End of training
Browse filesThis view is limited to 50 files because it contains too many changes.
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- .gitattributes +4 -0
- README.md +44 -0
- checkpoint-4000/optimizer.bin +3 -0
- checkpoint-4000/random_states_0.pkl +3 -0
- checkpoint-4000/scheduler.bin +3 -0
- checkpoint-4000/text_encoder/config.json +25 -0
- checkpoint-4000/text_encoder/model.safetensors +3 -0
- checkpoint-4000/unet/config.json +68 -0
- checkpoint-4000/unet/diffusion_pytorch_model.safetensors +3 -0
- checkpoint-4500/optimizer.bin +3 -0
- checkpoint-4500/random_states_0.pkl +3 -0
- checkpoint-4500/scheduler.bin +3 -0
- checkpoint-4500/text_encoder/config.json +25 -0
- checkpoint-4500/text_encoder/model.safetensors +3 -0
- checkpoint-4500/unet/config.json +68 -0
- checkpoint-4500/unet/diffusion_pytorch_model.safetensors +3 -0
- checkpoint-5000/optimizer.bin +3 -0
- checkpoint-5000/random_states_0.pkl +3 -0
- checkpoint-5000/scheduler.bin +3 -0
- checkpoint-5000/text_encoder/config.json +25 -0
- checkpoint-5000/text_encoder/model.safetensors +3 -0
- checkpoint-5000/unet/config.json +68 -0
- checkpoint-5000/unet/diffusion_pytorch_model.safetensors +3 -0
- checkpoint-5500/optimizer.bin +3 -0
- checkpoint-5500/random_states_0.pkl +3 -0
- checkpoint-5500/scheduler.bin +3 -0
- checkpoint-5500/text_encoder/config.json +25 -0
- checkpoint-5500/text_encoder/model.safetensors +3 -0
- checkpoint-5500/unet/config.json +68 -0
- checkpoint-5500/unet/diffusion_pytorch_model.safetensors +3 -0
- checkpoint-6000/optimizer.bin +3 -0
- checkpoint-6000/random_states_0.pkl +3 -0
- checkpoint-6000/scheduler.bin +3 -0
- checkpoint-6000/text_encoder/config.json +25 -0
- checkpoint-6000/text_encoder/model.safetensors +3 -0
- checkpoint-6000/unet/config.json +68 -0
- checkpoint-6000/unet/diffusion_pytorch_model.safetensors +3 -0
- feature_extractor/preprocessor_config.json +27 -0
- image_0.png +3 -0
- image_1.png +3 -0
- image_2.png +3 -0
- image_3.png +3 -0
- logs/dreambooth/1743823682.0735583/events.out.tfevents.1743823682.d57f9cfefe69.79779.1 +3 -0
- logs/dreambooth/1743823682.075835/hparams.yml +62 -0
- logs/dreambooth/1743847277.595793/events.out.tfevents.1743847277.d41117e5b20d.1167.1 +3 -0
- logs/dreambooth/1743847277.5980237/hparams.yml +62 -0
- logs/dreambooth/1743850927.6064548/events.out.tfevents.1743850927.d41117e5b20d.1836.1 +3 -0
- logs/dreambooth/1743850927.609008/hparams.yml +62 -0
- logs/dreambooth/1743963277.8025703/events.out.tfevents.1743963277.d41117e5b20d.5471.1 +3 -0
- logs/dreambooth/1743963277.8055859/hparams.yml +62 -0
.gitattributes
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@@ -33,3 +33,7 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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image_0.png filter=lfs diff=lfs merge=lfs -text
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README.md
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---
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base_model: stable-diffusion-v1-5/stable-diffusion-v1-5
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library_name: diffusers
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license: creativeml-openrail-m
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inference: true
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instance_prompt: A photo of a leaf with target-like lesions surrounded by yellow halos.
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hd, 4k
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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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---
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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 - ButterChicken98/pv_ts_v3
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This is a dreambooth model derived from stable-diffusion-v1-5/stable-diffusion-v1-5. The weights were trained on A photo of a leaf with target-like lesions surrounded by yellow halos. hd, 4k using [DreamBooth](https://dreambooth.github.io/).
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You can find some example images in the following.
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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-4000/optimizer.bin
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size 7861403640
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checkpoint-4000/random_states_0.pkl
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checkpoint-4000/scheduler.bin
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checkpoint-4000/text_encoder/config.json
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{
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"_name_or_path": "stable-diffusion-v1-5/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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| 16 |
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"max_position_embeddings": 77,
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| 17 |
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"model_type": "clip_text_model",
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| 18 |
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"num_attention_heads": 12,
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| 19 |
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"num_hidden_layers": 12,
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| 20 |
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"pad_token_id": 1,
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| 21 |
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"projection_dim": 768,
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| 22 |
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"torch_dtype": "float32",
|
| 23 |
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"transformers_version": "4.49.0",
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| 24 |
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"vocab_size": 49408
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| 25 |
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}
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checkpoint-4000/text_encoder/model.safetensors
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size 492265168
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checkpoint-4000/unet/config.json
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{
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"_class_name": "UNet2DConditionModel",
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| 3 |
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"_diffusers_version": "0.33.0.dev0",
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| 4 |
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"_name_or_path": "stable-diffusion-v1-5/stable-diffusion-v1-5",
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"act_fn": "silu",
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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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| 22 |
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"cross_attention_dim": 768,
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| 23 |
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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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| 27 |
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"CrossAttnDownBlock2D",
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"DownBlock2D"
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],
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| 30 |
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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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| 35 |
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"flip_sin_to_cos": true,
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| 36 |
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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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| 39 |
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| 40 |
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"mid_block_scale_factor": 1,
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| 41 |
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"mid_block_type": "UNetMidBlock2DCrossAttn",
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| 42 |
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"norm_eps": 1e-05,
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| 43 |
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"norm_num_groups": 32,
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| 44 |
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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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"sample_size": 64,
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"time_cond_proj_dim": null,
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"time_embedding_type": "positional",
|
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|
| 59 |
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"transformer_layers_per_block": 1,
|
| 60 |
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"up_block_types": [
|
| 61 |
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"UpBlock2D",
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| 62 |
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"CrossAttnUpBlock2D",
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| 63 |
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"CrossAttnUpBlock2D",
|
| 64 |
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"CrossAttnUpBlock2D"
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| 65 |
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],
|
| 66 |
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"upcast_attention": false,
|
| 67 |
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"use_linear_projection": false
|
| 68 |
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}
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checkpoint-4000/unet/diffusion_pytorch_model.safetensors
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checkpoint-4500/optimizer.bin
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checkpoint-4500/text_encoder/config.json
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{
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"_name_or_path": "stable-diffusion-v1-5/stable-diffusion-v1-5",
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| 3 |
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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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"dropout": 0.0,
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"hidden_act": "quick_gelu",
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"hidden_size": 768,
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| 12 |
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"initializer_factor": 1.0,
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| 13 |
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"initializer_range": 0.02,
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"intermediate_size": 3072,
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| 15 |
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"layer_norm_eps": 1e-05,
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| 16 |
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"max_position_embeddings": 77,
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| 17 |
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"model_type": "clip_text_model",
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| 18 |
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"num_attention_heads": 12,
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| 19 |
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"num_hidden_layers": 12,
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| 20 |
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"pad_token_id": 1,
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| 21 |
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"projection_dim": 768,
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| 22 |
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"torch_dtype": "float32",
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| 23 |
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"transformers_version": "4.49.0",
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| 24 |
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"vocab_size": 49408
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| 25 |
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}
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checkpoint-4500/text_encoder/model.safetensors
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checkpoint-4500/unet/config.json
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checkpoint-5000/text_encoder/config.json
ADDED
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|
| 3 |
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|
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|
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| 25 |
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checkpoint-5000/text_encoder/model.safetensors
ADDED
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checkpoint-5000/unet/config.json
ADDED
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|
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| 28 |
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| 29 |
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checkpoint-5000/unet/diffusion_pytorch_model.safetensors
ADDED
|
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ADDED
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ADDED
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checkpoint-5500/text_encoder/config.json
ADDED
|
@@ -0,0 +1,25 @@
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{
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| 2 |
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|
| 3 |
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|
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|
| 25 |
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|
checkpoint-5500/text_encoder/model.safetensors
ADDED
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checkpoint-5500/unet/config.json
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adam_beta1: 0.9
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adam_beta2: 0.999
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adam_epsilon: 1.0e-08
|
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adam_weight_decay: 0.01
|
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allow_tf32: false
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enable_xformers_memory_efficient_attention: false
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gradient_accumulation_steps: 1
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gradient_checkpointing: true
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hub_model_id: pv_ts_v3
|
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hub_token: null
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instance_data_dir: /data/dataset/Split_PlantVillage/train/Tomato___Target_Spot
|
| 19 |
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instance_prompt: A photo of a leaf with target-like lesions surrounded by yellow halos.
|
| 20 |
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hd, 4k
|
| 21 |
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learning_rate: 1.0e-06
|
| 22 |
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local_rank: 0
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logging_dir: logs
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lr_num_cycles: 1
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lr_power: 1.0
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lr_scheduler: cosine
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lr_warmup_steps: 500
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max_grad_norm: 1.0
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mixed_precision: null
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num_class_images: 100
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| 32 |
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num_train_epochs: 43
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| 33 |
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num_validation_images: 4
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| 34 |
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offset_noise: false
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| 35 |
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output_dir: /data/march/dreambooth/Pv/Tomato___Target_Spot_v3
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| 36 |
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logs/dreambooth/1743847277.595793/events.out.tfevents.1743847277.d41117e5b20d.1167.1
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logs/dreambooth/1743847277.5980237/hparams.yml
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logs/dreambooth/1743850927.6064548/events.out.tfevents.1743850927.d41117e5b20d.1836.1
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logs/dreambooth/1743850927.609008/hparams.yml
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logs/dreambooth/1743963277.8025703/events.out.tfevents.1743963277.d41117e5b20d.5471.1
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logs/dreambooth/1743963277.8055859/hparams.yml
ADDED
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