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End of training

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.gitattributes CHANGED
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  *.zip filter=lfs diff=lfs merge=lfs -text
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README.md ADDED
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+ ---
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+ base_model: black-forest-labs/FLUX.1-dev
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+ library_name: diffusers
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+ license: other
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+ inference: true
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+ tags:
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+ - flux
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+ - flux-diffusers
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+ - text-to-image
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+ - diffusers
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+ - controlnet
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+ - diffusers-training
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+ ---
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+
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+ <!-- This model card has been generated automatically according to the information the training script had access to. You
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+ should probably proofread and complete it, then remove this comment. -->
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+
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+
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+ # controlnet-tommycik/ControlNetCannyNew
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+
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+ These are controlnet weights trained on black-forest-labs/FLUX.1-dev with new type of conditioning.
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+ You can find some example images below.
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+
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+ prompt: transparent cocktail galss with elegant stem and a double curved bowl on a white background
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+ ![images_0)](./images_0.png)
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+
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+
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+ ## License
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+
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+ Please adhere to the licensing terms as described [here](https://huggingface.co/black-forest-labs/FLUX.1-dev/blob/main/LICENSE.md)
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+
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+
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+ ## Intended uses & limitations
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+
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+ #### How to use
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+
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+ ```python
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+ # TODO: add an example code snippet for running this diffusion pipeline
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+ ```
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+
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+ #### Limitations and bias
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+
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+ [TODO: provide examples of latent issues and potential remediations]
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+
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+ ## Training details
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+
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+ [TODO: describe the data used to train the model]
config.json ADDED
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+ {
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+ "_class_name": "FluxControlNetModel",
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+ "_diffusers_version": "0.36.0.dev0",
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+ "_name_or_path": "InstantX/FLUX.1-dev-Controlnet-Canny",
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+ ],
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+ "guidance_embeds": true,
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+ "in_channels": 64,
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+ "joint_attention_dim": 4096,
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+ "num_attention_heads": 24,
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+ "num_layers": 5,
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+ "num_mode": null,
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+ "num_single_layers": 0,
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+ "patch_size": 1,
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+ "pooled_projection_dim": 768
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+ }
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