Instructions to use hf-internal-testing/tiny-pika-h3-flex-modular-pipe with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use hf-internal-testing/tiny-pika-h3-flex-modular-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-pika-h3-flex-modular-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
Name MiniMaxH3Transformer3DModel in the index and transformer configs
#1
by YiYiXu HF Staff - opened
Pika H3 Flex reuses MiniMax-H3's transformer class; the weights are unchanged.
YiYiXu changed pull request status to merged