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clothes_example_v2

Text-to-Image
Diffusers
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stable-diffusion
stable-diffusion-diffusers
diffusers-training
lora
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  1. .gitattributes +3 -0
  2. README.md +59 -0
  3. checkpoint-1000/model.safetensors +3 -0
  4. checkpoint-1000/optimizer.bin +3 -0
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.gitattributes CHANGED
@@ -33,3 +33,6 @@ 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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  *tfevents* 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_15.png filter=lfs diff=lfs merge=lfs -text
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+ image_18.png filter=lfs diff=lfs merge=lfs -text
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+ image_19.png filter=lfs diff=lfs merge=lfs -text
README.md ADDED
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+ ---
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+ base_model: stabilityai/stable-diffusion-2-1
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+ library_name: diffusers
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+ license: creativeml-openrail-m
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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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+ - lora
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+ inference: true
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+ ---
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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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+
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+
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+ # LoRA text2image fine-tuning - Ginyyds/clothes_example_v2
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+ These are LoRA adaption weights for stabilityai/stable-diffusion-2-1. The weights were fine-tuned on the ziang123/pattern_dataset dataset. You can find some example images in the following.
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+
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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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+ ![img_4](./image_4.png)
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+ ![img_5](./image_5.png)
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+ ![img_6](./image_6.png)
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+ ![img_7](./image_7.png)
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+ ![img_8](./image_8.png)
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+ ![img_9](./image_9.png)
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+ ![img_10](./image_10.png)
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+ ![img_11](./image_11.png)
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+ ![img_12](./image_12.png)
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+ ![img_13](./image_13.png)
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+ ![img_14](./image_14.png)
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+ ![img_15](./image_15.png)
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+ ![img_16](./image_16.png)
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+ ![img_17](./image_17.png)
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+ ![img_18](./image_18.png)
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+ ![img_19](./image_19.png)
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+
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+
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+
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+ ## Intended uses & limitations
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+
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+ #### How to use
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+
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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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+
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+ #### Limitations and bias
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+
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+ [TODO: provide examples of latent issues and potential remediations]
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+
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+ ## Training details
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+
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+ [TODO: describe the data used to train the model]
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+ {
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+ "_class_name": "StableDiffusionPipeline",
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+ "_diffusers_version": "0.8.0",
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+ "feature_extractor": [
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+ "transformers",
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+ "tokenizer": [
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+ "transformers",
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+ "CLIPTokenizer"
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+ "diffusers",
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+ "UNet2DConditionModel"
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+ ],
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+ "vae": [
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+ "diffusers",
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+ "AutoencoderKL"
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+ ]
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+ }
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