Text-to-Image
Diffusers
Safetensors
StableDiffusionPipeline
Children Books
Photorealistic
Highly Detailed
AreThoseLevel4Plates
Zovya
stable-diffusion
stable-diffusion-diffusers
Instructions to use Yntec/NaughtyChildren with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Yntec/NaughtyChildren 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/NaughtyChildren", 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:
- ff998fdc8d5d192e067161006275b1aa7d7337a02f142b6d9e5783a372d4a996
- Size of remote file:
- 2.13 GB
- SHA256:
- deb852a59d5822a0fb18e605c3331e71520ed17625396336f23a8ead1ebc76f7
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.