Text-to-Image
Diffusers
Safetensors
StableDiffusionPipeline
3D
aodai
Character
StableDiffusionVN
stable-diffusion
stable-diffusion-diffusers
Instructions to use Yntec/3DCute with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Yntec/3DCute 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/3DCute", 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:
- c675f35e4cd23a3ae69487848d0c32cefe99bcf5af197926bf359b2e48cd89f6
- Size of remote file:
- 492 MB
- SHA256:
- 15d8bf4d60ae3695fef5179186e8d6c5b8307ccc287953bd2e1d939a1abb3ef7
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