End of training

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README.md

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+
 ---
-base_model: stabilityai/stable-diffusion-3-medium-diffusers
-library_name: diffusers
-license: other
-instance_prompt: a photo of sks person
-widget:
-- text: A photo of sks person
-  output:
-    url: image_0.png
-- text: A photo of sks person
-  output:
-    url: image_1.png
-- text: A photo of sks person
-  output:
-    url: image_2.png
-- text: A photo of sks person
-  output:
-    url: image_3.png
-- text: A photo of sks person
-  output:
-    url: image_4.png
-- text: A photo of sks person
-  output:
-    url: image_5.png
-- text: A photo of sks person
-  output:
-    url: image_6.png
-- text: A photo of sks person
-  output:
-    url: image_7.png
-- text: A photo of sks person
-  output:
-    url: image_8.png
-- text: A photo of sks person
-  output:
-    url: image_9.png
-- text: A photo of sks person
-  output:
-    url: image_10.png
-- text: A photo of sks person
-  output:
-    url: image_11.png
-- text: A photo of sks person
-  output:
-    url: image_12.png
-- text: A photo of sks person
-  output:
-    url: image_13.png
-- text: A photo of sks person
-  output:
-    url: image_14.png
-- text: A photo of sks person
-  output:
-    url: image_15.png
-- text: A photo of sks person
-  output:
-    url: image_16.png
-- text: A photo of sks person
-  output:
-    url: image_17.png
-- text: A photo of sks person
-  output:
-    url: image_18.png
-- text: A photo of sks person
-  output:
-    url: image_19.png
+license: creativeml-openrail-m
+base_model: runwayml/stable-diffusion-v1-5
+instance_prompt: photo of a sks cat
 tags:
+- stable-diffusion
+- stable-diffusion-diffusers
 - text-to-image
-- diffusers-training
 - diffusers
-- lora
-- template:sd-lora
-- sd3
-- sd3-diffusers
+- custom-diffusion
+inference: true
 ---
+    
+# Custom Diffusion - SidXXD/Clean
 
-<!-- This model card has been generated automatically according to the information the training script had access to. You
-should probably proofread and complete it, then remove this comment. -->
-
-
-# SD3 DreamBooth LoRA - SidXXD/Clean
-
-<Gallery />
-
-## Model description
-
-These are SidXXD/Clean DreamBooth LoRA weights for stabilityai/stable-diffusion-3-medium-diffusers.
-
-The weights were trained using [DreamBooth](https://dreambooth.github.io/) with the [SD3 diffusers trainer](https://github.com/huggingface/diffusers/blob/main/examples/dreambooth/README_sd3.md).
-
-Was LoRA for the text encoder enabled? False.
-
-## Trigger words
-
-You should use `a photo of sks person` to trigger the image generation.
-
-## Download model
-
-[Download the *.safetensors LoRA](SidXXD/Clean/tree/main) in the Files & versions tab.
-
-## Use it with the [🧨 diffusers library](https://github.com/huggingface/diffusers)
-
-```py
-from diffusers import AutoPipelineForText2Image
-import torch
-pipeline = AutoPipelineForText2Image.from_pretrained(stabilityai/stable-diffusion-3-medium-diffusers, torch_dtype=torch.float16).to('cuda')
-pipeline.load_lora_weights('SidXXD/Clean', weight_name='pytorch_lora_weights.safetensors')
-image = pipeline('A photo of sks person').images[0]
-```
-
-### Use it with UIs such as AUTOMATIC1111, Comfy UI, SD.Next, Invoke
-
-- **LoRA**: download **[`diffusers_lora_weights.safetensors` here 💾](/SidXXD/Clean/blob/main/diffusers_lora_weights.safetensors)**.
-    - Rename it and place it on your `models/Lora` folder.
-    - On AUTOMATIC1111, load the LoRA by adding `<lora:your_new_name:1>` to your prompt. On ComfyUI just [load it as a regular LoRA](https://comfyanonymous.github.io/ComfyUI_examples/lora/).
-
-For more details, including weighting, merging and fusing LoRAs, check the [documentation on loading LoRAs in diffusers](https://huggingface.co/docs/diffusers/main/en/using-diffusers/loading_adapters)
-
-## License
-
-Please adhere to the licensing terms as described [here](https://huggingface.co/stabilityai/stable-diffusion-3-medium/blob/main/LICENSE.md).
-
-
-## Intended uses & limitations
-
-#### How to use
-
-```python
-# TODO: add an example code snippet for running this diffusion pipeline
-```
+These are Custom Diffusion adaption weights for runwayml/stable-diffusion-v1-5. The weights were trained on photo of a sks cat using [Custom Diffusion](https://www.cs.cmu.edu/~custom-diffusion). You can find some example images in the following. 
 
-#### Limitations and bias
 
-[TODO: provide examples of latent issues and potential remediations]
 
-## Training details
 
-[TODO: describe the data used to train the model]
+For more details on the training, please follow [this link](https://github.com/huggingface/diffusers/blob/main/examples/custom_diffusion).

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+adam_beta2: 0.999
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+adam_weight_decay: 0.01
+allow_tf32: false
+attn_maps_path_name: attn_maps_color
+center_crop: false
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+class_prompt: null
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+instance_data_dir: /home/xide/miniconda3/code/data/dreambooth/dataset/cat2
+instance_prompt: photo of a sks cat
+learning_rate: 1.0e-05
+local_rank: -1
+logging_dir: logs
+lr_scheduler: constant
+lr_warmup_steps: 0
+max_grad_norm: 1.0
+max_train_steps: 250
+mixed_precision: null
+modifier_token: sks
+no_safe_serialization: true
+noaug: false
+num_class_images: 200
+num_train_epochs: 1
+num_validation_images: 2
+output_dir: /home/xide/miniconda3/code/diffusers_old/examples/custom_diffusion/model/No_PGD/Clean
+pretrained_model_name_or_path: runwayml/stable-diffusion-v1-5
+prior_generation_precision: null
+prior_loss_weight: 0
+push_to_hub: true
+real_prior: false
+report_to: tensorboard
+resolution: 512
+resume_from_checkpoint: null
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+scale_lr: true
+seed: 42
+set_grads_to_none: false
+tokenizer_name: null
+train_batch_size: 2
+use_8bit_adam: false
+validation_prompt: null
+validation_steps: 50
+variant: null
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