End of training

README.md

@@ -10,11 +10,11 @@ tags:
 - template:sd-lora
 
 base_model: stabilityai/stable-diffusion-2-1
-instance_prompt: black and white mel-spectrograms of breakbeats
+instance_prompt: mel-spectrograms amen breakbeats
 license: openrail++
 ---
     
 # AutoTrain LoRA DreamBooth - Danhearn/spectrogram
 
-These are LoRA adaption weights for stabilityai/stable-diffusion-2-1. The weights were trained on black and white mel-spectrograms of breakbeats using [DreamBooth](https://dreambooth.github.io/).
+These are LoRA adaption weights for stabilityai/stable-diffusion-2-1. The weights were trained on mel-spectrograms amen breakbeats using [DreamBooth](https://dreambooth.github.io/).
 LoRA for the text encoder was enabled: True.

prompt.txt

@@ -1 +1 @@
-black and white mel-spectrograms of breakbeats
+mel-spectrograms amen breakbeats

pytorch_lora_weights.safetensors

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 size 6400736

pytorch_lora_weights_kohya.safetensors

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training_params.json

@@ -1 +1 @@
-{"model": "stabilityai/stable-diffusion-2-1", "vae_model": null, "revision": null, "tokenizer": null, "image_path": "spectrogram/autotrain-data", "class_image_path": null, "prompt": "black and white mel-spectrograms of breakbeats", "class_prompt": null, "num_class_images": 100, "class_labels_conditioning": null, "prior_preservation": false, "prior_loss_weight": 1.0, "project_name": "spectrogram", "seed": 42, "resolution": 256, "center_crop": false, "train_text_encoder": true, "batch_size": 1, "sample_batch_size": 4, "epochs": 1, "num_steps": 1000, "checkpointing_steps": 100000, "resume_from_checkpoint": null, "gradient_accumulation": 4, "disable_gradient_checkpointing": false, "lr": 0.0001, "scale_lr": false, "scheduler": "constant", "warmup_steps": 0, "num_cycles": 1, "lr_power": 1.0, "dataloader_num_workers": 0, "use_8bit_adam": false, "adam_beta1": 0.9, "adam_beta2": 0.999, "adam_weight_decay": 0.01, "adam_epsilon": 1e-08, "max_grad_norm": 1.0, "allow_tf32": false, "prior_generation_precision": null, "local_rank": -1, "xformers": false, "pre_compute_text_embeddings": false, "tokenizer_max_length": null, "text_encoder_use_attention_mask": false, "rank": 4, "xl": false, "mixed_precision": "fp16", "push_to_hub": true, "username": "Danhearn", "validation_prompt": null, "num_validation_images": 4, "validation_epochs": 50, "checkpoints_total_limit": null, "validation_images": null, "logging": false}
+{"model": "stabilityai/stable-diffusion-2-1", "vae_model": null, "revision": null, "tokenizer": null, "image_path": "spectrogram/autotrain-data", "class_image_path": null, "prompt": "mel-spectrograms amen breakbeats", "class_prompt": null, "num_class_images": 100, "class_labels_conditioning": null, "prior_preservation": false, "prior_loss_weight": 1.0, "project_name": "spectrogram", "seed": 42, "resolution": 256, "center_crop": false, "train_text_encoder": true, "batch_size": 4, "sample_batch_size": 4, "epochs": 1, "num_steps": 5000, "checkpointing_steps": 100000, "resume_from_checkpoint": null, "gradient_accumulation": 4, "disable_gradient_checkpointing": false, "lr": 0.0001, "scale_lr": false, "scheduler": "constant", "warmup_steps": 0, "num_cycles": 1, "lr_power": 1.0, "dataloader_num_workers": 0, "use_8bit_adam": false, "adam_beta1": 0.9, "adam_beta2": 0.999, "adam_weight_decay": 0.01, "adam_epsilon": 1e-08, "max_grad_norm": 1.0, "allow_tf32": false, "prior_generation_precision": null, "local_rank": -1, "xformers": false, "pre_compute_text_embeddings": false, "tokenizer_max_length": null, "text_encoder_use_attention_mask": false, "rank": 4, "xl": false, "mixed_precision": "fp16", "push_to_hub": true, "username": "Danhearn", "validation_prompt": null, "num_validation_images": 4, "validation_epochs": 50, "checkpoints_total_limit": null, "validation_images": null, "logging": false}