Instructions to use StarkEater/NyteTydeAnima12052026 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use StarkEater/NyteTydeAnima12052026 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("StarkEater/NyteTydeAnima12052026", 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
Trained with 1024 and 512 simultaneously.
Fully finetuned from Anima-Preview-3.
No need for trigger word.
No separate face folder.
Some tags have been protected.
The original Qwen-Image VAE has been used.
Edit: Trained with only tags, so you might face bad performance when using natural language.
Edit1: Used 2.2e-6 LR with Silvelter's Lion8bitSR optimizer. Anima is chicken, so the model got burnt. The same LR works great on NoobAI XL vpred 1.0, Mugen and SIH.
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Model tree for StarkEater/NyteTydeAnima12052026
Base model
nvidia/Cosmos-Predict2-2B-Text2Image Finetuned
circlestone-labs/Anima