Text-to-Video
Safetensors
MLX
Wan2.2
mlx-gen
mflux
apple-silicon
bf16
wan
video-generation
image-to-video
Instructions to use AbstractFramework/wan2.2-ti2v-5b-diffusers-bf16 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use AbstractFramework/wan2.2-ti2v-5b-diffusers-bf16 with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] huggingface-cli download --local-dir wan2.2-ti2v-5b-diffusers-bf16 AbstractFramework/wan2.2-ti2v-5b-diffusers-bf16
- Wan2.2
How to use AbstractFramework/wan2.2-ti2v-5b-diffusers-bf16 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
- Local Apps Settings
- LM Studio
| { | |
| "validation_date": "2026-06-04", | |
| "machine": "Apple M5 Max, 128 GiB unified memory", | |
| "profile": { | |
| "prompt": "A short cinematic video of a glowing orange glass sphere floating above calm teal water, soft reflections, gentle camera movement", | |
| "negative_prompt": "", | |
| "width": 1280, | |
| "height": 704, | |
| "frames": 17, | |
| "steps": 20, | |
| "guidance": 5, | |
| "fps": 24, | |
| "seed": 321 | |
| }, | |
| "layouts": { | |
| "base_source": { | |
| "repo": "Wan-AI/Wan2.2-TI2V-5B-Diffusers", | |
| "storage_gib": 31.85, | |
| "mp4": "base-source.mp4", | |
| "total_seconds": 216.15181183815002, | |
| "generation_seconds": 215.164, | |
| "physical_peak_gib": 102.67981120198965, | |
| "rss_peak_gib": 13.703689575195312, | |
| "resident_peak_gib": 13.702316284179688, | |
| "mlx_peak_gib": 58.507674764841795, | |
| "mlx_active_after_generate_gib": 10.348156608641148, | |
| "mlx_cache_after_generate_gib": 0.48403943702578545, | |
| "logical_model_gib": 10.62639182060957, | |
| "logical_transformer_gib": 9.313806891441345, | |
| "logical_vae_gib": 1.3125849291682243, | |
| "model_bits": null, | |
| "health": { | |
| "source": "validation_outputs/ti2v_memory_profile_2026_06_04/base_source.mp4", | |
| "frame_count": 17, | |
| "width": 1280, | |
| "height": 704, | |
| "fps": 24.0, | |
| "luma_min": 7.228399753570557, | |
| "luma_max": 246.07899475097656, | |
| "luma_mean": 174.08145500631895, | |
| "mean_temporal_delta": 0.7045322582125664 | |
| } | |
| }, | |
| "prepared_bf16": { | |
| "repo": "AbstractFramework/wan2.2-ti2v-5b-diffusers-bf16", | |
| "storage_gib": 21.22, | |
| "mp4": "prepared-bf16.mp4", | |
| "total_seconds": 261.56354999542236, | |
| "generation_seconds": 260.648, | |
| "physical_peak_gib": 102.583978459239, | |
| "rss_peak_gib": 14.515884399414062, | |
| "resident_peak_gib": 14.515884399414062, | |
| "mlx_peak_gib": 58.472518514841795, | |
| "mlx_active_after_generate_gib": 10.348156608641148, | |
| "mlx_cache_after_generate_gib": 0.48403943702578545, | |
| "logical_model_gib": 10.62639182060957, | |
| "logical_transformer_gib": 9.313806891441345, | |
| "logical_vae_gib": 1.3125849291682243, | |
| "model_bits": null, | |
| "health": { | |
| "source": "validation_outputs/ti2v_memory_profile_2026_06_04/prepared_bf16.mp4", | |
| "frame_count": 17, | |
| "width": 1280, | |
| "height": 704, | |
| "fps": 24.0, | |
| "luma_min": 7.228399753570557, | |
| "luma_max": 246.07899475097656, | |
| "luma_mean": 174.08145500631895, | |
| "mean_temporal_delta": 0.7045322582125664 | |
| } | |
| }, | |
| "mixed_q8_bf16": { | |
| "repo": "AbstractFramework/wan2.2-ti2v-5b-diffusers-8bit", | |
| "storage_gib": 16.86, | |
| "mp4": "mixed-q8-bf16.mp4", | |
| "total_seconds": 243.38612413406372, | |
| "generation_seconds": 242.664, | |
| "physical_peak_gib": 103.74846588075161, | |
| "rss_peak_gib": 13.800796508789062, | |
| "resident_peak_gib": 13.79901123046875, | |
| "mlx_peak_gib": 54.187850546091795, | |
| "mlx_active_after_generate_gib": 6.063488639891148, | |
| "mlx_cache_after_generate_gib": 0.48403943702578545, | |
| "logical_model_gib": 6.3417238518595695, | |
| "logical_transformer_gib": 5.029138922691345, | |
| "logical_vae_gib": 1.3125849291682243, | |
| "model_bits": 8, | |
| "health": { | |
| "source": "validation_outputs/ti2v_memory_profile_2026_06_04/mixed_q8_bf16.mp4", | |
| "frame_count": 17, | |
| "width": 1280, | |
| "height": 704, | |
| "fps": 24.0, | |
| "luma_min": 7.866199493408203, | |
| "luma_max": 246.94140625, | |
| "luma_mean": 174.77739491182214, | |
| "mean_temporal_delta": 0.6711972616612911 | |
| } | |
| } | |
| }, | |
| "comparisons": { | |
| "base_vs_prepared_bf16": { | |
| "frame_count": 17, | |
| "byte_identical_decoded_frames": true, | |
| "mean_frame_mae": 0.0, | |
| "max_frame_mae": 0.0, | |
| "max_abs_channel_delta": 0 | |
| }, | |
| "base_vs_mixed_q8_bf16": { | |
| "frame_count": 17, | |
| "byte_identical_decoded_frames": false, | |
| "mean_frame_mae": 1.6606264709363858, | |
| "max_frame_mae": 1.7536328864820077, | |
| "max_abs_channel_delta": 133 | |
| }, | |
| "prepared_bf16_vs_mixed_q8_bf16": { | |
| "frame_count": 17, | |
| "byte_identical_decoded_frames": false, | |
| "mean_frame_mae": 1.6606264709363858, | |
| "max_frame_mae": 1.7536328864820077, | |
| "max_abs_channel_delta": 133 | |
| } | |
| }, | |
| "interpretation": { | |
| "prepared_bf16": "Storage/download reduction only for this profile; MLX-Gen already casts upstream Wan transformer and VAE weights to BF16 at runtime.", | |
| "mixed_q8_bf16": "Reduces storage, logical model bytes, active MLX bytes, and MLX allocator peak. This profile did not reduce full-process Darwin physical peak because non-model transient memory dominated the run." | |
| } | |
| } |