Add files using upload-large-folder tool
Browse files- .gitattributes +1 -0
- LICENSE +202 -0
- README.md +107 -0
- model_index.json +31 -0
- scheduler/scheduler_config.json +33 -0
- text_encoder/config.json +34 -0
- text_encoder/model-00001-of-00002.safetensors +3 -0
- text_encoder/model-00002-of-00002.safetensors +3 -0
- text_encoder/model.safetensors.index.json +250 -0
- tokenizer/tokenizer.json +3 -0
- tokenizer/tokenizer_config.json +317 -0
- transformer/config.json +25 -0
- transformer/diffusion_pytorch_model-00001-of-00002.safetensors +3 -0
- transformer/diffusion_pytorch_model-00002-of-00002.safetensors +3 -0
- transformer/diffusion_pytorch_model.safetensors.index.json +832 -0
- vae/config.json +129 -0
- vae/diffusion_pytorch_model.safetensors +3 -0
.gitattributes
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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
ADDED
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| 1 |
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---
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| 2 |
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license: apache-2.0
|
| 3 |
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language:
|
| 4 |
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- en
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| 5 |
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- zh
|
| 6 |
+
library_name: diffusers
|
| 7 |
+
pipeline_tag: image-to-video
|
| 8 |
+
base_model:
|
| 9 |
+
- Wan-AI/Wan2.2-TI2V-5B-Diffusers
|
| 10 |
+
base_model_relation: finetune
|
| 11 |
+
datasets:
|
| 12 |
+
- pufanyi/vbvr-pro-rl-indomain-50k
|
| 13 |
+
tags:
|
| 14 |
+
- diffusers
|
| 15 |
+
- wan2.2
|
| 16 |
+
- image-to-video
|
| 17 |
+
- video-generation
|
| 18 |
+
- visual-reasoning
|
| 19 |
+
- reinforcement-learning
|
| 20 |
+
- vbvr-pro
|
| 21 |
+
---
|
| 22 |
+
|
| 23 |
+
# VBVR-Pro Wan2.2 TI2V-5B — Rule-RL
|
| 24 |
+
|
| 25 |
+
This repository contains a complete Diffusers pipeline for the VBVR-Pro
|
| 26 |
+
Wan2.2 TI2V-5B model optimized with task-specific rule-based reinforcement
|
| 27 |
+
learning. It is derived from
|
| 28 |
+
[`Wan-AI/Wan2.2-TI2V-5B-Diffusers`](https://huggingface.co/Wan-AI/Wan2.2-TI2V-5B-Diffusers)
|
| 29 |
+
and is intended for research on image-conditioned video generation and visual
|
| 30 |
+
reasoning.
|
| 31 |
+
|
| 32 |
+
The repository includes the transformer, text encoder, tokenizer, VAE, and
|
| 33 |
+
scheduler required by `WanPipeline.from_pretrained`.
|
| 34 |
+
|
| 35 |
+
## Recommended evaluation settings
|
| 36 |
+
|
| 37 |
+
- Resolution: 512 × 512
|
| 38 |
+
- Frames: 81
|
| 39 |
+
- Output FPS: 16
|
| 40 |
+
- Inference steps: 30
|
| 41 |
+
- Guidance scale: 1.0
|
| 42 |
+
|
| 43 |
+
The bundled scheduler is UniPC for direct Diffusers compatibility. The
|
| 44 |
+
Flow-CPS samplers used in the VBVR-Pro experiments are available in
|
| 45 |
+
[`pufanyi/Wan-Trainer`](https://github.com/pufanyi/Wan-Trainer).
|
| 46 |
+
|
| 47 |
+
## Usage
|
| 48 |
+
|
| 49 |
+
```python
|
| 50 |
+
import torch
|
| 51 |
+
from diffusers import AutoencoderKLWan, WanPipeline
|
| 52 |
+
from diffusers.utils import export_to_video, load_image
|
| 53 |
+
|
| 54 |
+
model_id = "pufanyi/VBVR-Pro-Wan2.2-TI2V-5B-Rule-RL"
|
| 55 |
+
|
| 56 |
+
vae = AutoencoderKLWan.from_pretrained(
|
| 57 |
+
model_id,
|
| 58 |
+
subfolder="vae",
|
| 59 |
+
torch_dtype=torch.float32,
|
| 60 |
+
)
|
| 61 |
+
pipe = WanPipeline.from_pretrained(
|
| 62 |
+
model_id,
|
| 63 |
+
vae=vae,
|
| 64 |
+
torch_dtype=torch.bfloat16,
|
| 65 |
+
)
|
| 66 |
+
pipe.enable_model_cpu_offload()
|
| 67 |
+
|
| 68 |
+
image = load_image("input.png")
|
| 69 |
+
frames = pipe(
|
| 70 |
+
image=image,
|
| 71 |
+
prompt="Move the marked object to the matching target.",
|
| 72 |
+
height=512,
|
| 73 |
+
width=512,
|
| 74 |
+
num_frames=81,
|
| 75 |
+
num_inference_steps=30,
|
| 76 |
+
guidance_scale=1.0,
|
| 77 |
+
generator=torch.Generator(device="cpu").manual_seed(0),
|
| 78 |
+
).frames[0]
|
| 79 |
+
|
| 80 |
+
export_to_video(frames, "output.mp4", fps=16)
|
| 81 |
+
```
|
| 82 |
+
|
| 83 |
+
Use Diffusers 0.37.1 or newer. Loading the complete pipeline requires
|
| 84 |
+
substantial CPU and accelerator memory; CPU offloading is recommended on
|
| 85 |
+
smaller GPUs.
|
| 86 |
+
|
| 87 |
+
## Training summary
|
| 88 |
+
|
| 89 |
+
The model was optimized on VBVR-Pro image-to-video tasks using Flow-CPS
|
| 90 |
+
rollouts and deterministic task-specific rule rewards. Training and evaluation
|
| 91 |
+
targeted 512 × 512 videos with 81 frames.
|
| 92 |
+
|
| 93 |
+
## Limitations
|
| 94 |
+
|
| 95 |
+
- The model is a research artifact and may produce incorrect or visually
|
| 96 |
+
inconsistent reasoning trajectories.
|
| 97 |
+
- Results are most directly comparable under the settings listed above.
|
| 98 |
+
- The model inherits limitations and potential biases from the Wan2.2 base
|
| 99 |
+
model and its training data.
|
| 100 |
+
- Do not use generated outputs as the sole basis for high-stakes decisions.
|
| 101 |
+
|
| 102 |
+
## License and attribution
|
| 103 |
+
|
| 104 |
+
The model is released under Apache License 2.0. See `LICENSE`. Please also
|
| 105 |
+
follow the terms and attribution guidance of the upstream Wan2.2 model.
|
| 106 |
+
|
| 107 |
+
Citation information will be added with the paper release.
|
model_index.json
ADDED
|
@@ -0,0 +1,31 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"_class_name": "WanPipeline",
|
| 3 |
+
"_diffusers_version": "0.37.1",
|
| 4 |
+
"_name_or_path": "Wan-AI/Wan2.2-TI2V-5B-Diffusers",
|
| 5 |
+
"boundary_ratio": null,
|
| 6 |
+
"expand_timesteps": true,
|
| 7 |
+
"scheduler": [
|
| 8 |
+
"diffusers",
|
| 9 |
+
"UniPCMultistepScheduler"
|
| 10 |
+
],
|
| 11 |
+
"text_encoder": [
|
| 12 |
+
"transformers",
|
| 13 |
+
"UMT5EncoderModel"
|
| 14 |
+
],
|
| 15 |
+
"tokenizer": [
|
| 16 |
+
"transformers",
|
| 17 |
+
"T5Tokenizer"
|
| 18 |
+
],
|
| 19 |
+
"transformer": [
|
| 20 |
+
"diffusers",
|
| 21 |
+
"WanTransformer3DModel"
|
| 22 |
+
],
|
| 23 |
+
"transformer_2": [
|
| 24 |
+
null,
|
| 25 |
+
null
|
| 26 |
+
],
|
| 27 |
+
"vae": [
|
| 28 |
+
"diffusers",
|
| 29 |
+
"AutoencoderKLWan"
|
| 30 |
+
]
|
| 31 |
+
}
|
scheduler/scheduler_config.json
ADDED
|
@@ -0,0 +1,33 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"_class_name": "UniPCMultistepScheduler",
|
| 3 |
+
"_diffusers_version": "0.37.1",
|
| 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": 5.0,
|
| 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 |
+
"shift_terminal": null,
|
| 18 |
+
"sigma_max": null,
|
| 19 |
+
"sigma_min": null,
|
| 20 |
+
"solver_order": 2,
|
| 21 |
+
"solver_p": null,
|
| 22 |
+
"solver_type": "bh2",
|
| 23 |
+
"steps_offset": 0,
|
| 24 |
+
"thresholding": false,
|
| 25 |
+
"time_shift_type": "exponential",
|
| 26 |
+
"timestep_spacing": "linspace",
|
| 27 |
+
"trained_betas": null,
|
| 28 |
+
"use_beta_sigmas": false,
|
| 29 |
+
"use_dynamic_shifting": false,
|
| 30 |
+
"use_exponential_sigmas": false,
|
| 31 |
+
"use_flow_sigmas": true,
|
| 32 |
+
"use_karras_sigmas": false
|
| 33 |
+
}
|
text_encoder/config.json
ADDED
|
@@ -0,0 +1,34 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"architectures": [
|
| 3 |
+
"UMT5EncoderModel"
|
| 4 |
+
],
|
| 5 |
+
"classifier_dropout": 0.0,
|
| 6 |
+
"d_ff": 10240,
|
| 7 |
+
"d_kv": 64,
|
| 8 |
+
"d_model": 4096,
|
| 9 |
+
"decoder_start_token_id": 0,
|
| 10 |
+
"dense_act_fn": "gelu_new",
|
| 11 |
+
"dropout_rate": 0.1,
|
| 12 |
+
"dtype": "bfloat16",
|
| 13 |
+
"eos_token_id": 1,
|
| 14 |
+
"feed_forward_proj": "gated-gelu",
|
| 15 |
+
"initializer_factor": 1.0,
|
| 16 |
+
"is_decoder": false,
|
| 17 |
+
"is_encoder_decoder": true,
|
| 18 |
+
"is_gated_act": true,
|
| 19 |
+
"layer_norm_epsilon": 1e-06,
|
| 20 |
+
"model_type": "umt5",
|
| 21 |
+
"num_decoder_layers": 24,
|
| 22 |
+
"num_heads": 64,
|
| 23 |
+
"num_layers": 24,
|
| 24 |
+
"output_past": true,
|
| 25 |
+
"pad_token_id": 0,
|
| 26 |
+
"relative_attention_max_distance": 128,
|
| 27 |
+
"relative_attention_num_buckets": 32,
|
| 28 |
+
"scalable_attention": true,
|
| 29 |
+
"tie_word_embeddings": true,
|
| 30 |
+
"tokenizer_class": "T5Tokenizer",
|
| 31 |
+
"transformers_version": "5.14.1",
|
| 32 |
+
"use_cache": true,
|
| 33 |
+
"vocab_size": 256384
|
| 34 |
+
}
|
text_encoder/model-00001-of-00002.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:d8e58d21e500ee207f84bf780929c0cb2ac781047c36b70e7485a935b89d5bea
|
| 3 |
+
size 9261553432
|
text_encoder/model-00002-of-00002.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:81406df73afa4471f99b26ffe3142c27c360239a8aea4abe701dc32af5e590e6
|
| 3 |
+
size 2100297856
|
text_encoder/model.safetensors.index.json
ADDED
|
@@ -0,0 +1,250 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
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|
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|
|
|
|
|
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|
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|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"metadata": {
|
| 3 |
+
"total_parameters": 5680910336,
|
| 4 |
+
"total_size": 11361820672
|
| 5 |
+
},
|
| 6 |
+
"weight_map": {
|
| 7 |
+
"encoder.block.0.layer.0.SelfAttention.k.weight": "model-00001-of-00002.safetensors",
|
| 8 |
+
"encoder.block.0.layer.0.SelfAttention.o.weight": "model-00001-of-00002.safetensors",
|
| 9 |
+
"encoder.block.0.layer.0.SelfAttention.q.weight": "model-00001-of-00002.safetensors",
|
| 10 |
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"encoder.block.0.layer.0.SelfAttention.relative_attention_bias.weight": "model-00001-of-00002.safetensors",
|
| 11 |
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"encoder.block.0.layer.0.SelfAttention.v.weight": "model-00001-of-00002.safetensors",
|
| 12 |
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| 1 |
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transformer/config.json
ADDED
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@@ -0,0 +1,25 @@
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{
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| 3 |
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|
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| 17 |
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| 18 |
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|
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| 20 |
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| 24 |
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| 25 |
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transformer/diffusion_pytorch_model-00001-of-00002.safetensors
ADDED
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transformer/diffusion_pytorch_model-00002-of-00002.safetensors
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transformer/diffusion_pytorch_model.safetensors.index.json
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| 832 |
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vae/config.json
ADDED
|
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{
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"_class_name": "AutoencoderKLWan",
|
| 3 |
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|
| 4 |
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"_name_or_path": "Wan-AI/Wan2.2-TI2V-5B-Diffusers/vae",
|
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"attn_scales": [],
|
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|
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"clip_output": false,
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vae/diffusion_pytorch_model.safetensors
ADDED
|
@@ -0,0 +1,3 @@
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|
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|
|
|
|
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|
| 1 |
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version https://git-lfs.github.com/spec/v1
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oid sha256:230496cb59ff85bc9c040487737c4062480cb61c71e697b197b4c30142f2a0da
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| 3 |
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size 1409400600
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