End of training

README.md

@@ -1,7 +1,7 @@
 
 ---
 license: creativeml-openrail-m
-base_model: stabilityai/stable-diffusion-2-1
+base_model: runwayml/stable-diffusion-v1-5
 instance_prompt: A photo of a young people sleeping in front of a computer
 tags:
 - stable-diffusion
@@ -14,7 +14,7 @@ inference: true
     
 # DreamBooth - Redamancy2299/dreambooth3
 
-This is a dreambooth model derived from stabilityai/stable-diffusion-2-1. The weights were trained on A photo of a young people sleeping in front of a computer using [DreamBooth](https://dreambooth.github.io/).
+This is a dreambooth model derived from runwayml/stable-diffusion-v1-5. The weights were trained on A photo of a young people sleeping in front of a computer using [DreamBooth](https://dreambooth.github.io/).
 You can find some example images in the following. 
 
 

checkpoint-1000/optimizer.bin

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checkpoint-1000/random_states_0.pkl

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checkpoint-1000/scaler.pt

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checkpoint-1000/unet/config.json

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 {
   "_class_name": "UNet2DConditionModel",
   "_diffusers_version": "0.18.0.dev0",
-  "_name_or_path": "stabilityai/stable-diffusion-2-1",
+  "_name_or_path": "runwayml/stable-diffusion-v1-5",
   "act_fn": "silu",
   "addition_embed_type": null,
   "addition_embed_type_num_heads": 64,
-  "attention_head_dim": [
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-  ],
+  "attention_head_dim": 8,
   "block_out_channels": [
     320,
     640,
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   "class_embeddings_concat": false,
   "conv_in_kernel": 3,
   "conv_out_kernel": 3,
-  "cross_attention_dim": 1024,
+  "cross_attention_dim": 768,
   "cross_attention_norm": null,
   "down_block_types": [
     "CrossAttnDownBlock2D",
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   "resnet_out_scale_factor": 1.0,
   "resnet_skip_time_act": false,
   "resnet_time_scale_shift": "default",
-  "sample_size": 96,
+  "sample_size": 64,
   "time_cond_proj_dim": null,
   "time_embedding_act_fn": null,
   "time_embedding_dim": null,
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     "CrossAttnUpBlock2D",
     "CrossAttnUpBlock2D"
   ],
-  "upcast_attention": true,
-  "use_linear_projection": true
+  "upcast_attention": false,
+  "use_linear_projection": false
 }

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checkpoint-500/scaler.pt

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checkpoint-500/unet/config.json

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 {
   "_class_name": "UNet2DConditionModel",
   "_diffusers_version": "0.18.0.dev0",
-  "_name_or_path": "stabilityai/stable-diffusion-2-1",
+  "_name_or_path": "runwayml/stable-diffusion-v1-5",
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   "class_embeddings_concat": false,
   "conv_in_kernel": 3,
   "conv_out_kernel": 3,
-  "cross_attention_dim": 1024,
+  "cross_attention_dim": 768,
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   "down_block_types": [
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   "resnet_out_scale_factor": 1.0,
   "resnet_skip_time_act": false,
   "resnet_time_scale_shift": "default",
-  "sample_size": 96,
+  "sample_size": 64,
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     "CrossAttnUpBlock2D",
     "CrossAttnUpBlock2D"
   ],
-  "upcast_attention": true,
-  "use_linear_projection": true
+  "upcast_attention": false,
+  "use_linear_projection": false
 }

checkpoint-500/unet/diffusion_pytorch_model.bin

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logs/dreambooth/1688740699.9952476/events.out.tfevents.1688740699.szth-acg-bcc04f1143.szth.baidu.com.36729.1

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logs/dreambooth/1688740699.9970224/hparams.yml

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+adam_weight_decay: 0.01
+allow_tf32: false
+center_crop: false
+checkpointing_steps: 500
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+dataloader_num_workers: 0
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+gradient_accumulation_steps: 1
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+instance_data_dir: ./sleep2
+instance_prompt: A photo of a young people sleeping in front of a computer
+learning_rate: 1.0e-06
+local_rank: 0
+logging_dir: logs
+lr_num_cycles: 1
+lr_power: 1.0
+lr_scheduler: constant
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+max_train_steps: 1200
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+num_class_images: 100
+num_train_epochs: 1200
+num_validation_images: 4
+offset_noise: false
+output_dir: sd_output/dreambooth3
+pre_compute_text_embeddings: false
+pretrained_model_name_or_path: runwayml/stable-diffusion-v1-5
+prior_generation_precision: null
+prior_loss_weight: 1.0
+push_to_hub: true
+report_to: tensorboard
+resolution: 512
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+train_text_encoder: false
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+validation_images: null
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model_index.json

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-  "requires_safety_checker": false,
+  "requires_safety_checker": true,
   "safety_checker": [
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safety_checker/config.json

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scheduler/scheduler_config.json

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 {
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+  "_class_name": "PNDMScheduler",
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   "beta_schedule": "scaled_linear",
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text_encoder/config.json

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 {
-  "_name_or_path": "stabilityai/stable-diffusion-2-1",
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   "architectures": [
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tokenizer/special_tokens_map.json

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tokenizer/tokenizer_config.json

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   "special_tokens_map_file": "./special_tokens_map.json",
   "tokenizer_class": "CLIPTokenizer",

unet/config.json

@@ -1,16 +1,11 @@
 {
   "_class_name": "UNet2DConditionModel",
   "_diffusers_version": "0.18.0.dev0",
-  "_name_or_path": "stabilityai/stable-diffusion-2-1",
+  "_name_or_path": "runwayml/stable-diffusion-v1-5",
   "act_fn": "silu",
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   "addition_embed_type_num_heads": 64,
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   "block_out_channels": [
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     640,
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   "class_embeddings_concat": false,
   "conv_in_kernel": 3,
   "conv_out_kernel": 3,
-  "cross_attention_dim": 1024,
+  "cross_attention_dim": 768,
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   "down_block_types": [
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   "resnet_out_scale_factor": 1.0,
   "resnet_skip_time_act": false,
   "resnet_time_scale_shift": "default",
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+  "sample_size": 64,
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     "CrossAttnUpBlock2D",
     "CrossAttnUpBlock2D"
   ],
-  "upcast_attention": true,
-  "use_linear_projection": true
+  "upcast_attention": false,
+  "use_linear_projection": false
 }

unet/diffusion_pytorch_model.bin

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vae/config.json

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 {
   "_class_name": "AutoencoderKL",
   "_diffusers_version": "0.18.0.dev0",
-  "_name_or_path": "/home/fuhongtao/.cache/huggingface/hub/models--stabilityai--stable-diffusion-2-1/snapshots/5cae40e6a2745ae2b01ad92ae5043f95f23644d6/vae",
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   "act_fn": "silu",
   "block_out_channels": [
     128,
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   "norm_num_groups": 32,
   "out_channels": 3,
-  "sample_size": 768,
+  "sample_size": 512,
   "scaling_factor": 0.18215,
   "up_block_types": [
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