Upload folder using huggingface_hub

.gitattributes

@@ -33,3 +33,5 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 *.zip filter=lfs diff=lfs merge=lfs -text
 *.zst filter=lfs diff=lfs merge=lfs -text
 *tfevents* filter=lfs diff=lfs merge=lfs -text
+readme_src/font_30s.png filter=lfs diff=lfs merge=lfs -text
+readme_src/output_30s.mp4 filter=lfs diff=lfs merge=lfs -text

.mv

@@ -1 +1 @@
-Revision:master,CreatedAt:1739686571
+Revision:master,CreatedAt:1740633504

readme_src/output_30s.mp4

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:75bc0de6294b6aa1c327f5befa232855c2fcea28ed6b22fd78a4d863c79f559c
+size 4748564

stage3/transformer/config.json

@@ -1,7 +1,7 @@
 {
   "_class_name": "CogVideoXTransformer3DModel",
   "_diffusers_version": "0.31.0",
-  "_name_or_path": "../saved_checkpoints/stage2_step10000",
+  "_name_or_path": "../saved_checkpoints/stage3_step27000",
   "activation_fn": "gelu-approximate",
   "attention_bias": true,
   "attention_head_dim": 64,

stage3/transformer/diffusion_pytorch_model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:143bc02eb219ef5735143d4329c7c0a6e0496af7c7535688648cfd0efb49fee2
+oid sha256:9502802470a89359382aad39d38839509f5a6ee028da53f4af20fdc526704a9b
 size 4019202520

upload.py

@@ -7,15 +7,15 @@ api.login(YOUR_ACCESS_TOKEN)
 owner_name = 'AiurRuili'
 dataset_name = 'TheMatrix'
 
-for idx in range(1, 4):
-    while True:
-        try:
-            api.upload_folder(
-                repo_id=f"{owner_name}/{dataset_name}",
-                folder_path=f'/mnt/workspace/workgroup/temporary/zhantao/TheMatrix',
-                commit_message='upload dataset folder to repo',
-                repo_type = 'model'
-            )
-            break
-        except:
-            pass
+# for idx in range(1, 4):
+while True:
+    try:
+        api.upload_folder(
+            repo_id=f"{owner_name}/{dataset_name}",
+            folder_path=f'/mnt/workspace/workgroup/temporary/zhantao/TheMatrix',
+            commit_message='upload dataset folder to repo',
+            repo_type = 'model'
+        )
+        break
+    except:
+        pass