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End of training

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README.md CHANGED
@@ -10,7 +10,7 @@ tags:
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  - template:sd-lora
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  base_model: stabilityai/stable-diffusion-xl-base-1.0
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- instance_prompt: Craft expressive, modern impressionistic portraits with bold brushstrokes and vibrant colors. Highlight emotional depth and exaggerated features, focusing on large, detailed eyes. The color palette should subtly transition, adding a dreamlike quality, capturing abstract realism and emotional expressionism.
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  license: openrail++
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  ---
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@@ -30,7 +30,7 @@ Special VAE used for training: None.
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  ## Trigger words
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- You should use Craft expressive, modern impressionistic portraits with bold brushstrokes and vibrant colors. Highlight emotional depth and exaggerated features, focusing on large, detailed eyes. The color palette should subtly transition, adding a dreamlike quality, capturing abstract realism and emotional expressionism. to trigger the image generation.
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  ## Download model
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  - template:sd-lora
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  base_model: stabilityai/stable-diffusion-xl-base-1.0
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+ instance_prompt: Create vibrant and colorful portraits with exaggerated, bold brushstrokes that capture the emotional essence and character of the subjects. Focus on close-up shots of faces, highlighting large, expressive eyes and detailed facial features. Use a dynamic and vivid color palette to convey intense emotions and a dreamlike quality, enhancing the abstract realism and emotional expressionism in each portrait.
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  license: openrail++
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  ---
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  ## Trigger words
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+ You should use Create vibrant and colorful portraits with exaggerated, bold brushstrokes that capture the emotional essence and character of the subjects. Focus on close-up shots of faces, highlighting large, expressive eyes and detailed facial features. Use a dynamic and vivid color palette to convey intense emotions and a dreamlike quality, enhancing the abstract realism and emotional expressionism in each portrait. to trigger the image generation.
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  ## Download model
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prompt.txt CHANGED
@@ -1 +1 @@
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- Craft expressive, modern impressionistic portraits with bold brushstrokes and vibrant colors. Highlight emotional depth and exaggerated features, focusing on large, detailed eyes. The color palette should subtly transition, adding a dreamlike quality, capturing abstract realism and emotional expressionism.
 
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+ Create vibrant and colorful portraits with exaggerated, bold brushstrokes that capture the emotional essence and character of the subjects. Focus on close-up shots of faces, highlighting large, expressive eyes and detailed facial features. Use a dynamic and vivid color palette to convey intense emotions and a dreamlike quality, enhancing the abstract realism and emotional expressionism in each portrait.
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training_params.json CHANGED
@@ -1 +1 @@
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- {"model": "stabilityai/stable-diffusion-xl-base-1.0", "vae_model": null, "revision": null, "tokenizer": null, "image_path": "exactly-ai-diffusion-model/autotrain-data", "class_image_path": null, "prompt": "Craft expressive, modern impressionistic portraits with bold brushstrokes and vibrant colors. Highlight emotional depth and exaggerated features, focusing on large, detailed eyes. The color palette should subtly transition, adding a dreamlike quality, capturing abstract realism and emotional expressionism.", "class_prompt": null, "num_class_images": 100, "class_labels_conditioning": null, "prior_preservation": false, "prior_loss_weight": 1.0, "project_name": "exactly-ai-diffusion-model", "seed": 42, "resolution": 512, "center_crop": false, "train_text_encoder": false, "batch_size": 1, "sample_batch_size": 4, "epochs": 1, "num_steps": 1200, "checkpointing_steps": 100000, "resume_from_checkpoint": null, "gradient_accumulation": 4, "disable_gradient_checkpointing": false, "lr": 1e-05, "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": true, "mixed_precision": "fp16", "push_to_hub": true, "username": "kpal002", "validation_prompt": null, "num_validation_images": 4, "validation_epochs": 50, "checkpoints_total_limit": null, "validation_images": null, "logging": false}
 
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+ {"model": "stabilityai/stable-diffusion-xl-base-1.0", "vae_model": null, "revision": null, "tokenizer": null, "image_path": "exactly-ai-diffusion-model/autotrain-data", "class_image_path": null, "prompt": "Create vibrant and colorful portraits with exaggerated, bold brushstrokes that capture the emotional essence and character of the subjects. Focus on close-up shots of faces, highlighting large, expressive eyes and detailed facial features. Use a dynamic and vivid color palette to convey intense emotions and a dreamlike quality, enhancing the abstract realism and emotional expressionism in each portrait.", "class_prompt": null, "num_class_images": 100, "class_labels_conditioning": null, "prior_preservation": false, "prior_loss_weight": 1.0, "project_name": "exactly-ai-diffusion-model", "seed": 42, "resolution": 1024, "center_crop": false, "train_text_encoder": false, "batch_size": 1, "sample_batch_size": 4, "epochs": 1, "num_steps": 400, "checkpointing_steps": 100000, "resume_from_checkpoint": null, "gradient_accumulation": 4, "disable_gradient_checkpointing": false, "lr": 1e-05, "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": true, "mixed_precision": "fp16", "push_to_hub": true, "username": "kpal002", "validation_prompt": null, "num_validation_images": 4, "validation_epochs": 50, "checkpoints_total_limit": null, "validation_images": null, "logging": false}