add the pruned weights

VQGAN_autoencoder.pth

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+version https://git-lfs.github.com/spec/v1
+oid sha256:930e9865584beae2405d29bc06a05db3bb6a5b34eedd40a7db29b9156ed7d098
+size 2607657443

configuration.json

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+{   "framework": "pytorch",
+    "task": "text-to-video-synthesis",
+    "model": {
+        "type": "latent-text-to-video-synthesis",
+        "model_args": {
+            "ckpt_clip": "open_clip_pytorch_model.bin",
+            "ckpt_unet": "text2video_pytorch_model.pth",
+            "ckpt_autoencoder": "VQGAN_autoencoder.pth",
+            "max_frames": 16,
+            "tiny_gpu": 1
+        },
+        "model_cfg": {
+            "unet_in_dim": 4,
+            "unet_dim": 320,
+            "unet_y_dim": 768,
+            "unet_context_dim": 1024,
+            "unet_out_dim": 4,
+            "unet_dim_mult": [1, 2, 4, 4],
+            "unet_num_heads": 8,
+            "unet_head_dim": 64,
+            "unet_res_blocks": 2,
+            "unet_attn_scales": [1, 0.5, 0.25],
+            "unet_dropout": 0.1,
+            "temporal_attention": "True",
+            "num_timesteps": 1000,
+            "mean_type": "eps",
+            "var_type": "fixed_small",
+            "loss_type": "mse"
+        }
+    },
+    "pipeline": {
+        "type": "latent-text-to-video-synthesis"
+    }
+}
+

open_clip_pytorch_model.bin

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+version https://git-lfs.github.com/spec/v1
+oid sha256:73c32c62eebf1112b0693ff9e3ecfa0573ba02cd279420ea4da4af1cbfb39e3b
+size 1972451989

text2video_pytorch_model.pth

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+version https://git-lfs.github.com/spec/v1
+oid sha256:cbba5db98d5432378f9ccdb6bd572768c7ff190dd83b9b76c3218594c793fedd
+size 2823000429