Instructions to use LyliaEngine/Midjourney_Niji_Anime with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use LyliaEngine/Midjourney_Niji_Anime with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("OnomaAIResearch/Illustrious-xl-early-release-v0", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("LyliaEngine/Midjourney_Niji_Anime") prompt = "-" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
Midjourney_Niji_Anime

- Prompt
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- Prompt
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- Prompt
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Model description
TRIGGER: midniji, vibrant colors, detailed character design, dynamic poses
SOME QUALITY PROMPTS I USED: hdr, low contrast, masterpiece, best quality, absurdres, highres, perfect anatomy, perfect lighting, (sharp image), dynamic angle
Tested on all Illustrious models. I have not tested on any other.
Steps: 20-30 (use model recommendation / I trained on 24 steps)
Cfg: 7.0 (Use what is recommended by model)
Sampler: Euler_A
Scheduler: normal / simple / beta (may produce artifacts)
HIGH RES FIX: ((((HIGHLY recommend)))
Steps: 13
Denoise: 0.58
Upscale type: latent
Latent upscale: nearest_exact
Upscale by: 1.5
FOR UPSCALER: 4x RealESRGAN X PLUS
Daemon detailer (PLEASE USE IF YOU WANT EXTREME DETAIL 4K LIKE)
MY SETTINGS:
Face and hand detailer (Optional)
HAPPY GENERATIONS!
Source
Credit
https://civitai.com/user/QuestGlitch
Trigger words
You should use midniji to trigger the image generation.
You should use vibrant colors to trigger the image generation.
You should use detailed character design to trigger the image generation.
You should use dynamic poses 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 LyliaEngine/Midjourney_Niji_Anime
Base model
KBlueLeaf/kohaku-xl-beta5