Text-to-Image
Diffusers
Safetensors
StableDiffusionPipeline
stable-diffusion
stable-diffusion-diffusers
Children
Book illustrations
Clumsy_Trainer
Instructions to use Yntec/COOLKIDSV2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Yntec/COOLKIDSV2 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/COOLKIDSV2", 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:
- 559c4d2f7707e5d7bb0114ae10cd4810c4457d9f1880b06a8611d158bd5e55ce
- Size of remote file:
- 1.72 GB
- SHA256:
- 1ddd5daad11d1c9496fcaf60a5e1037821276f5b964492fbe8ad6e0cad940e24
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