Instructions to use 8glabs/test_trained_models_textual_azuki_style with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use 8glabs/test_trained_models_textual_azuki_style with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("8glabs/test_trained_models_textual_azuki_style", 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 8glabs/test_trained_models_textual_azuki_style: direct link, hf CLI and curl.
- Browser
- Download file 492 MB
-
https://huggingface.co/8glabs/test_trained_models_textual_azuki_style/resolve/main/text_encoder/pytorch_model.bin
- Command line
-
hf download hf://8glabs/test_trained_models_textual_azuki_style/text_encoder/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/8glabs/test_trained_models_textual_azuki_style/resolve/main/text_encoder/pytorch_model.bin
492 MB
- Xet hash:
- 8c86b0446d11fad2323340ae2f7850201992d4d2d67b3579682235bd4499ace0
- Size of remote file:
- 492 MB
- SHA256:
- c1484e3bb45ae5a02c6d84a66251d9031e8796408454458c99e03978d4f02f37
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