Instructions to use Yntec/Wonderland with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Yntec/Wonderland 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/Wonderland", 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
- Draw Things
- DiffusionBee
Wonderland
Samples and prompts:
cartoon pretty cute girl, 16k ultra realistic, color high quality, saxophone, tending on artstation, front lighting, focused, extreme details, unreal engine 5, cinematic, masterpiece, art by Peter Mohrbacher, Hajime Sorayama, Moebius
cartoon pretty cute girl, 16k ultra realistic, color high quality, harmonica, tending on artstation, front lighting, focused, extreme details, unreal engine 5, cinematic, masterpiece, art by Peter Mohrbacher, Hajime Sorayama, Moebius
cartoon pretty cute girl, 16k ultra realistic, color high quality, piano, tending on artstation, front lighting, focused, extreme details, unreal engine 5, cinematic, masterpiece, art by Peter Mohrbacher, Hajime Sorayama, Moebius
cartoon pretty cute girl, 16k ultra realistic, color high quality, violin, tending on artstation, front lighting, focused, extreme details, unreal engine 5, cinematic, masterpiece, art by Peter Mohrbacher, Hajime Sorayama, Moebius
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