End of training

README.md

@@ -15,4 +15,6 @@ inference: true
 
 These are controlnet weights trained on runwayml/stable-diffusion-v1-5 with new type of conditioning.
 You can find some example images below.
+prompt: Interior design
+![images_0)](./images_0.png)
 

config.json

@@ -1,6 +1,6 @@
 {
   "_class_name": "ControlNetModel",
-  "_diffusers_version": "0.19.0.dev0",
+  "_diffusers_version": "0.18.2",
   "act_fn": "silu",
   "attention_head_dim": 8,
   "block_out_channels": [

diffusion_pytorch_model.bin

@@ -1,3 +1,3 @@
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logs/train_controlnet/1690326967.4751875/events.out.tfevents.1690326967.95598bdb7e9d.3480.1

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logs/train_controlnet/1690326967.4769804/hparams.yml

@@ -0,0 +1,49 @@
+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
+dataloader_num_workers: 0
+dataset_config_name: null
+dataset_name: Bellaaazzzzz/wireframe
+enable_xformers_memory_efficient_attention: false
+gradient_accumulation_steps: 1
+gradient_checkpointing: false
+hub_model_id: null
+hub_token: null
+image_column: image
+learning_rate: 1.0e-05
+logging_dir: logs
+lr_num_cycles: 1
+lr_power: 1.0
+lr_scheduler: constant
+lr_warmup_steps: 500
+max_grad_norm: 1.0
+max_train_samples: 10
+max_train_steps: 10
+mixed_precision: null
+num_train_epochs: 1
+num_validation_images: 1
+output_dir: model_wireframe
+pretrained_model_name_or_path: runwayml/stable-diffusion-v1-5
+proportion_empty_prompts: 0
+push_to_hub: true
+report_to: tensorboard
+resolution: 512
+resume_from_checkpoint: null
+revision: null
+scale_lr: false
+seed: null
+set_grads_to_none: false
+tokenizer_name: null
+tracker_project_name: train_controlnet
+train_batch_size: 1
+train_data_dir: null
+use_8bit_adam: false
+validation_steps: 3

logs/train_controlnet/events.out.tfevents.1690326967.95598bdb7e9d.3480.0

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