Instructions to use stablediffusionapi/pure-evolution-v5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use stablediffusionapi/pure-evolution-v5 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", 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:
- 061239f731df5c3e4b20e23a24ff4a6fc004dd8097c1d861d891a958d8f8ef97
- Size of remote file:
- 246 MB
- SHA256:
- f152b0610a305e9cd0e2efafaf9ac014ca12945f65ee0cc54b7ac95a73333ef0
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