Instructions to use pappubind/tiger with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use pappubind/tiger with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("pappubind/tiger", 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:
- af50a3fc6fee53d0ddabf897ea4fb48d211abc04c805ab8c2ec24d2aacbff8e4
- Size of remote file:
- 246 MB
- SHA256:
- 0871996e0b9688a3ce4ded8733d5ba974d1dbe87a66850f6cbefc0e4db5f9a6e
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