Instructions to use LyliaEngine/anima-highres-aesthetic-boost with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use LyliaEngine/anima-highres-aesthetic-boost with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("LyliaEngine/anima_baseV10", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("LyliaEngine/anima-highres-aesthetic-boost") prompt = "-" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
anima-highres-aesthetic-boost

- Prompt
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Model description
Showcase images are base model (left) vs LoRA (right).
This LoRA does two things:
Allows generating at higher resolutions. 1536 works without any major issues, and even 2048 (4 MP) now works without completely falling apart.
Slight aesthetic increase toward higher-quality images.
It is trained on 10,000 high rated Danbooru images, with mixed-res training at [512, 1024, 1536] resolutions. The images are sampled to have a more even balance of SFW/NSFW and male/female (because otherwise, selecting on ratings only, you would get almost 100% NSFW female). The aesthetic boost is fairly weak, and is prompt dependent. It is not targeting any particular aesthetic, but simply "high rated Danbooru images", so there is still a lot of stylistic diversity, and hence the LoRA's effect is subtle.
Trigger words
You should use None to trigger the image generation.
Source
https://civitai.red/models/2540444/anima-highresaesthetic-boost?modelVersionId=2855073
Credit
https://civitai.red/user/circlestone_labs
Download model
Download them in the Files & versions tab.
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Model tree for LyliaEngine/anima-highres-aesthetic-boost
Base model
nvidia/Cosmos-Predict2-2B-Text2Image