Upload 12 files

model_index.json

@@ -1,14 +1,14 @@
 {
   "_class_name": "StableDiffusionPipeline",
-  "_diffusers_version": "0.13.0.dev0",
+  "_diffusers_version": "0.12.1",
   "feature_extractor": [
-    "transformers",
-    "CLIPFeatureExtractor"
+    null,
+    null
   ],
-  "requires_safety_checker": true,
+  "requires_safety_checker": false,
   "safety_checker": [
-    "stable_diffusion",
-    "StableDiffusionSafetyChecker"
+    null,
+    null
   ],
   "scheduler": [
     "diffusers",

scheduler/scheduler_config.json

@@ -1,6 +1,6 @@
 {
   "_class_name": "PNDMScheduler",
-  "_diffusers_version": "0.13.0.dev0",
+  "_diffusers_version": "0.12.1",
   "beta_end": 0.012,
   "beta_schedule": "scaled_linear",
   "beta_start": 0.00085,

text_encoder/config.json

@@ -1,5 +1,5 @@
 {
-  "_name_or_path": "openai/clip-vit-large-patch14",
+  "_name_or_path": "converted/Anything.ckpt/text_encoder",
   "architectures": [
     "CLIPTextModel"
   ],
@@ -19,7 +19,7 @@
   "num_hidden_layers": 12,
   "pad_token_id": 1,
   "projection_dim": 768,
-  "torch_dtype": "float32",
-  "transformers_version": "4.26.0",
+  "torch_dtype": "float16",
+  "transformers_version": "4.24.0",
   "vocab_size": 49408
 }

text_encoder/pytorch_model.bin

@@ -1,3 +1,3 @@
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-size 492307041
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+size 246188833

tokenizer/tokenizer_config.json

@@ -19,7 +19,7 @@
   },
   "errors": "replace",
   "model_max_length": 77,
-  "name_or_path": "openai/clip-vit-large-patch14",
+  "name_or_path": "converted/Anything.ckpt/tokenizer",
   "pad_token": "<|endoftext|>",
   "special_tokens_map_file": "./special_tokens_map.json",
   "tokenizer_class": "CLIPTokenizer",

unet/config.json

@@ -1,6 +1,7 @@
 {
   "_class_name": "UNet2DConditionModel",
-  "_diffusers_version": "0.13.0.dev0",
+  "_diffusers_version": "0.12.1",
+  "_name_or_path": "converted/Anything.ckpt/unet",
   "act_fn": "silu",
   "attention_head_dim": 8,
   "block_out_channels": [

unet/diffusion_pytorch_model.bin

@@ -1,3 +1,3 @@
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+size 1719334053

vae/config.json

@@ -1,6 +1,7 @@
 {
   "_class_name": "AutoencoderKL",
-  "_diffusers_version": "0.13.0.dev0",
+  "_diffusers_version": "0.12.1",
+  "_name_or_path": "converted/Anything.ckpt/vae",
   "act_fn": "silu",
   "block_out_channels": [
     128,
@@ -20,7 +21,6 @@
   "norm_num_groups": 32,
   "out_channels": 3,
   "sample_size": 512,
-  "scaling_factor": 0.18215,
   "up_block_types": [
     "UpDecoderBlock2D",
     "UpDecoderBlock2D",

vae/diffusion_pytorch_model.bin

@@ -1,3 +1,3 @@
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