End of training
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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/1744833542.375866/events.out.tfevents.1744833542.d1cb2b891c9f.1003.1 +3 -0
- logs/dreambooth/1744833542.3779917/hparams.yml +62 -0
- logs/dreambooth/1744864723.2255652/events.out.tfevents.1744864723.8b5ed5235537.1070.1 +3 -0
- logs/dreambooth/1744864723.227647/hparams.yml +62 -0
- logs/dreambooth/events.out.tfevents.1744833540.d1cb2b891c9f.1003.0 +3 -0
- logs/dreambooth/events.out.tfevents.1744864721.8b5ed5235537.1070.0 +3 -0
- model_index.json +38 -0
- safety_checker/config.json +31 -0
.gitattributes
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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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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 healthy green leaf with smooth texture and no visible
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damage
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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_h_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 healthy green leaf with smooth texture and no visible damage 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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"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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"DownBlock2D"
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}
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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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checkpoint-4500/unet/config.json
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{
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|
1 |
+
{
|
2 |
+
"_class_name": "StableDiffusionPipeline",
|
3 |
+
"_diffusers_version": "0.33.0.dev0",
|
4 |
+
"_name_or_path": "stable-diffusion-v1-5/stable-diffusion-v1-5",
|
5 |
+
"feature_extractor": [
|
6 |
+
"transformers",
|
7 |
+
"CLIPImageProcessor"
|
8 |
+
],
|
9 |
+
"image_encoder": [
|
10 |
+
null,
|
11 |
+
null
|
12 |
+
],
|
13 |
+
"requires_safety_checker": true,
|
14 |
+
"safety_checker": [
|
15 |
+
"stable_diffusion",
|
16 |
+
"StableDiffusionSafetyChecker"
|
17 |
+
],
|
18 |
+
"scheduler": [
|
19 |
+
"diffusers",
|
20 |
+
"PNDMScheduler"
|
21 |
+
],
|
22 |
+
"text_encoder": [
|
23 |
+
"transformers",
|
24 |
+
"CLIPTextModel"
|
25 |
+
],
|
26 |
+
"tokenizer": [
|
27 |
+
"transformers",
|
28 |
+
"CLIPTokenizer"
|
29 |
+
],
|
30 |
+
"unet": [
|
31 |
+
"diffusers",
|
32 |
+
"UNet2DConditionModel"
|
33 |
+
],
|
34 |
+
"vae": [
|
35 |
+
"diffusers",
|
36 |
+
"AutoencoderKL"
|
37 |
+
]
|
38 |
+
}
|
safety_checker/config.json
ADDED
@@ -0,0 +1,31 @@
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|
|
|
1 |
+
{
|
2 |
+
"_name_or_path": "/root/.cache/huggingface/hub/models--stable-diffusion-v1-5--stable-diffusion-v1-5/snapshots/451f4fe16113bff5a5d2269ed5ad43b0592e9a14/safety_checker",
|
3 |
+
"architectures": [
|
4 |
+
"StableDiffusionSafetyChecker"
|
5 |
+
],
|
6 |
+
"initializer_factor": 1.0,
|
7 |
+
"logit_scale_init_value": 2.6592,
|
8 |
+
"model_type": "clip",
|
9 |
+
"projection_dim": 768,
|
10 |
+
"text_config": {
|
11 |
+
"dropout": 0.0,
|
12 |
+
"hidden_size": 768,
|
13 |
+
"intermediate_size": 3072,
|
14 |
+
"model_type": "clip_text_model",
|
15 |
+
"num_attention_heads": 12,
|
16 |
+
"torch_dtype": "float32"
|
17 |
+
},
|
18 |
+
"torch_dtype": "float32",
|
19 |
+
"transformers_version": "4.49.0",
|
20 |
+
"vision_config": {
|
21 |
+
"_attn_implementation_autoset": true,
|
22 |
+
"dropout": 0.0,
|
23 |
+
"hidden_size": 1024,
|
24 |
+
"intermediate_size": 4096,
|
25 |
+
"model_type": "clip_vision_model",
|
26 |
+
"num_attention_heads": 16,
|
27 |
+
"num_hidden_layers": 24,
|
28 |
+
"patch_size": 14,
|
29 |
+
"torch_dtype": "float32"
|
30 |
+
}
|
31 |
+
}
|