Instructions to use licyk/invokeai-core-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use licyk/invokeai-core-model with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("licyk/invokeai-core-model", 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
- Xet hash:
- ac917508c74fc0808d27c945ad37035c27bd52d45fda4d09f65a38bd0aea9722
- Size of remote file:
- 48.1 kB
- SHA256:
- 56c63488b168ca992d2340e59d3e0e28beb965a3ec28acf6e7fe80994ece30f8
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