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-3.12.7-amd64.zip from licyk/invokeai-core-model: direct link, hf CLI and curl.
- Browser
- Download file 39.3 MB
-
https://huggingface.co/licyk/invokeai-core-model/resolve/main/pypatchmatch/python-3.12.7-amd64.zip
- Command line
-
hf download hf://licyk/invokeai-core-model/pypatchmatch/python-3.12.7-amd64.zip
-
curl -L -o python-3.12.7-amd64.zip https://huggingface.co/licyk/invokeai-core-model/resolve/main/pypatchmatch/python-3.12.7-amd64.zip
39.3 MB
- Xet hash:
- bc718019119f26d490f1037e5132dc237473a3522b8cbd7e74af4954d817bfc8
- Size of remote file:
- 39.3 MB
- SHA256:
- ce0fde8cb94ccf74199baa5d8954a1f125cf3120f1907551dd900f5329950d2b
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