End of training

README.md

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+---
+base_model: black-forest-labs/FLUX.1-dev
+library_name: diffusers
+license: other
+tags:
+- flux
+- flux-diffusers
+- text-to-image
+- diffusers
+- controlnet
+- diffusers-training
+inference: true
+---
+
+<!-- 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-lucataco/flux-dev-controlnet-fill1k
+
+These are controlnet weights trained on black-forest-labs/FLUX.1-dev with new type of conditioning.
+
+
+## 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": "FluxControlNetModel",
+  "_diffusers_version": "0.31.0.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": 64,
+  "joint_attention_dim": 4096,
+  "num_attention_heads": 24,
+  "num_layers": 4,
+  "num_mode": null,
+  "num_single_layers": 0,
+  "patch_size": 1,
+  "pooled_projection_dim": 768
+}

diffusion_pytorch_model.safetensors

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logs/flux_train_controlnet/1727850463.6695485/hparams.yml

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+adam_beta1: 0.9
+adam_beta2: 0.999
+adam_epsilon: 1.0e-08
+adam_weight_decay: 0.01
+allow_tf32: false
+cache_dir: null
+caption_column: text
+checkpointing_steps: 500
+checkpoints_total_limit: null
+conditioning_image_column: conditioning_image
+controlnet_model_name_or_path: null
+crops_coords_top_left_h: 0
+crops_coords_top_left_w: 0
+dataloader_num_workers: 0
+dataset_config_name: null
+dataset_name: lucataco/fill1k
+enable_model_cpu_offload: false
+enable_npu_flash_attention: false
+enable_xformers_memory_efficient_attention: false
+gradient_accumulation_steps: 4
+gradient_checkpointing: false
+guidance_scale: 3.5
+hub_model_id: null
+hub_token: null
+image_column: image
+jsonl_for_train: null
+learning_rate: 1.0e-05
+logging_dir: logs
+logit_mean: 0.0
+logit_std: 1.0
+lr_num_cycles: 1
+lr_power: 1.0
+lr_scheduler: constant
+lr_warmup_steps: 500
+max_grad_norm: 1.0
+max_train_samples: null
+max_train_steps: 300
+mixed_precision: bf16
+mode_scale: 1.29
+num_double_layers: 4
+num_single_layers: 0
+num_train_epochs: 2
+num_validation_images: 2
+output_dir: ./flux-dev-controlnet-fill1k
+pretrained_model_name_or_path: black-forest-labs/FLUX.1-dev
+pretrained_vae_model_name_or_path: null
+proportion_empty_prompts: 0
+push_to_hub: true
+report_to: tensorboard
+resolution: 512
+resume_from_checkpoint: null
+revision: null
+save_weight_dtype: fp32
+scale_lr: false
+seed: 42
+set_grads_to_none: false
+tokenizer_name: null
+tracker_project_name: flux_train_controlnet
+train_batch_size: 1
+use_8bit_adam: false
+use_adafactor: false
+validation_steps: 100
+variant: null
+weighting_scheme: logit_normal

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