Instructions to use AltLuv/pokemon-test-tti with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use AltLuv/pokemon-test-tti with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("AltLuv/pokemon-test-tti", 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
- Xet hash:
- e4d711b1f7999347e1e89ce974a2ae09d7c60c3a98fd1594cbea032c4c9a8b80
- Size of remote file:
- 1.08 kB
- SHA256:
- bcf05313b487c70c3cdbba01e48e12ed30fa9fd5bfdcd675858db93b3726e073
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