Instructions to use henzo676/_mc_davi with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use henzo676/_mc_davi with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Gazingstars123/Anima-2.9B", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("henzo676/_mc_davi") prompt = "-" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Downloads last month
- -
Model tree for henzo676/_mc_davi
Base model
nvidia/Cosmos-Predict2-2B-Text2Image Finetuned
circlestone-labs/Anima Finetuned
Gazingstars123/Anima-2.9B