Instructions to use Rin247/Anima-Turbo-Diffusers with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Rin247/Anima-Turbo-Diffusers with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Rin247/Anima-Turbo-Diffusers", 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
- Local Apps Settings
- Draw Things
- DiffusionBee
Commit History
5 days ago
-
Upload split_files/diffusion_models/anima_turbo_v1.1_diffusion_models_int8.safetensors with huggingface_hub
Verified signature64460c1 -
Upload split_files/diffusion_models/anima_turbo_v1.1_diffusion_models_int4.safetensors with huggingface_hub
Verified signature827c88f -
Upload split_files/diffusion_models/anima_turbo_v1.1_diffusion_models_fp8.safetensors with huggingface_hub
Verified signatured32e5b0 -
Upload split_files/diffusion_models/anima_turbo_v1.1_diffusion_models_fp4.safetensors with huggingface_hub
Verified signature864938a