Instructions to use stablediffusionapi/pure-evolution-v5-inpaint with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use stablediffusionapi/pure-evolution-v5-inpaint 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/pure-evolution-v5-inpaint", 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:
- fde2d5bfccb71c73d34c6407aa457278b91ab4604de5cc6d47b697db56e0e095
- Size of remote file:
- 1.72 GB
- SHA256:
- 7aa7218029d26f04e5c6b22ff6b2c94af0b21263f7313746e31b6bd7f7db028c
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.