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
- Draw Things
- DiffusionBee
- Xet hash:
- 0c9c6a7d9a842457adc2d35c38952282b9872f2c1badafc2cef98d52f38d2e9d
- Size of remote file:
- 3.93 kB
- SHA256:
- 60c105c36f55bc0eee485dafc9730bec86561045c931cc522aedf6a41f8c68c5
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