Aedancodes
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End of training
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- README.md +47 -0
- checkpoint-200/optimizer.bin +3 -0
- checkpoint-200/random_states_0.pkl +3 -0
- checkpoint-200/scaler.pt +3 -0
- checkpoint-200/scheduler.bin +3 -0
- checkpoint-200/text_encoder/config.json +25 -0
- checkpoint-200/text_encoder/model.safetensors +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/scaler.pt +3 -0
- checkpoint-400/scheduler.bin +3 -0
- checkpoint-400/text_encoder/config.json +25 -0
- checkpoint-400/text_encoder/model.safetensors +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/scaler.pt +3 -0
- checkpoint-600/scheduler.bin +3 -0
- checkpoint-600/text_encoder/config.json +25 -0
- checkpoint-600/text_encoder/model.safetensors +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/scaler.pt +3 -0
- checkpoint-800/scheduler.bin +3 -0
- checkpoint-800/text_encoder/config.json +25 -0
- checkpoint-800/text_encoder/model.safetensors +3 -0
- checkpoint-800/unet/config.json +68 -0
- checkpoint-800/unet/diffusion_pytorch_model.safetensors +3 -0
- feature_extractor/preprocessor_config.json +44 -0
- image_0.png +0 -0
- image_1.png +0 -0
- image_2.png +0 -0
- image_3.png +0 -0
- logs/dreambooth/1720696502.8170402/events.out.tfevents.1720696502.bb2ae4c9ee8e.13480.1 +3 -0
- logs/dreambooth/1720696502.819109/hparams.yml +60 -0
- logs/dreambooth/events.out.tfevents.1720696502.bb2ae4c9ee8e.13480.0 +3 -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
README.md
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---
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base_model: runwayml/stable-diffusion-v1-5
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library_name: diffusers
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license: creativeml-openrail-m
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tags:
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- text-to-image
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- dreambooth
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- diffusers-training
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- stable-diffusion
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- stable-diffusion-diffusers
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inference: true
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instance_prompt: An image in the style of zhr james jean
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---
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<!-- This model card has been generated automatically according to the information the training script had access to. You
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should probably proofread and complete it, then remove this comment. -->
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# DreamBooth - Aedancodes/jj_text_encoder_trainedv2
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This is a dreambooth model derived from runwayml/stable-diffusion-v1-5. The weights were trained on An image in the style of zhr james jean 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: True.
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## Intended uses & limitations
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#### How to use
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```python
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# TODO: add an example code snippet for running this diffusion pipeline
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```
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#### Limitations and bias
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[TODO: provide examples of latent issues and potential remediations]
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## Training details
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[TODO: describe the data used to train the model]
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checkpoint-200/optimizer.bin
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checkpoint-200/random_states_0.pkl
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checkpoint-200/scaler.pt
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checkpoint-200/scheduler.bin
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checkpoint-200/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": "4.41.2",
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"vocab_size": 49408
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}
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checkpoint-200/text_encoder/model.safetensors
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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": "0.30.0.dev0",
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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_num_heads": 64,
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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_embed_type": null,
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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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"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_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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"only_cross_attention": false,
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"out_channels": 4,
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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/random_states_0.pkl
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checkpoint-400/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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}
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checkpoint-400/unet/config.json
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{
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"_class_name": "UNet2DConditionModel",
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"_diffusers_version": "0.30.0.dev0",
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"conv_in_kernel": 3,
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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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