Use Vae-ft-mse-840000-ema-pruned

vae/config.json

@@ -1,6 +1,6 @@
 {
   "_class_name": "AutoencoderKL",
-  "_diffusers_version": "0.27.0.dev0",
+  "_diffusers_version": "0.28.0.dev0",
   "act_fn": "silu",
   "block_out_channels": [
     128,
@@ -17,6 +17,8 @@
   "force_upcast": true,
   "in_channels": 3,
   "latent_channels": 4,
+  "latents_mean": null,
+  "latents_std": null,
   "layers_per_block": 2,
   "norm_num_groups": 32,
   "out_channels": 3,

vae/diffusion_pytorch_model.fp16.safetensors

@@ -1,3 +0,0 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:ccb0d1730c9543fdd7f5d06eb048011568bda7cd433f729de8bea5b0bb070ad1
-size 334643268

vae/diffusion_pytorch_model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:ccb0d1730c9543fdd7f5d06eb048011568bda7cd433f729de8bea5b0bb070ad1
+oid sha256:fc436097e5cbb105c44df4403ae84acf7e81de1f64acfedc334888e9a8eea223
 size 334643268