Instructions to use vladmandic/Anima-1.0-Base-Merge-sdnq-hadamard-uint4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use vladmandic/Anima-1.0-Base-Merge-sdnq-hadamard-uint4 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("vladmandic/Anima-1.0-Base-Merge-sdnq-hadamard-uint4", 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
| XSym | |
| 0055 | |
| 5700bf6845f9ed85d344dd06631998a3 | |
| ../../../blobs/ac7bce1d4465f4f64309173e32efe69f9489583c | |