Instructions to use AbstractFramework/wan2.2-t2v-a14b-diffusers-bf16 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use AbstractFramework/wan2.2-t2v-a14b-diffusers-bf16 with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] huggingface-cli download --local-dir wan2.2-t2v-a14b-diffusers-bf16 AbstractFramework/wan2.2-t2v-a14b-diffusers-bf16
- Wan2.2
How to use AbstractFramework/wan2.2-t2v-a14b-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
Add files using upload-large-folder tool
Browse files- .gitattributes +1 -0
- README.md +85 -0
- model_index.json +29 -0
- scheduler/scheduler_config.json +30 -0
- text_encoder/config.json +34 -0
- text_encoder/model-00001-of-00003.safetensors +3 -0
- text_encoder/model-00002-of-00003.safetensors +3 -0
- text_encoder/model-00003-of-00003.safetensors +3 -0
- text_encoder/model.safetensors.index.json +249 -0
- tokenizer/tokenizer.json +3 -0
- tokenizer/tokenizer_config.json +317 -0
- transformer/0.safetensors +3 -0
- transformer/1.safetensors +3 -0
- transformer/10.safetensors +3 -0
- transformer/11.safetensors +3 -0
- transformer/12.safetensors +3 -0
- transformer/13.safetensors +3 -0
- transformer/2.safetensors +3 -0
- transformer/3.safetensors +3 -0
- transformer/4.safetensors +3 -0
- transformer/5.safetensors +3 -0
- transformer/6.safetensors +3 -0
- transformer/7.safetensors +3 -0
- transformer/8.safetensors +3 -0
- transformer/9.safetensors +3 -0
- transformer/model.safetensors.index.json +1105 -0
- transformer_2/0.safetensors +3 -0
- transformer_2/1.safetensors +3 -0
- transformer_2/10.safetensors +3 -0
- transformer_2/11.safetensors +3 -0
- transformer_2/12.safetensors +3 -0
- transformer_2/13.safetensors +3 -0
- transformer_2/2.safetensors +3 -0
- transformer_2/3.safetensors +3 -0
- transformer_2/4.safetensors +3 -0
- transformer_2/5.safetensors +3 -0
- transformer_2/6.safetensors +3 -0
- transformer_2/7.safetensors +3 -0
- transformer_2/8.safetensors +3 -0
- transformer_2/9.safetensors +3 -0
- transformer_2/model.safetensors.index.json +1105 -0
- vae/0.safetensors +3 -0
- vae/model.safetensors.index.json +202 -0
.gitattributes
CHANGED
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@@ -33,3 +33,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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*.zip filter=lfs diff=lfs merge=lfs -text
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*.zst filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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*.zip filter=lfs diff=lfs merge=lfs -text
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*.zst filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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tokenizer/tokenizer.json filter=lfs diff=lfs merge=lfs -text
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README.md
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| 1 |
+
---
|
| 2 |
+
license: apache-2.0
|
| 3 |
+
base_model: Wan-AI/Wan2.2-T2V-A14B-Diffusers
|
| 4 |
+
pipeline_tag: text-to-video
|
| 5 |
+
library_name: mlx-gen
|
| 6 |
+
tags:
|
| 7 |
+
- mlx
|
| 8 |
+
- mlx-gen
|
| 9 |
+
- mflux
|
| 10 |
+
- apple-silicon
|
| 11 |
+
- wan
|
| 12 |
+
- wan2.2
|
| 13 |
+
- video-generation
|
| 14 |
+
- text-to-video
|
| 15 |
+
- image-to-video
|
| 16 |
+
- wan-a14b
|
| 17 |
+
---
|
| 18 |
+
# wan2.2-t2v-a14b-diffusers-bf16
|
| 19 |
+
|
| 20 |
+
This repository contains MLX-Gen saved weights for `Wan-AI/Wan2.2-T2V-A14B-Diffusers`. The checkpoint is designed for local Apple Silicon inference with [`mlx-gen`](https://github.com/lpalbou/mlx-gen).
|
| 21 |
+
|
| 22 |
+
It uses the mflux/MLX saved-weight layout. It is not a Diffusers or Transformers `from_pretrained()` checkpoint.
|
| 23 |
+
|
| 24 |
+
## Source Model
|
| 25 |
+
|
| 26 |
+
Original model: [`Wan-AI/Wan2.2-T2V-A14B-Diffusers`](https://huggingface.co/Wan-AI/Wan2.2-T2V-A14B-Diffusers).
|
| 27 |
+
|
| 28 |
+
## License and Access
|
| 29 |
+
|
| 30 |
+
This prepared derivative follows the Apache 2.0 license of the source model.
|
| 31 |
+
|
| 32 |
+
## Quantization
|
| 33 |
+
|
| 34 |
+
This checkpoint stores MLX-Gen Wan2.2 A14B weights without an explicit quantization level.
|
| 35 |
+
|
| 36 |
+
For Wan checkpoints, MLX-Gen loads transformer and VAE weights at BF16 runtime precision. The UMT5 text encoder is preserved from the source model. Wan supports text-to-video and selected image-to-video routes depending on the source model.
|
| 37 |
+
|
| 38 |
+
## Local Validation
|
| 39 |
+
|
| 40 |
+
Validation used 384x224, 17 frames, 12 denoising steps, guidance 4, guidance-2 3, fps 8, and seed 4242 on Apple Silicon. Memory is measured for the full package run from model init through video save. RSS alone is not enough for MLX/Metal unified-memory pressure, so the table reports both MLX allocator peak and Darwin physical footprint.
|
| 41 |
+
|
| 42 |
+
| Package | Folder Size | Runtime Precision | Mode | MLX Peak | Physical Footprint Peak | Time | Notes |
|
| 43 |
+
| --- | ---: | --- | --- | ---: | ---: | ---: | --- |
|
| 44 |
+
| Upstream source snapshot | 118 GiB | BF16 runtime from FP32/BF16 source files | release inactive denoiser | 32.99 GiB | 48.90 GiB | 108.31 s | Baseline source-cache run. |
|
| 45 |
+
| This BF16 prepared folder | 64 GiB | BF16 | release inactive denoiser | 32.98 GiB | 45.12 GiB | 114.39 s | Output was byte-identical to the source-cache run. |
|
| 46 |
+
| This BF16 prepared folder | 64 GiB | BF16 | no denoiser release | 59.72 GiB | 75.14 GiB | 110.97 s | Retains both A14B denoisers through decode. |
|
| 47 |
+
| This BF16 prepared folder | 64 GiB | BF16 | low-RAM release | 27.75 GiB | 33.18 GiB | 110.76 s | Releases denoisers before decode and clears per-step cache. |
|
| 48 |
+
| Mixed q8/BF16 prepared folder | 40 GiB | q8 transformer block linears, BF16 sensitive paths and VAE | release inactive denoiser | 20.84 GiB | 31.75 GiB | 110.34 s | Lower usage memory; not byte-identical to BF16 but passed side-by-side validation. |
|
| 49 |
+
| Mixed q8/BF16 prepared folder | 40 GiB | q8 transformer block linears, BF16 sensitive paths and VAE | low-RAM release | 15.48 GiB | 20.74 GiB | 108.70 s | Lowest measured usage-memory mode. |
|
| 50 |
+
|
| 51 |
+
## Compatibility
|
| 52 |
+
|
| 53 |
+
Requires `mlx-gen >= 0.18.8`.
|
| 54 |
+
|
| 55 |
+
Generated with `mlx-gen 0.18.8`.
|
| 56 |
+
|
| 57 |
+
Use the `mlxgen` command and Python import path for new MLX-Gen projects.
|
| 58 |
+
|
| 59 |
+
## Usage
|
| 60 |
+
|
| 61 |
+
```bash
|
| 62 |
+
python -m pip install -U mlx-gen
|
| 63 |
+
|
| 64 |
+
mlxgen download --model AbstractFramework/wan2.2-t2v-a14b-diffusers-bf16
|
| 65 |
+
|
| 66 |
+
mlxgen generate \
|
| 67 |
+
--model AbstractFramework/wan2.2-t2v-a14b-diffusers-bf16 \
|
| 68 |
+
--task text-to-video \
|
| 69 |
+
--prompt "Your video prompt here" \
|
| 70 |
+
--width 1280 \
|
| 71 |
+
--height 720 \
|
| 72 |
+
--frames 81 \
|
| 73 |
+
--steps 40 \
|
| 74 |
+
--guidance 4 \
|
| 75 |
+
--guidance-2 3 \
|
| 76 |
+
--fps 16 \
|
| 77 |
+
--seed 42 \
|
| 78 |
+
--output video.mp4
|
| 79 |
+
```
|
| 80 |
+
|
| 81 |
+
## Attribution
|
| 82 |
+
|
| 83 |
+
MLX-Gen is based on [mflux](https://github.com/filipstrand/mflux) by Filip Strand and the original mflux contributors. This model card is generated by MLX-Gen so derived checkpoints keep that attribution visible.
|
| 84 |
+
|
| 85 |
+
Prepared and contributed by [@lpalbou](https://huggingface.co/lpalbou).
|
model_index.json
ADDED
|
@@ -0,0 +1,29 @@
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| 1 |
+
{
|
| 2 |
+
"_class_name": "WanPipeline",
|
| 3 |
+
"_diffusers_version": "0.35.0.dev0",
|
| 4 |
+
"boundary_ratio": 0.875,
|
| 5 |
+
"scheduler": [
|
| 6 |
+
"diffusers",
|
| 7 |
+
"UniPCMultistepScheduler"
|
| 8 |
+
],
|
| 9 |
+
"text_encoder": [
|
| 10 |
+
"transformers",
|
| 11 |
+
"UMT5EncoderModel"
|
| 12 |
+
],
|
| 13 |
+
"tokenizer": [
|
| 14 |
+
"transformers",
|
| 15 |
+
"T5TokenizerFast"
|
| 16 |
+
],
|
| 17 |
+
"transformer": [
|
| 18 |
+
"diffusers",
|
| 19 |
+
"WanTransformer3DModel"
|
| 20 |
+
],
|
| 21 |
+
"transformer_2": [
|
| 22 |
+
"diffusers",
|
| 23 |
+
"WanTransformer3DModel"
|
| 24 |
+
],
|
| 25 |
+
"vae": [
|
| 26 |
+
"diffusers",
|
| 27 |
+
"AutoencoderKLWan"
|
| 28 |
+
]
|
| 29 |
+
}
|
scheduler/scheduler_config.json
ADDED
|
@@ -0,0 +1,30 @@
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| 1 |
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{
|
| 2 |
+
"_class_name": "UniPCMultistepScheduler",
|
| 3 |
+
"_diffusers_version": "0.35.0.dev0",
|
| 4 |
+
"beta_end": 0.02,
|
| 5 |
+
"beta_schedule": "linear",
|
| 6 |
+
"beta_start": 0.0001,
|
| 7 |
+
"disable_corrector": [],
|
| 8 |
+
"dynamic_thresholding_ratio": 0.995,
|
| 9 |
+
"final_sigmas_type": "zero",
|
| 10 |
+
"flow_shift": 3.0,
|
| 11 |
+
"lower_order_final": true,
|
| 12 |
+
"num_train_timesteps": 1000,
|
| 13 |
+
"predict_x0": true,
|
| 14 |
+
"prediction_type": "flow_prediction",
|
| 15 |
+
"rescale_betas_zero_snr": false,
|
| 16 |
+
"sample_max_value": 1.0,
|
| 17 |
+
"solver_order": 2,
|
| 18 |
+
"solver_p": null,
|
| 19 |
+
"solver_type": "bh2",
|
| 20 |
+
"steps_offset": 0,
|
| 21 |
+
"thresholding": false,
|
| 22 |
+
"time_shift_type": "exponential",
|
| 23 |
+
"timestep_spacing": "linspace",
|
| 24 |
+
"trained_betas": null,
|
| 25 |
+
"use_beta_sigmas": false,
|
| 26 |
+
"use_dynamic_shifting": false,
|
| 27 |
+
"use_exponential_sigmas": false,
|
| 28 |
+
"use_flow_sigmas": true,
|
| 29 |
+
"use_karras_sigmas": false
|
| 30 |
+
}
|
text_encoder/config.json
ADDED
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@@ -0,0 +1,34 @@
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| 1 |
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{
|
| 2 |
+
"_name_or_path": "google/umt5-xxl",
|
| 3 |
+
"architectures": [
|
| 4 |
+
"UMT5EncoderModel"
|
| 5 |
+
],
|
| 6 |
+
"classifier_dropout": 0.0,
|
| 7 |
+
"d_ff": 10240,
|
| 8 |
+
"d_kv": 64,
|
| 9 |
+
"d_model": 4096,
|
| 10 |
+
"decoder_start_token_id": 0,
|
| 11 |
+
"dense_act_fn": "gelu_new",
|
| 12 |
+
"dropout_rate": 0.1,
|
| 13 |
+
"eos_token_id": 1,
|
| 14 |
+
"feed_forward_proj": "gated-gelu",
|
| 15 |
+
"initializer_factor": 1.0,
|
| 16 |
+
"is_encoder_decoder": true,
|
| 17 |
+
"is_gated_act": true,
|
| 18 |
+
"layer_norm_epsilon": 1e-06,
|
| 19 |
+
"model_type": "umt5",
|
| 20 |
+
"num_decoder_layers": 24,
|
| 21 |
+
"num_heads": 64,
|
| 22 |
+
"num_layers": 24,
|
| 23 |
+
"output_past": true,
|
| 24 |
+
"pad_token_id": 0,
|
| 25 |
+
"relative_attention_max_distance": 128,
|
| 26 |
+
"relative_attention_num_buckets": 32,
|
| 27 |
+
"scalable_attention": true,
|
| 28 |
+
"tie_word_embeddings": false,
|
| 29 |
+
"tokenizer_class": "T5Tokenizer",
|
| 30 |
+
"torch_dtype": "bfloat16",
|
| 31 |
+
"transformers_version": "4.48.0.dev0",
|
| 32 |
+
"use_cache": true,
|
| 33 |
+
"vocab_size": 256384
|
| 34 |
+
}
|
text_encoder/model-00001-of-00003.safetensors
ADDED
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version https://git-lfs.github.com/spec/v1
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| 2 |
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oid sha256:a8e861969c7433e707cc5a74065d795d36cca07ec96eb6763eb4083df7248f58
|
| 3 |
+
size 4935812536
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text_encoder/model-00002-of-00003.safetensors
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version https://git-lfs.github.com/spec/v1
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+
oid sha256:d57d948ece4837d850b7a859a4415121d57cacf8b9ee1d4db200c67f592902d7
|
| 3 |
+
size 4983103192
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text_encoder/model-00003-of-00003.safetensors
ADDED
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@@ -0,0 +1,3 @@
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version https://git-lfs.github.com/spec/v1
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| 2 |
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oid sha256:0da9ee284e21d1406df708788db1d502d95d75f69faa25cd26151bf8829b7c5f
|
| 3 |
+
size 1442935480
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text_encoder/model.safetensors.index.json
ADDED
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@@ -0,0 +1,249 @@
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tokenizer/tokenizer.json
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tokenizer/tokenizer_config.json
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@@ -0,0 +1,317 @@
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transformer/0.safetensors
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transformer/1.safetensors
ADDED
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@@ -0,0 +1,3 @@
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version https://git-lfs.github.com/spec/v1
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transformer/10.safetensors
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version https://git-lfs.github.com/spec/v1
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transformer/11.safetensors
ADDED
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version https://git-lfs.github.com/spec/v1
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ADDED
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size 2108374047
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transformer/3.safetensors
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|
@@ -0,0 +1,3 @@
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| 1 |
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version https://git-lfs.github.com/spec/v1
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size 2108374050
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transformer/4.safetensors
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|
@@ -0,0 +1,3 @@
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| 1 |
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version https://git-lfs.github.com/spec/v1
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size 2108374118
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transformer/5.safetensors
ADDED
|
@@ -0,0 +1,3 @@
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| 1 |
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version https://git-lfs.github.com/spec/v1
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size 2108374122
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transformer/6.safetensors
ADDED
|
@@ -0,0 +1,3 @@
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| 1 |
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version https://git-lfs.github.com/spec/v1
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| 3 |
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size 2108374116
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transformer/7.safetensors
ADDED
|
@@ -0,0 +1,3 @@
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| 1 |
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version https://git-lfs.github.com/spec/v1
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size 2108374100
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transformer/8.safetensors
ADDED
|
@@ -0,0 +1,3 @@
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| 1 |
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size 2108374098
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transformer/9.safetensors
ADDED
|
@@ -0,0 +1,3 @@
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| 3 |
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size 2108374110
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transformer/model.safetensors.index.json
ADDED
|
@@ -0,0 +1,1105 @@
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vae/model.safetensors.index.json
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