End of training

README.md

@@ -2,7 +2,7 @@
 ---
 license: creativeml-openrail-m
 base_model: CompVis/stable-diffusion-v1-4
-instance_prompt: a photo of person Omer
+instance_prompt: a photo of person omer
 tags:
 - stable-diffusion
 - stable-diffusion-diffusers
@@ -14,7 +14,7 @@ inference: true
     
 # DreamBooth - omersen/omer-model
 
-This is a dreambooth model derived from CompVis/stable-diffusion-v1-4. The weights were trained on a photo of person Omer using [DreamBooth](https://dreambooth.github.io/).
+This is a dreambooth model derived from CompVis/stable-diffusion-v1-4. The weights were trained on a photo of person omer 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/unet/config.json

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+{
+  "_class_name": "UNet2DConditionModel",
+  "_diffusers_version": "0.20.0.dev0",
+  "_name_or_path": "CompVis/stable-diffusion-v1-4",
+  "act_fn": "silu",
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+  "cross_attention_dim": 768,
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+  "down_block_types": [
+    "CrossAttnDownBlock2D",
+    "CrossAttnDownBlock2D",
+    "CrossAttnDownBlock2D",
+    "DownBlock2D"
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+  "flip_sin_to_cos": true,
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+  "mid_block_scale_factor": 1,
+  "mid_block_type": "UNetMidBlock2DCrossAttn",
+  "norm_eps": 1e-05,
+  "norm_num_groups": 32,
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+  "num_class_embeds": null,
+  "only_cross_attention": false,
+  "out_channels": 4,
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+  "resnet_out_scale_factor": 1.0,
+  "resnet_skip_time_act": false,
+  "resnet_time_scale_shift": "default",
+  "sample_size": 64,
+  "time_cond_proj_dim": null,
+  "time_embedding_act_fn": null,
+  "time_embedding_dim": null,
+  "time_embedding_type": "positional",
+  "timestep_post_act": null,
+  "transformer_layers_per_block": 1,
+  "up_block_types": [
+    "UpBlock2D",
+    "CrossAttnUpBlock2D",
+    "CrossAttnUpBlock2D",
+    "CrossAttnUpBlock2D"
+  ],
+  "upcast_attention": false,
+  "use_linear_projection": false
+}

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+adam_beta2: 0.999
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+checkpointing_steps: 500
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+instance_data_dir: ./omer
+instance_prompt: a photo of person Omer
+learning_rate: 5.0e-06
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+logging_dir: logs
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+max_train_steps: 2000
+mixed_precision: null
+num_class_images: 500
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+offset_noise: false
+output_dir: ./omer-model
+pre_compute_text_embeddings: false
+pretrained_model_name_or_path: CompVis/stable-diffusion-v1-4
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+prior_loss_weight: 1.0
+push_to_hub: true
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+use_8bit_adam: true
+validation_prompt: null
+validation_steps: 100
+with_prior_preservation: true

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