Instructions to use stablediffusionapi/agelesnate with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use stablediffusionapi/agelesnate 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/agelesnate", 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:
- 25825eea924c108649e85eaa65cf1f23e71bcc6e4748b8394cfa5c5602ee94d1
- Size of remote file:
- 167 MB
- SHA256:
- f34e2597d3fb86b1a92db4969e30d66a7caf7c68135453d721d827a75e233256
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