Instructions to use etri-vilab/koala-1b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use etri-vilab/koala-1b with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("etri-vilab/koala-1b", 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
Download text_encoder_2/openvino_model.bin from etri-vilab/koala-1b: direct link, hf CLI and curl.
- Browser
- Download file 2.78 GB
-
https://huggingface.co/etri-vilab/koala-1b/resolve/main/text_encoder_2/openvino_model.bin
- Command line
-
hf download hf://etri-vilab/koala-1b/text_encoder_2/openvino_model.bin
-
curl -L -o openvino_model.bin https://huggingface.co/etri-vilab/koala-1b/resolve/main/text_encoder_2/openvino_model.bin
2.78 GB
- Xet hash:
- f55a7694a2feee348fda8d63d8f6d281daf518efe72760bbdbdec1d17c642f12
- Size of remote file:
- 2.78 GB
- SHA256:
- 549d05154b0c09d46226f85abd48552f0ef999af4f24a95b3fb62d5e7d059570
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