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", torch_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:
- b30632da384afd2a9142d7865c599b342afeeb5bdb71ab20fc7e2bfbe7e58d1d
- Size of remote file:
- 492 MB
- SHA256:
- 19d61c0225bbf4897990d3989c045e3a62588a9e65a4797fe7115ff44d7726a6
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.