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 Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 6733208530e42d342fec87e7e01c3035a189a9f2253482d3ed2b27b75a33df7f
- Size of remote file:
- 1.72 GB
- SHA256:
- 9d40991e4eee6cb83a8c9b3dc40837300b374ed4b4ac39abb916d5d0bd0f2e67
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