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
Download pypatchmatch/python-3.10.11-embed-amd64.zip from licyk/invokeai-core-model: direct link, hf CLI and curl.
- Browser
- Download file 8.63 MB
-
https://huggingface.co/licyk/invokeai-core-model/resolve/main/pypatchmatch/python-3.10.11-embed-amd64.zip
- Command line
-
hf download hf://licyk/invokeai-core-model/pypatchmatch/python-3.10.11-embed-amd64.zip
-
curl -L -o python-3.10.11-embed-amd64.zip https://huggingface.co/licyk/invokeai-core-model/resolve/main/pypatchmatch/python-3.10.11-embed-amd64.zip
8.63 MB
- Xet hash:
- 5be4fdc765a692c80735a39f360f04d45ee8e548f54706ce8f9bc85bb629bee8
- Size of remote file:
- 8.63 MB
- SHA256:
- 608619f8619075629c9c69f361352a0da6ed7e62f83a0e19c63e0ea32eb7629d
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