End of training

.gitattributes

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 *.zst filter=lfs diff=lfs merge=lfs -text
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+images_0.png filter=lfs diff=lfs merge=lfs -text

README.md

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+---
+base_model: ButterChicken98/dec_logs_ymv_v4_balanced
+library_name: diffusers
+license: creativeml-openrail-m
+inference: true
+tags:
+- stable-diffusion
+- stable-diffusion-diffusers
+- text-to-image
+- diffusers
+- controlnet
+- diffusers-training
+---
+
+<!-- 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. -->
+
+
+# controlnet-ButterChicken98/ymv_controlnet_seg_v1
+
+These are controlnet weights trained on ButterChicken98/dec_logs_ymv_v4_balanced with new type of conditioning.
+You can find some example images below.
+
+prompt: A soybean leaf with faint yellow mosaic patterns and minor curling, indicating early signs of Yellow Mosaic Virus.
+![images_0)](./images_0.png)
+
+
+
+## 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]

checkpoint-1000/controlnet/config.json

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+  "_diffusers_version": "0.37.0.dev0",
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+    "CrossAttnDownBlock2D",
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+  "use_linear_projection": false
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checkpoint-1500/controlnet/config.json

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+    "CrossAttnDownBlock2D",
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+  "use_linear_projection": false
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checkpoint-2000/controlnet/config.json

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config.json

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