training after 9000 steps

README.md

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+---
+license: creativeml-openrail-m
+library_name: diffusers
+tags:
+- text-to-image
+- dreambooth
+- diffusers-training
+- stable-diffusion
+- stable-diffusion-diffusers
+base_model: stabilityai/stable-diffusion-2-1-base
+inference: true
+instance_prompt: disney
+---
+
+<!-- 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. -->
+
+
+# DreamBooth - lavaman131/cartoonify
+
+This is a dreambooth model derived from stabilityai/stable-diffusion-2-1-base. The weights were trained on disney using [DreamBooth](https://dreambooth.github.io/).
+You can find some example images in the following. 
+
+
+
+DreamBooth for the text encoder was enabled: True.
+
+
+## Intended uses & limitations
+
+#### How to use
+
+```python
+# TODO: add an example code snippet for running this diffusion pipeline
+```
+
+#### Limitations and bias
+
+[TODO: provide examples of latent issues and potential remediations]
+
+## Training details
+
+[TODO: describe the data used to train the model]

optimizer.bin

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pytorch_lora_weights.safetensors

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random_states_0.pkl

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scaler.pt

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scheduler.bin

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