Instructions to use ShadoWxShinigamI/mjstyle with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use ShadoWxShinigamI/mjstyle 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/mjstyle", 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
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Check out the documentation for more information.
I have seen a bunch of MJ Models flying around, but I couldn't get the --test aesthetic from them. So I went ahead and collected 35 images from midjourney gallery, flipped them, and trained a model for 7000 steps (640x640). Results were surprisingly pretty good and pretty customisable.
token used - mjstyle
Adding it to the end of the prompt gives best results.
E.g.:-
painting of a robotic snake, 4k, hd, by artgerm, by greg rutkowski in mjstyle, (Modular Origami) [ Euler a, CFG scale: 7, Seed: 4077618648, Size: 640x640 ]

painting of emma watson, 4k, hd, by artgerm, by greg rutkowski in mjstyle [ Euler a, CFG scale: 7, Seed: 4275282758, Size: 640x640 ]

painting of a cute panda in woollen sweater, pastel colours, unreal engine, volumetric lighting, octane render, 4k, hd, by artgerm, by greg rutkowski in mjstyle [ Steps: 28, Sampler: DPM2 a, CFG scale: 7, Seed: 4084558927, Size: 640x640 ]

painting of a cute panda in pink woollen sweater, pastel colours, unreal engine, volumetric lighting, octane render, 4k, hd, by artgerm, by greg rutkowski in mjstyle [ Steps: 28, Sampler: DPM2 a, CFG scale: 7, Seed: 1901722599, Size: 640x640 ]

painting of dwayne johnson in a mecha suit, steampunk, 4k, hd, by artgerm, by greg rutkowski in mjstyle [ Steps: 28, Sampler: Euler a, CFG scale: 7, Seed: 1626629762, Size: 640x640 ]
license: openrail
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