End of training
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- README.md +68 -0
- checkpoint-10000/optimizer.bin +3 -0
- checkpoint-10000/random_states_0.pkl +3 -0
- checkpoint-10000/scaler.pt +3 -0
- checkpoint-10000/scheduler.bin +3 -0
- checkpoint-10000/unet/config.json +68 -0
- checkpoint-10000/unet/diffusion_pytorch_model.safetensors +3 -0
- checkpoint-10000/unet_ema/config.json +75 -0
- checkpoint-10000/unet_ema/diffusion_pytorch_model.safetensors +3 -0
- checkpoint-15000/optimizer.bin +3 -0
- checkpoint-15000/random_states_0.pkl +3 -0
- checkpoint-15000/scaler.pt +3 -0
- checkpoint-15000/scheduler.bin +3 -0
- checkpoint-15000/unet/config.json +68 -0
- checkpoint-15000/unet/diffusion_pytorch_model.safetensors +3 -0
- checkpoint-15000/unet_ema/config.json +75 -0
- checkpoint-15000/unet_ema/diffusion_pytorch_model.safetensors +3 -0
- checkpoint-20000/optimizer.bin +3 -0
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- checkpoint-20000/scheduler.bin +3 -0
- checkpoint-20000/unet/config.json +68 -0
- checkpoint-20000/unet/diffusion_pytorch_model.safetensors +3 -0
- checkpoint-20000/unet_ema/config.json +75 -0
- checkpoint-20000/unet_ema/diffusion_pytorch_model.safetensors +3 -0
- checkpoint-25000/optimizer.bin +3 -0
- checkpoint-25000/random_states_0.pkl +3 -0
- checkpoint-25000/scaler.pt +3 -0
- checkpoint-25000/scheduler.bin +3 -0
- checkpoint-25000/unet/config.json +68 -0
- checkpoint-25000/unet/diffusion_pytorch_model.safetensors +3 -0
- checkpoint-25000/unet_ema/config.json +75 -0
- checkpoint-25000/unet_ema/diffusion_pytorch_model.safetensors +3 -0
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- checkpoint-30000/random_states_0.pkl +3 -0
- checkpoint-30000/scaler.pt +3 -0
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- checkpoint-30000/unet/diffusion_pytorch_model.safetensors +3 -0
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- checkpoint-5000/unet/diffusion_pytorch_model.safetensors +3 -0
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- feature_extractor/preprocessor_config.json +27 -0
README.md
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---
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base_model: CompVis/stable-diffusion-v1-4
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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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tags:
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- stable-diffusion
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- stable-diffusion-diffusers
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- text-to-image
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- diffusers
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- diffusers-training
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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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# Text-to-image finetuning - Ksgk-fy/kanji_finetune_expand
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This pipeline was finetuned from **CompVis/stable-diffusion-v1-4** on the **Ksgk-fy/expanded-kanji-dataset** dataset. Below are some example images generated with the finetuned pipeline using the following prompts: ['alien', 'evolution', 'shark']:
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## Pipeline usage
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You can use the pipeline like so:
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```python
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from diffusers import DiffusionPipeline
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import torch
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pipeline = DiffusionPipeline.from_pretrained("Ksgk-fy/kanji_finetune_expand", torch_dtype=torch.float16)
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prompt = "alien"
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image = pipeline(prompt).images[0]
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image.save("my_image.png")
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```
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## Training info
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These are the key hyperparameters used during training:
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* Epochs: 7
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* Learning rate: 5e-06
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* Batch size: 1
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* Gradient accumulation steps: 4
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* Image resolution: 512
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* Mixed-precision: fp16
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More information on all the CLI arguments and the environment are available on your [`wandb` run page](https://wandb.ai/ksgk-hack/text2image-fine-tune/runs/k7cxsn30).
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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-10000/optimizer.bin
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size 1000
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checkpoint-15000/unet/config.json
ADDED
@@ -0,0 +1,68 @@
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|
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|
checkpoint-15000/unet/diffusion_pytorch_model.safetensors
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size 3438167536
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checkpoint-15000/unet_ema/config.json
ADDED
@@ -0,0 +1,75 @@
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checkpoint-15000/unet_ema/diffusion_pytorch_model.safetensors
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checkpoint-20000/optimizer.bin
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checkpoint-20000/random_states_0.pkl
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checkpoint-20000/unet/config.json
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checkpoint-20000/unet/diffusion_pytorch_model.safetensors
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checkpoint-20000/unet_ema/config.json
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checkpoint-30000/unet_ema/config.json
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24 |
+
"size": {
|
25 |
+
"shortest_edge": 224
|
26 |
+
}
|
27 |
+
}
|