Instructions to use eadx/FramePack_F1_I2V_HY_20250503 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use eadx/FramePack_F1_I2V_HY_20250503 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("eadx/FramePack_F1_I2V_HY_20250503", 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:
- 7072e38f5ddf2972b82c2d667a960faac129e34ab84e1e8c9d518f85bb665e36
- Size of remote file:
- 9.97 GB
- SHA256:
- cdf7c3c5657f39d32fe2be77ecb0b9feff3da2ea44cede43742b0845298ff240
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