Text-to-Image
Diffusers
Safetensors
English
StableDiffusionPipeline
3D Animation
Fantasy
Disney
Pixar
Western Art
PromptSharingSamaritan
stable-diffusion
stable-diffusion-diffusers
Instructions to use Yntec/Wonder with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Yntec/Wonder 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/Wonder", 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:
- 57fa6972dd8030652212cfbb32999c1ebbed0d0b65f170ac060e51527c2c3371
- Size of remote file:
- 492 MB
- SHA256:
- 1ad34235737d88181f45f7cdbe62a9e9f74b8e564396c5527b65946eba37f1e8
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.