Instructions to use wssdaas/nova-anime-am-v3.0a with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use wssdaas/nova-anime-am-v3.0a with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("wssdaas/nova-anime-am-v3.0a", 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
Original Model Architecture at https://huggingface.co/circlestone-labs/Anima-Base-v1.0-Diffusers
Original DiT checkpoint at https://civitai.com/models/2604424/nova-anime-am?modelVersionId=3145814
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Model tree for wssdaas/nova-anime-am-v3.0a
Base model
nvidia/Cosmos-Predict2-2B-Text2Image Finetuned
circlestone-labs/Anima