Upload folder using huggingface_hub

model_index.json

@@ -37,6 +37,6 @@
   ],
   "vae": [
     "diffusers",
-    "AutoencoderTiny"
+    "AutoencoderKL"
   ]
 }

vae/config.json

@@ -1,45 +1,37 @@
 {
-  "_class_name": "AutoencoderTiny",
+  "_class_name": "AutoencoderKL",
   "_diffusers_version": "0.29.0",
   "_name_or_path": "model/vae",
-  "act_fn": "relu",
+  "act_fn": "silu",
   "block_out_channels": [
-    64,
-    64,
-    64,
-    64
+    128,
+    256,
+    512,
+    512
   ],
-  "decoder_block_out_channels": [
-    64,
-    64,
-    64,
-    64
+  "down_block_types": [
+    "DownEncoderBlock2D",
+    "DownEncoderBlock2D",
+    "DownEncoderBlock2D",
+    "DownEncoderBlock2D"
   ],
-  "encoder_block_out_channels": [
-    64,
-    64,
-    64,
-    64
-  ],
-  "force_upcast": false,
+  "force_upcast": true,
   "in_channels": 3,
   "latent_channels": 4,
-  "latent_magnitude": 3,
-  "latent_shift": 0.5,
-  "num_decoder_blocks": [
-    3,
-    3,
-    3,
-    1
-  ],
-  "num_encoder_blocks": [
-    1,
-    3,
-    3,
-    3
-  ],
+  "latents_mean": null,
+  "latents_std": null,
+  "layers_per_block": 2,
+  "norm_num_groups": 32,
   "out_channels": 3,
-  "scaling_factor": 1.0,
-  "upsample_fn": "nearest",
-  "upsampling_scaling_factor": 2
+  "sample_size": 1024,
+  "scaling_factor": 0.13025,
+  "shift_factor": null,
+  "up_block_types": [
+    "UpDecoderBlock2D",
+    "UpDecoderBlock2D",
+    "UpDecoderBlock2D",
+    "UpDecoderBlock2D"
+  ],
+  "use_post_quant_conv": true,
+  "use_quant_conv": true
 }

vae/diffusion_pytorch_model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:9faeeb35616502214879897dd5db906f0e1144b2d20e198b97cd07c1d0d74c15
-size 4903134
+oid sha256:915b909d0eeef5985462226b2c9950ca9da42b5a6ec8c296c2e73f6419ae465c
+size 167335342