Instructions to use FangDai/Tiger-Model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use FangDai/Tiger-Model with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("FangDai/Tiger-Model", 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
- Xet hash:
- 2d9d7ad60c758fba3505dd2115e80817f084f451ade47bba083c28f2e47e8941
- Size of remote file:
- 2.91 GB
- SHA256:
- 533fe9e054001c0b129a8cd44491d348af2f4b14dff2f9c73c32787a53a29779
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