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:
- 4bc984cce26a689b5b433b2a8a1f55d1110c43dc49f396d4cc4d23e69b723d93
- Size of remote file:
- 145 MB
- SHA256:
- c625935ef153cc2c7ce5e3a7e44910e731239e53a0a9402bca4271b0036b463f
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