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 Settings
- Draw Things
- DiffusionBee
- Xet hash:
- dc12e90adfa10c046f30a149ca82baed9262387f157c29679d1fb88ff9ea11e7
- Size of remote file:
- 246 MB
- SHA256:
- 9163f54b19d62dbcce685014ec1791f2a53a409945d99a49241658c99885261d
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