
Diffusers library
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]

##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

00000-308108073.png 00002-796273855.png 00003-796273856.png

Prompt :- mdjrny-pprct samurai warrior

00000-2576409651.png 00001-2576409652.png 00002-2576409653.png

Prompt :- mdjrny-pprct landscape

00002-1341213833.png 00003-1341213834.png

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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