Text-to-Image
Diffusers
Safetensors
StableDiffusionPipeline
3D
Character
Children
StableDiffusionVN
stable-diffusion
stable-diffusion-diffusers
Instructions to use Yntec/3DCuteWave with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Yntec/3DCuteWave 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/3DCuteWave", 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:
- fac173a6867a65466a4d70ddb3e4f1dbdf9aa70374b2af48e614b684325e7f0d
- Size of remote file:
- 3.44 GB
- SHA256:
- d6e4de749801e79855bc6187254f898183316ea0e9bdcae7cbd0614a0fea1671
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