End of training

README.md

@@ -9,7 +9,7 @@ tags:
 - template:sd-lora
 
 base_model: stabilityai/stable-diffusion-xl-base-1.0
-instance_prompt: photo of Messi men
+instance_prompt: photo of De bruyne men
 license: openrail++
 ---
 # ModelsLab LoRA DreamBooth Training - stablediffusionapi/my-stablediffusion-lora-4674
@@ -42,7 +42,7 @@ image
 ```
 
 ## Trigger words
-You should use photo of Messi men to trigger the image generation.
+You should use photo of De bruyne men to trigger the image generation.
 
 ## Download model
 Weights for this model are available in Safetensors format.

prompt.txt

@@ -1 +1 @@
-photo of Messi men
+photo of De bruyne men

pytorch_lora_weights.safetensors

@@ -1,3 +1,3 @@
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-oid sha256:e6a90cf07782ec071098dcb6a211b01202a86801eb26925242c6f6d5d5deb2e5
+oid sha256:36e847bf7f8adf22d204b4e249fc1ce22e123bcc03a4ce04c8142cf85147567d
 size 93065304

pytorch_lora_weights_kohya.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:2cb34fc780c647db767551fef234e0e4bc5e17c4f0ad62a092bd033f61d03565
+oid sha256:9b0220169c61fa058e527726782f273aaa4dc99bbe0959bb5a991ee0a5389bac
 size 93148104

training_params.json

@@ -1 +1 @@
-{"model": "stabilityai/stable-diffusion-xl-base-1.0", "vae_model": null, "revision": null, "tokenizer": null, "image_path": "my-stablediffusion-lora-4674/autotrain-data", "class_image_path": null, "prompt": "photo of Messi men", "class_prompt": null, "num_class_images": 100, "class_labels_conditioning": null, "prior_preservation": false, "prior_loss_weight": 1.0, "project_name": "my-stablediffusion-lora-4674", "seed": 42, "resolution": 1024, "center_crop": false, "train_text_encoder": false, "batch_size": 4, "sample_batch_size": 4, "epochs": 1, "num_steps": 10, "checkpointing_steps": 500, "resume_from_checkpoint": null, "gradient_accumulation": 4, "disable_gradient_checkpointing": false, "lr": 0.0005, "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": 16, "xl": true, "mixed_precision": "fp16", "push_to_hub": true, "username": "stablediffusionapi", "hf_private": false, "validation_prompt": null, "num_validation_images": 4, "validation_epochs": 50, "checkpoints_total_limit": null, "validation_images": null, "logging": false}
+{"model": "stabilityai/stable-diffusion-xl-base-1.0", "vae_model": null, "revision": null, "tokenizer": null, "image_path": "my-stablediffusion-lora-4674/autotrain-data", "class_image_path": null, "prompt": "photo of De bruyne men", "class_prompt": null, "num_class_images": 100, "class_labels_conditioning": null, "prior_preservation": false, "prior_loss_weight": 1.0, "project_name": "my-stablediffusion-lora-4674", "seed": 42, "resolution": 1024, "center_crop": false, "train_text_encoder": false, "batch_size": 4, "sample_batch_size": 4, "epochs": 1, "num_steps": 18, "checkpointing_steps": 500, "resume_from_checkpoint": null, "gradient_accumulation": 4, "disable_gradient_checkpointing": false, "lr": 0.0005, "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": 16, "xl": true, "mixed_precision": "fp16", "push_to_hub": true, "username": "stablediffusionapi", "hf_private": false, "validation_prompt": null, "num_validation_images": 4, "validation_epochs": 50, "checkpoints_total_limit": null, "validation_images": null, "logging": false}