Instructions to use sendpizza/frame-fifteen-models with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Wan2.2
How to use sendpizza/frame-fifteen-models with Wan2.2:
# No code snippets available yet for this library. # To use this model, check the repository files and the library's documentation. # Want to help? PRs adding snippets are welcome at: # https://github.com/huggingface/huggingface.js
- Notebooks
- Google Colab
- Kaggle
Frame Fifteen Cached Models
Curated, checksum-verified files used by the private Frame Fifteen ComfyUI worker. The repository combines independently licensed upstream files without modifying them.
| Model | Path | License |
|---|---|---|
| RealVisXL V5 FP16 | checkpoints/RealVisXL_V5.0_fp16.safetensors |
OpenRAIL++ |
| HuslyoRealismXL V2 | checkpoints/huslyorealismxl_v2.safetensors |
Civitai model terms |
| Wan 2.2 I2V High Noise 14B FP8 | diffusion_models/wan2.2_i2v_high_noise_14B_fp8_scaled.safetensors |
Apache-2.0 upstream |
| Wan 2.2 I2V Low Noise 14B FP8 | diffusion_models/wan2.2_i2v_low_noise_14B_fp8_scaled.safetensors |
Apache-2.0 upstream |
| UMT5 XXL FP8 Text Encoder | text_encoders/umt5_xxl_fp8_e4m3fn_scaled.safetensors |
See upstream model card |
| Wan 2.1 VAE | vae/wan_2.1_vae.safetensors |
Apache-2.0 upstream |
| Wan 2.2 I2V Lightx2v 4-step High Noise LoRA | loras/wan2.2_i2v_lightx2v_4steps_lora_v1_high_noise.safetensors |
Apache-2.0 upstream |
| Wan 2.2 I2V Lightx2v 4-step Low Noise LoRA | loras/wan2.2_i2v_lightx2v_4steps_lora_v1_low_noise.safetensors |
Apache-2.0 upstream |
| SeedVR2 7B FP16 | SEEDVR2/seedvr2_ema_7b_fp16.safetensors |
Apache-2.0 |
| SeedVR2 VAE FP16 | SEEDVR2/ema_vae_fp16.safetensors |
Apache-2.0 |
| FILM FP16 Frame Interpolation | frame_interpolation/film_net_fp16.safetensors |
MIT and Apache-2.0 |
See models.json for upstream URLs, purposes, and SHA-256 values. Review and comply
with each upstream license before redistributing or using these files.