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:
- a8f1d3d5900eef6df7d466aa6413a594134f31b942f52c3574aebbd3b73e5a89
- Size of remote file:
- 9.99 GB
- SHA256:
- dceab3cb46e2aa764da3741c1dcb643623ea57eee6d160b729cd669fb451e1cd
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