End of training
Browse files- README.md +26 -0
- checkpoint-200/optimizer.bin +3 -0
- checkpoint-200/random_states_0.pkl +3 -0
- checkpoint-200/scheduler.bin +3 -0
- checkpoint-200/unet/config.json +68 -0
- checkpoint-200/unet/diffusion_pytorch_model.safetensors +3 -0
- checkpoint-400/optimizer.bin +3 -0
- checkpoint-400/random_states_0.pkl +3 -0
- checkpoint-400/scheduler.bin +3 -0
- checkpoint-400/unet/config.json +68 -0
- checkpoint-400/unet/diffusion_pytorch_model.safetensors +3 -0
- checkpoint-600/optimizer.bin +3 -0
- checkpoint-600/random_states_0.pkl +3 -0
- checkpoint-600/scheduler.bin +3 -0
- checkpoint-600/unet/config.json +68 -0
- checkpoint-600/unet/diffusion_pytorch_model.safetensors +3 -0
- checkpoint-800/optimizer.bin +3 -0
- checkpoint-800/random_states_0.pkl +3 -0
- checkpoint-800/scheduler.bin +3 -0
- checkpoint-800/unet/config.json +68 -0
- checkpoint-800/unet/diffusion_pytorch_model.safetensors +3 -0
- feature_extractor/preprocessor_config.json +28 -0
- image_0.png +0 -0
- image_1.png +0 -0
- image_2.png +0 -0
- image_3.png +0 -0
- model_index.json +38 -0
- safety_checker/config.json +28 -0
- safety_checker/model.safetensors +3 -0
- scheduler/scheduler_config.json +15 -0
- text_encoder/config.json +25 -0
- text_encoder/model.safetensors +3 -0
- tokenizer/merges.txt +0 -0
- tokenizer/special_tokens_map.json +24 -0
- tokenizer/tokenizer_config.json +30 -0
- tokenizer/vocab.json +0 -0
- unet/config.json +68 -0
- unet/diffusion_pytorch_model.safetensors +3 -0
- vae/config.json +32 -0
- vae/diffusion_pytorch_model.safetensors +3 -0
README.md
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---
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license: creativeml-openrail-m
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base_model: runwayml/stable-diffusion-v1-5
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instance_prompt: a photo of sks dog
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tags:
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- stable-diffusion
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- stable-diffusion-diffusers
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- text-to-image
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- diffusers
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- dreambooth
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inference: true
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---
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# DreamBooth - apexmin/dog2
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This is a dreambooth model derived from runwayml/stable-diffusion-v1-5. The weights were trained on a photo of sks dog using [DreamBooth](https://dreambooth.github.io/).
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You can find some example images in the following.
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![img_0](./image_0.png)
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![img_1](./image_1.png)
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![img_2](./image_2.png)
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![img_3](./image_3.png)
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DreamBooth for the text encoder was enabled: False.
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checkpoint-200/optimizer.bin
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checkpoint-200/random_states_0.pkl
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checkpoint-200/scheduler.bin
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checkpoint-200/unet/config.json
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{
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"_class_name": "UNet2DConditionModel",
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"_diffusers_version": "0.26.3",
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"_name_or_path": "runwayml/stable-diffusion-v1-5",
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"act_fn": "silu",
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"addition_embed_type": null,
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"addition_embed_type_num_heads": 64,
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"addition_time_embed_dim": null,
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"attention_head_dim": 8,
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"attention_type": "default",
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"block_out_channels": [
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"center_input_sample": false,
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"class_embeddings_concat": false,
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"conv_in_kernel": 3,
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"conv_out_kernel": 3,
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"cross_attention_dim": 768,
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"cross_attention_norm": null,
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"down_block_types": [
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"CrossAttnDownBlock2D",
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"CrossAttnDownBlock2D",
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"CrossAttnDownBlock2D",
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"DownBlock2D"
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],
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"downsample_padding": 1,
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"dropout": 0.0,
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"dual_cross_attention": false,
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"encoder_hid_dim": null,
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"encoder_hid_dim_type": null,
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"flip_sin_to_cos": true,
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"freq_shift": 0,
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"in_channels": 4,
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"layers_per_block": 2,
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"mid_block_only_cross_attention": null,
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"mid_block_scale_factor": 1,
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"mid_block_type": "UNetMidBlock2DCrossAttn",
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"norm_eps": 1e-05,
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"norm_num_groups": 32,
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"num_attention_heads": null,
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"num_class_embeds": null,
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"only_cross_attention": false,
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"out_channels": 4,
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"resnet_out_scale_factor": 1.0,
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"resnet_skip_time_act": false,
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"resnet_time_scale_shift": "default",
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"reverse_transformer_layers_per_block": null,
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"sample_size": 64,
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"time_cond_proj_dim": null,
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"time_embedding_act_fn": null,
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"time_embedding_dim": null,
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"time_embedding_type": "positional",
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"timestep_post_act": null,
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"transformer_layers_per_block": 1,
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"up_block_types": [
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"UpBlock2D",
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"CrossAttnUpBlock2D",
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"CrossAttnUpBlock2D",
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"CrossAttnUpBlock2D"
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],
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"upcast_attention": false,
|
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"use_linear_projection": false
|
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}
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checkpoint-200/unet/diffusion_pytorch_model.safetensors
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checkpoint-400/optimizer.bin
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checkpoint-400/random_states_0.pkl
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version https://git-lfs.github.com/spec/v1
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checkpoint-400/scheduler.bin
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checkpoint-400/unet/config.json
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{
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"cross_attention_dim": 768,
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"down_block_types": [
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"CrossAttnDownBlock2D",
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"CrossAttnDownBlock2D",
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"CrossAttnDownBlock2D",
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"DownBlock2D"
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"downsample_padding": 1,
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"in_channels": 4,
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"layers_per_block": 2,
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"mid_block_only_cross_attention": null,
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"mid_block_scale_factor": 1,
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"mid_block_type": "UNetMidBlock2DCrossAttn",
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"resnet_out_scale_factor": 1.0,
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"resnet_skip_time_act": false,
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"resnet_time_scale_shift": "default",
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"reverse_transformer_layers_per_block": null,
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"sample_size": 64,
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"time_cond_proj_dim": null,
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"time_embedding_type": "positional",
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"transformer_layers_per_block": 1,
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"up_block_types": [
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"UpBlock2D",
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"CrossAttnUpBlock2D",
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"CrossAttnUpBlock2D",
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"CrossAttnUpBlock2D"
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],
|
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"upcast_attention": false,
|
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"use_linear_projection": false
|
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}
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checkpoint-400/unet/diffusion_pytorch_model.safetensors
ADDED
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checkpoint-600/optimizer.bin
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checkpoint-600/random_states_0.pkl
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checkpoint-600/scheduler.bin
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checkpoint-600/unet/config.json
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{
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|
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|
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640,
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1280
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"class_embeddings_concat": false,
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|
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"down_block_types": [
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"CrossAttnDownBlock2D",
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"DownBlock2D"
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"norm_num_groups": 32,
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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tokenizer/vocab.json
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unet/config.json
ADDED
@@ -0,0 +1,68 @@
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|
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|
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unet/diffusion_pytorch_model.safetensors
ADDED
@@ -0,0 +1,3 @@
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vae/config.json
ADDED
@@ -0,0 +1,32 @@
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