Text-to-Image
Diffusers
Safetensors
StableDiffusionPipeline
Style
3D
Animation
Ai_Art_Vision
stable-diffusion
stable-diffusion-diffusers
Instructions to use Yntec/3DCartoonVision with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Yntec/3DCartoonVision 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/3DCartoonVision", 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:
- 219bd79d753e8825a603c6a66ea7e5d2204a0756cb7b287646d41b24b8ad3979
- Size of remote file:
- 335 MB
- SHA256:
- 3187cad915a37bc074146cbff5e6dc0467bd04ebdc71d144c6fe83b9dfbde55b
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.