Instructions to use etri-vilab/koala-700m with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use etri-vilab/koala-700m 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-700m", 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 vae/diffusion_pytorch_model.safetensors from etri-vilab/koala-700m: direct link, hf CLI and curl.
- Browser
- Download file 335 MB
-
https://huggingface.co/etri-vilab/koala-700m/resolve/main/vae/diffusion_pytorch_model.safetensors
- Command line
-
hf download hf://etri-vilab/koala-700m/vae/diffusion_pytorch_model.safetensors
-
curl -L -o diffusion_pytorch_model.safetensors https://huggingface.co/etri-vilab/koala-700m/resolve/main/vae/diffusion_pytorch_model.safetensors
335 MB
- Xet hash:
- 5931b71de20c950c303f4262fab96ff0999b6be75af78fa590811eaeadd89ad5
- Size of remote file:
- 335 MB
- SHA256:
- 1b909373b28f2137098b0fd9dbc6f97f8410854f31f84ddc9fa04b077b0ace2c
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