End of training

safety_checker/config.json

@@ -1,6 +1,6 @@
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-  "_commit_hash": "c9ab35ff5f2c362e9e22fbafe278077e196057f0",
-  "_name_or_path": "/root/.cache/huggingface/hub/models--runwayml--stable-diffusion-v1-5/snapshots/c9ab35ff5f2c362e9e22fbafe278077e196057f0/safety_checker",
+  "_commit_hash": "574555a657f0c8d6e970a02c7e095e9d4220dcbf",
+  "_name_or_path": "/root/.cache/huggingface/hub/models--CompVis--stable-diffusion-v1-1/snapshots/574555a657f0c8d6e970a02c7e095e9d4220dcbf/safety_checker",
   "architectures": [
     "StableDiffusionSafetyChecker"
   ],
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     "bad_words_ids": null,
     "begin_suppress_tokens": null,
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     "early_stopping": false,
     "encoder_no_repeat_ngram_size": 0,
-    "eos_token_id": 2,
+    "eos_token_id": 49407,
     "exponential_decay_length_penalty": null,
     "finetuning_task": null,
     "forced_bos_token_id": null,
@@ -80,7 +80,7 @@
     "top_p": 1.0,
     "torch_dtype": null,
     "torchscript": false,
-    "transformers_version": "4.30.2",
+    "transformers_version": "4.31.0",
     "typical_p": 1.0,
     "use_bfloat16": false,
     "vocab_size": 49408
@@ -161,7 +161,7 @@
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     "torch_dtype": null,
     "torchscript": false,
-    "transformers_version": "4.30.2",
+    "transformers_version": "4.31.0",
     "typical_p": 1.0,
     "use_bfloat16": false
   }

safety_checker/pytorch_model.bin

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scheduler/scheduler_config.json

@@ -4,7 +4,6 @@
   "beta_end": 0.012,
   "beta_schedule": "scaled_linear",
   "beta_start": 0.00085,
-  "clip_sample": false,
   "num_train_timesteps": 1000,
   "prediction_type": "epsilon",
   "set_alpha_to_one": false,

text_encoder/config.json

@@ -1,5 +1,5 @@
 {
-  "_name_or_path": "runwayml/stable-diffusion-v1-5",
+  "_name_or_path": "CompVis/stable-diffusion-v1-1",
   "architectures": [
     "CLIPTextModel"
   ],
@@ -18,8 +18,8 @@
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   "num_hidden_layers": 12,
   "pad_token_id": 1,
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+  "projection_dim": 512,
   "torch_dtype": "float16",
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+  "transformers_version": "4.31.0",
   "vocab_size": 49408
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text_encoder/pytorch_model.bin

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unet/config.json

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 {
   "_class_name": "UNet2DConditionModel",
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-  "_name_or_path": "runwayml/stable-diffusion-v1-5",
+  "_name_or_path": "CompVis/stable-diffusion-v1-1",
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   "addition_embed_type_num_heads": 64,

unet/diffusion_pytorch_model.bin

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vae/config.json

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 {
   "_class_name": "AutoencoderKL",
   "_diffusers_version": "0.18.2",
-  "_name_or_path": "runwayml/stable-diffusion-v1-5",
+  "_name_or_path": "CompVis/stable-diffusion-v1-1",
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   "block_out_channels": [
     128,