Text-to-Image
Diffusers
StableDiffusionPipeline
stablediffusionapi.com
stable-diffusion-api
ultra-realistic
Instructions to use stablediffusionapi/cartoonify-potrait-v1-sd1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use stablediffusionapi/cartoonify-potrait-v1-sd1 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("stablediffusionapi/cartoonify-potrait-v1-sd1", 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
- Xet hash:
- 7ba7594bb1e906f8e291084a265c050879d39fceaabd47174e56af0d8fe79c32
- Size of remote file:
- 246 MB
- SHA256:
- 9bc08f9fa46b5e90aa1afc1a0834fd219eff709a8d4727e24316ef28a523ffea
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