Instructions to use stablediffusionapi/realistc with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use stablediffusionapi/realistc 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/realistc", 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:
- a4ebf86211299b994d651a825a5562b2781ba7b99cd05b80985d7dc037f35fba
- Size of remote file:
- 1.72 GB
- SHA256:
- f2a3c4a27e263ac9c9b9d66d514d6430ce7ad3f12c1f0bcb31cf8250cc0097a1
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