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 models/core/convert/bert-base-uncased/tokenizer.json from licyk/invokeai-core-model: direct link, hf CLI and curl.
- Browser
- Download file 711 kB
-
https://huggingface.co/licyk/invokeai-core-model/resolve/main/models/core/convert/bert-base-uncased/tokenizer.json
- Command line
-
hf download hf://licyk/invokeai-core-model/models/core/convert/bert-base-uncased/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/licyk/invokeai-core-model/resolve/main/models/core/convert/bert-base-uncased/tokenizer.json
711 kB
File too large to display, you can check the raw version instead.