End of training
Browse filesThis view is limited to 50 files because it contains too many changes.
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- README.md +28 -0
- checkpoint-1050/optimizer.bin +3 -0
- checkpoint-1050/random_states_0.pkl +3 -0
- checkpoint-1050/scaler.pt +3 -0
- checkpoint-1050/scheduler.bin +3 -0
- checkpoint-1050/text_encoder/config.json +25 -0
- checkpoint-1050/text_encoder/model.safetensors +3 -0
- checkpoint-1050/unet/config.json +68 -0
- checkpoint-1050/unet/diffusion_pytorch_model.safetensors +3 -0
- checkpoint-1200/optimizer.bin +3 -0
- checkpoint-1200/random_states_0.pkl +3 -0
- checkpoint-1200/scaler.pt +3 -0
- checkpoint-1200/scheduler.bin +3 -0
- checkpoint-1200/text_encoder/config.json +25 -0
- checkpoint-1200/text_encoder/model.safetensors +3 -0
- checkpoint-1200/unet/config.json +68 -0
- checkpoint-1200/unet/diffusion_pytorch_model.safetensors +3 -0
- checkpoint-1350/optimizer.bin +3 -0
- checkpoint-1350/random_states_0.pkl +3 -0
- checkpoint-1350/scaler.pt +3 -0
- checkpoint-1350/scheduler.bin +3 -0
- checkpoint-1350/text_encoder/config.json +25 -0
- checkpoint-1350/text_encoder/model.safetensors +3 -0
- checkpoint-1350/unet/config.json +68 -0
- checkpoint-1350/unet/diffusion_pytorch_model.safetensors +3 -0
- checkpoint-150/optimizer.bin +3 -0
- checkpoint-150/random_states_0.pkl +3 -0
- checkpoint-150/scaler.pt +3 -0
- checkpoint-150/scheduler.bin +3 -0
- checkpoint-150/text_encoder/config.json +25 -0
- checkpoint-150/text_encoder/model.safetensors +3 -0
- checkpoint-150/unet/config.json +68 -0
- checkpoint-150/unet/diffusion_pytorch_model.safetensors +3 -0
- checkpoint-1500/optimizer.bin +3 -0
- checkpoint-1500/random_states_0.pkl +3 -0
- checkpoint-1500/scaler.pt +3 -0
- checkpoint-1500/scheduler.bin +3 -0
- checkpoint-1500/text_encoder/config.json +25 -0
- checkpoint-1500/text_encoder/model.safetensors +3 -0
- checkpoint-1500/unet/config.json +68 -0
- checkpoint-1500/unet/diffusion_pytorch_model.safetensors +3 -0
- checkpoint-1650/optimizer.bin +3 -0
- checkpoint-1650/random_states_0.pkl +3 -0
- checkpoint-1650/scaler.pt +3 -0
- checkpoint-1650/scheduler.bin +3 -0
- checkpoint-1650/text_encoder/config.json +25 -0
- checkpoint-1650/text_encoder/model.safetensors +3 -0
- checkpoint-1650/unet/config.json +68 -0
- checkpoint-1650/unet/diffusion_pytorch_model.safetensors +3 -0
- checkpoint-1800/optimizer.bin +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: TOKstyle georgeclooney
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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 - crom87/sd_base-db-selfies1-2e-06-priorp-100-gc
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This is a dreambooth model derived from runwayml/stable-diffusion-v1-5. The weights were trained on TOKstyle georgeclooney 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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![img_4](./image_4.png)
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![img_5](./image_5.png)
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DreamBooth for the text encoder was enabled: True.
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checkpoint-1050/optimizer.bin
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checkpoint-1050/random_states_0.pkl
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checkpoint-1050/scaler.pt
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checkpoint-1050/scheduler.bin
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checkpoint-1050/text_encoder/config.json
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{
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"_name_or_path": "runwayml/stable-diffusion-v1-5",
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"architectures": [
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"CLIPTextModel"
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],
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"attention_dropout": 0.0,
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"bos_token_id": 0,
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"dropout": 0.0,
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"eos_token_id": 2,
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"hidden_act": "quick_gelu",
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"hidden_size": 768,
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"initializer_factor": 1.0,
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"initializer_range": 0.02,
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"intermediate_size": 3072,
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"layer_norm_eps": 1e-05,
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"max_position_embeddings": 77,
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"model_type": "clip_text_model",
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"num_attention_heads": 12,
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"num_hidden_layers": 12,
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"pad_token_id": 1,
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"projection_dim": 768,
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"torch_dtype": "float32",
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"transformers_version": "4.35.2",
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"vocab_size": 49408
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}
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checkpoint-1050/text_encoder/model.safetensors
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checkpoint-1050/unet/config.json
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{
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"_class_name": "UNet2DConditionModel",
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"_diffusers_version": "0.23.1",
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"_name_or_path": "runwayml/stable-diffusion-v1-5",
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"act_fn": "silu",
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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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320,
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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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"out_channels": 4,
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"projection_class_embeddings_input_dim": null,
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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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}
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checkpoint-1050/unet/diffusion_pytorch_model.safetensors
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checkpoint-1200/optimizer.bin
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checkpoint-1200/random_states_0.pkl
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checkpoint-1200/scaler.pt
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checkpoint-1200/scheduler.bin
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checkpoint-1200/text_encoder/config.json
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{
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"_name_or_path": "runwayml/stable-diffusion-v1-5",
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"architectures": [
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"CLIPTextModel"
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],
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checkpoint-1200/text_encoder/model.safetensors
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checkpoint-1200/unet/config.json
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checkpoint-1500/text_encoder/config.json
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@@ -0,0 +1,25 @@
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checkpoint-1500/unet/config.json
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checkpoint-1650/text_encoder/config.json
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checkpoint-1650/unet/config.json
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