End of training

.gitattributes

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

README.md

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+---
+base_model: black-forest-labs/FLUX.1-dev
+library_name: diffusers
+license: other
+inference: true
+tags:
+- flux
+- flux-diffusers
+- text-to-image
+- diffusers
+- control
+- 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. -->
+
+
+# control-lora-sayakpaul/cartoon-control-lr_1e-4-wd_1e-4-gs_10.0-cd_0.1
+
+These are Control weights trained on black-forest-labs/FLUX.1-dev with new type of conditioning.
+You can find some example images below.
+
+prompt: Generate a cartoonized version of the image
+![images_0)](./images_0.png)
+
+
+## License
+
+Please adhere to the licensing terms as described [here](https://huggingface.co/black-forest-labs/FLUX.1-dev/blob/main/LICENSE.md)
+
+
+## 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]

config.json

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+{
+  "_class_name": "FluxTransformer2DModel",
+  "_diffusers_version": "0.33.0.dev0",
+  "_name_or_path": "black-forest-labs/FLUX.1-dev",
+  "attention_head_dim": 128,
+  "axes_dims_rope": [
+    16,
+    56,
+    56
+  ],
+  "guidance_embeds": true,
+  "in_channels": 128,
+  "joint_attention_dim": 4096,
+  "num_attention_heads": 24,
+  "num_layers": 19,
+  "num_single_layers": 38,
+  "out_channels": 64,
+  "patch_size": 1,
+  "pooled_projection_dim": 768
+}

diffusion_pytorch_model.safetensors

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