Instructions to use HDH88/kim-test-02 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use HDH88/kim-test-02 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("HDH88/kim-test-02", 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/pytorch_model.bin from HDH88/kim-test-02: direct link, hf CLI and curl.
- Browser
- Download file 246 MB
-
https://huggingface.co/HDH88/kim-test-02/resolve/main/text_encoder/pytorch_model.bin
- Command line
-
hf download hf://HDH88/kim-test-02/text_encoder/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/HDH88/kim-test-02/resolve/main/text_encoder/pytorch_model.bin
246 MB
- Xet hash:
- 5deff9037dd7daa4d7909748106d14e2dec7bbbaf5d642061e8986b1b3b0a272
- Size of remote file:
- 246 MB
- SHA256:
- 4959999de8b6107070b5c42363942716d04c6fb7b4536e6a9b68d604ec2c9848
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