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 +48 -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/1744625886.4948595/events.out.tfevents.1744625886.4e85b15e1781.5050.1 +3 -0
- logs/dreambooth/1744625886.4970746/hparams.yml +62 -0
- logs/dreambooth/events.out.tfevents.1744625884.4e85b15e1781.5050.0 +3 -0
- model_index.json +38 -0
- safety_checker/config.json +31 -0
- safety_checker/model.safetensors +3 -0
- scheduler/scheduler_config.json +15 -0
- text_encoder/config.json +25 -0
.gitattributes
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@@ -33,3 +33,7 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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*.zip filter=lfs diff=lfs merge=lfs -text
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*.zst filter=lfs diff=lfs merge=lfs -text
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*.zip filter=lfs diff=lfs merge=lfs -text
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*.zst filter=lfs diff=lfs merge=lfs -text
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*tfevents* 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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image_1.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 sks leaf with varying degree of yelloish color in leaves
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and slight curling
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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_tmv_v4
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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 sks leaf with varying degree of yelloish color in leaves and slight curling 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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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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"torch_dtype": "float32",
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"transformers_version": "4.49.0",
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"vocab_size": 49408
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}
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checkpoint-4000/unet/config.json
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{
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"_class_name": "UNet2DConditionModel",
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"_diffusers_version": "0.33.0.dev0",
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"_name_or_path": "stable-diffusion-v1-5/stable-diffusion-v1-5",
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"CrossAttnDownBlock2D",
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"CrossAttnDownBlock2D",
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"DownBlock2D"
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checkpoint-4000/unet/diffusion_pytorch_model.safetensors
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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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"architectures": [
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checkpoint-4500/unet/config.json
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{
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validation_scheduler: DPMSolverMultistepScheduler
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4 |
+
"beta_end": 0.012,
|
5 |
+
"beta_schedule": "scaled_linear",
|
6 |
+
"beta_start": 0.00085,
|
7 |
+
"clip_sample": false,
|
8 |
+
"num_train_timesteps": 1000,
|
9 |
+
"prediction_type": "epsilon",
|
10 |
+
"set_alpha_to_one": false,
|
11 |
+
"skip_prk_steps": true,
|
12 |
+
"steps_offset": 1,
|
13 |
+
"timestep_spacing": "leading",
|
14 |
+
"trained_betas": null
|
15 |
+
}
|
text_encoder/config.json
ADDED
@@ -0,0 +1,25 @@
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|
|
1 |
+
{
|
2 |
+
"_name_or_path": "stable-diffusion-v1-5/stable-diffusion-v1-5",
|
3 |
+
"architectures": [
|
4 |
+
"CLIPTextModel"
|
5 |
+
],
|
6 |
+
"attention_dropout": 0.0,
|
7 |
+
"bos_token_id": 0,
|
8 |
+
"dropout": 0.0,
|
9 |
+
"eos_token_id": 2,
|
10 |
+
"hidden_act": "quick_gelu",
|
11 |
+
"hidden_size": 768,
|
12 |
+
"initializer_factor": 1.0,
|
13 |
+
"initializer_range": 0.02,
|
14 |
+
"intermediate_size": 3072,
|
15 |
+
"layer_norm_eps": 1e-05,
|
16 |
+
"max_position_embeddings": 77,
|
17 |
+
"model_type": "clip_text_model",
|
18 |
+
"num_attention_heads": 12,
|
19 |
+
"num_hidden_layers": 12,
|
20 |
+
"pad_token_id": 1,
|
21 |
+
"projection_dim": 768,
|
22 |
+
"torch_dtype": "float32",
|
23 |
+
"transformers_version": "4.49.0",
|
24 |
+
"vocab_size": 49408
|
25 |
+
}
|