Text-to-Image
Diffusers
Safetensors
English
StableDiffusionPipeline
Anime
Disney
3D
Lykon
stable-diffusion
stable-diffusion-diffusers
Instructions to use Yntec/3Danimation with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Yntec/3Danimation with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Yntec/3Danimation", 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
- Xet hash:
- 67244fa911dbb3438759daf5bdc053befa3b3df0f65c440cf6e7c49192b35ced
- Size of remote file:
- 335 MB
- SHA256:
- 932894c643721c6a409829af503bdebf1edf73322135a4e0fb6a0757c10f3e30
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