convert weights

unet/config.json

@@ -3,12 +3,6 @@
   "_diffusers_version": "0.0.4",
   "act_fn": "silu",
   "attention_head_dim": 8,
-  "block_channels": [
-    320,
-    640,
-    1280,
-    1280
-  ],
   "block_out_channels": [
     320,
     640,
@@ -16,30 +10,23 @@
     1280
   ],
   "center_input_sample": false,
-  "down_blocks": [
+  "down_block_types": [
     "CrossAttnDownBlock2D",
     "CrossAttnDownBlock2D",
     "CrossAttnDownBlock2D",
     "DownBlock2D"
   ],
   "downsample_padding": 1,
-  "downscale_freq_shift": 0,
   "flip_sin_to_cos": true,
   "freq_shift": 0,
-  "image_size": null,
   "in_channels": 4,
   "layers_per_block": 2,
   "mid_block_scale_factor": 1,
   "norm_eps": 1e-05,
   "norm_num_groups": 32,
-  "num_head_channels": 8,
-  "num_res_blocks": 2,
   "out_channels": 4,
-  "resnet_act_fn": "silu",
-  "resnet_eps": 1e-05,
-  "resnet_num_groups": 30,
   "sample_size": 32,
-  "up_blocks": [
+  "up_block_types": [
     "UpBlock2D",
     "CrossAttnUpBlock2D",
     "CrossAttnUpBlock2D",

unet/diffusion_pytorch_model.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:7fc9295026da8bcbbf4eedfe41714d4691e954ebcfbed224010c8bcd5aaea5e2
-size 3489480869
+oid sha256:61459453cb8e411842ff1c109da94129f94349d46e579dbec303449aa74f07bf
+size 3489472805