Instructions to use hf-internal-testing/tiny-t2v-sd-pipe with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use hf-internal-testing/tiny-t2v-sd-pipe with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("hf-internal-testing/tiny-t2v-sd-pipe", 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:
- 0cd72b682424123ef3d87b654e02fb79b6447ffa1dc3756da10b6364c0b69d4f
- Size of remote file:
- 50.9 kB
- SHA256:
- b8aeeb043d3e4cf0eaa0c23a2e801679aed468963d3889e8eed2a199c38f9c38
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