ti2v
Datasets
All datasets matching “ti2v”lp-gemm-wan2-2-ti2v-5b-480p
Low Precision GEMM Operand Samples
This dataset contains real Linear-layer GEMM operand pairs extracted from
public language-model checkpoints for low-precision GEMM numerics studies.
Each .pt sample is a dictionary:
{
"lhs": Tensor[tokens, in_features],
"rhs": Tensor[in_features, out_features],
"meta": {...},
}
For a PyTorch nn.Linear, the captured GEMM is:
output = lhs @ rhs
where lhs is the flattened input activation to the layer and rhs is
linear.weight.T.… See the full description on the dataset page: https://huggingface.co/datasets/9Tempest/lp-gemm-wan2-2-ti2v-5b-480p.TI2V-BenchThis is the official repository of TI2V-Bench dataset proposed in the paper MotiF: Making Text Count in Image Animation with Motion Focal Loss.
TI2V-Bench comprises text-image pairs from 22 diverse scenarios featuring a variety of objects and scenes. Each scenario includes 3 to 5 images with similar content presented in different styles, alongside multiple distinct prompts designed to animate these images and generate varied outputs. The benchmark includes a total of 320 image-text pairs… See the full description on the dataset page: https://huggingface.co/datasets/wang-sj16/TI2V-Bench.hoi4d-ti2v-outputwan22-ti2v-5bInfo_Wan_Video_2.2_TI2V-5B
Model Index by Creator
Ada321 Page
Model
Base Model
Full Model Page
Archive Link
Self-Forcing / CausVid / Accvid Lora, massive speed up for Wan2.1 made by Kijai
Wan Video 2.2 I2V-A14B
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Version Links
Model
Version
Base Model
Version Link
Self-Forcing / CausVid / Accvid Lora, massive speed up for Wan2.1 made by Kijai
2.2 Lightning I2V H
Wan Video 2.2 I2V-A14B
View
Self-Forcing / CausVid / Accvid Lora, massive speed up for Wan2.1 made… See the full description on the dataset page: https://huggingface.co/datasets/ApacheOne/Info_Wan_Video_2.2_TI2V-5B.hoi4d-ti2v