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:
- ebcf2e23a7a2c72a6340283c0a3ab1298bee0ca9d554a10227d3c09903240cca
- Size of remote file:
- 492 MB
- SHA256:
- 54a1a90c1c342a98fd17f6cd56528eed9da26881b6950f0100e9273d4991c7db
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