Instructions to use darask0/anima-distill-loras with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use darask0/anima-distill-loras with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("circlestone-labs/Anima", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("darask0/anima-distill-loras") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee

- Xet hash:
- 0557d5fb6d6ff3be31a82a11e9968b2f6fbd85092e0656b7486b92eb8da40fc0
- Size of remote file:
- 1.5 MB
- SHA256:
- d1aa01838faeb5ec005fb5ac160b8744363455e51a614887d61f4b489d2acdb0
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