End of training
Browse filesThis view is limited to 50 files because it contains too many changes.
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- README.md +47 -0
- checkpoint-1000/optimizer.bin +3 -0
- checkpoint-1000/random_states_0.pkl +3 -0
- checkpoint-1000/scheduler.bin +3 -0
- checkpoint-1000/text_encoder/config.json +25 -0
- checkpoint-1000/text_encoder/model.safetensors +3 -0
- checkpoint-1000/unet/config.json +68 -0
- checkpoint-1000/unet/diffusion_pytorch_model.safetensors +3 -0
- checkpoint-1500/optimizer.bin +3 -0
- checkpoint-1500/random_states_0.pkl +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-2000/optimizer.bin +3 -0
- checkpoint-2000/random_states_0.pkl +3 -0
- checkpoint-2000/scheduler.bin +3 -0
- checkpoint-2000/text_encoder/config.json +25 -0
- checkpoint-2000/text_encoder/model.safetensors +3 -0
- checkpoint-2000/unet/config.json +68 -0
- checkpoint-2000/unet/diffusion_pytorch_model.safetensors +3 -0
- checkpoint-2500/optimizer.bin +3 -0
- checkpoint-2500/random_states_0.pkl +3 -0
- checkpoint-2500/scheduler.bin +3 -0
- checkpoint-2500/text_encoder/config.json +25 -0
- checkpoint-2500/text_encoder/model.safetensors +3 -0
- checkpoint-2500/unet/config.json +68 -0
- checkpoint-2500/unet/diffusion_pytorch_model.safetensors +3 -0
- checkpoint-500/optimizer.bin +3 -0
- checkpoint-500/random_states_0.pkl +3 -0
- checkpoint-500/scheduler.bin +3 -0
- checkpoint-500/text_encoder/config.json +25 -0
- checkpoint-500/text_encoder/model.safetensors +3 -0
- checkpoint-500/unet/config.json +68 -0
- checkpoint-500/unet/diffusion_pytorch_model.safetensors +3 -0
- feature_extractor/preprocessor_config.json +27 -0
- image_0.png +0 -0
- image_1.png +0 -0
- image_2.png +0 -0
- image_3.png +0 -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: 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: photo of ohwx man
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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 - timlenardo/timl_images_stable-diffusion-v1-5_dreambooth_2500_steps_validation_ohwx
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This is a dreambooth model derived from stable-diffusion-v1-5/stable-diffusion-v1-5. The weights were trained on photo of ohwx man 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-1000/optimizer.bin
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checkpoint-1000/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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"dropout": 0.0,
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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": "4.45.2",
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"vocab_size": 49408
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}
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checkpoint-1000/unet/config.json
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{
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"_class_name": "UNet2DConditionModel",
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"_name_or_path": "stable-diffusion-v1-5/stable-diffusion-v1-5",
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"block_out_channels": [
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"conv_in_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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"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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"resnet_time_scale_shift": "default",
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"up_block_types": [
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"UpBlock2D",
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"CrossAttnUpBlock2D",
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}
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checkpoint-1000/unet/diffusion_pytorch_model.safetensors
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checkpoint-1500/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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checkpoint-1500/unet/config.json
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{
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"CrossAttnDownBlock2D",
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"DownBlock2D"
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checkpoint-500/text_encoder/model.safetensors
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checkpoint-500/unet/config.json
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checkpoint-500/unet/diffusion_pytorch_model.safetensors
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version https://git-lfs.github.com/spec/v1
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feature_extractor/preprocessor_config.json
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image_0.png
ADDED
![]() |
image_1.png
ADDED
![]() |
image_2.png
ADDED
![]() |
image_3.png
ADDED
![]() |
model_index.json
ADDED
@@ -0,0 +1,38 @@
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|
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safety_checker/config.json
ADDED
@@ -0,0 +1,28 @@
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safety_checker/model.safetensors
ADDED
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scheduler/scheduler_config.json
ADDED
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text_encoder/config.json
ADDED
@@ -0,0 +1,25 @@
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text_encoder/model.safetensors
ADDED
@@ -0,0 +1,3 @@
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tokenizer/merges.txt
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The diff for this file is too large to render.
See raw diff
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tokenizer/special_tokens_map.json
ADDED
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|
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|
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|
tokenizer/tokenizer_config.json
ADDED
@@ -0,0 +1,30 @@
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