End of training

README.md

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+---
+base_model: runwayml/stable-diffusion-v1-5
+library_name: diffusers
+license: creativeml-openrail-m
+tags:
+- text-to-image
+- dreambooth
+- diffusers-training
+- stable-diffusion
+- stable-diffusion-diffusers
+inference: true
+instance_prompt: a photo of sks camouflaged soldier
+---
+
+<!-- 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 - yoon6173/result3
+
+This is a dreambooth model derived from runwayml/stable-diffusion-v1-5. The weights were trained on a photo of sks camouflaged soldier using [DreamBooth](https://dreambooth.github.io/).
+You can find some example images in the following. 
+
+
+
+DreamBooth for the text encoder was enabled: False.
+
+
+## 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]

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+  "_diffusers_version": "0.29.2",
+  "_name_or_path": "runwayml/stable-diffusion-v1-5",
+  "act_fn": "silu",
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+  "down_block_types": [
+    "CrossAttnDownBlock2D",
+    "CrossAttnDownBlock2D",
+    "CrossAttnDownBlock2D",
+    "DownBlock2D"
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+  "resnet_time_scale_shift": "default",
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+    "CrossAttnUpBlock2D",
+    "CrossAttnUpBlock2D"
+  ],
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+  "use_linear_projection": false
+}

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+  "_class_name": "UNet2DConditionModel",
+  "_diffusers_version": "0.29.2",
+  "_name_or_path": "runwayml/stable-diffusion-v1-5",
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model_index.json

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+  "_diffusers_version": "0.29.2",
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