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End of training

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README.md CHANGED
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  ---
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  tags:
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  - autotrain
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- - stable-diffusion
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- - stable-diffusion-diffusers
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  - text-to-image
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  - diffusers
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  - lora
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  - template:sd-lora
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- base_model: runwayml/stable-diffusion-v1-5
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- instance_prompt: A portrait in a distinctive expressive style characterized by vivid color use, emotional depth, and dynamic brush strokes, capturing the nuanced expressions of children and teenagers.
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  license: openrail++
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  ---
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- # AutoTrain LoRA DreamBooth - kpal002/exactly-ai-diffusion-model
 
 
 
 
 
 
 
 
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- These are LoRA adaption weights for runwayml/stable-diffusion-v1-5. The weights were trained on A portrait in a distinctive expressive style characterized by vivid color use, emotional depth, and dynamic brush strokes, capturing the nuanced expressions of children and teenagers. using [DreamBooth](https://dreambooth.github.io/).
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  LoRA for the text encoder was enabled: False.
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ---
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  tags:
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  - autotrain
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+ - stable-diffusion-xl
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+ - stable-diffusion-xl-diffusers
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  - text-to-image
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  - diffusers
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  - lora
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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: An expressive and emotional portrait characterized by a modern impressionistic style. The portrait features bold, thick brushstrokes and an interplay of light and vivid colors, focusing on the emotional depth of the subject. Facial features are slightly exaggerated, with particular emphasis on large, detailed eyes that convey intimacy and personality. The color palette is vibrant, with soft transitions to add a dreamlike quality to the images. The goal is to capture a nuanced blend of abstract realism and emotional expressionism in the portrait.
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  license: openrail++
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  ---
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+ # AutoTrain SDXL LoRA DreamBooth - kpal002/exactly-ai-diffusion-model
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+
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+ <Gallery />
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+
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+ ## Model description
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+
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+ These are kpal002/exactly-ai-diffusion-model LoRA adaption weights for stabilityai/stable-diffusion-xl-base-1.0.
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+
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+ The weights were trained using [DreamBooth](https://dreambooth.github.io/).
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  LoRA for the text encoder was enabled: False.
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+
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+ Special VAE used for training: None.
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+
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+ ## Trigger words
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+
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+ You should use An expressive and emotional portrait characterized by a modern impressionistic style. The portrait features bold, thick brushstrokes and an interplay of light and vivid colors, focusing on the emotional depth of the subject. Facial features are slightly exaggerated, with particular emphasis on large, detailed eyes that convey intimacy and personality. The color palette is vibrant, with soft transitions to add a dreamlike quality to the images. The goal is to capture a nuanced blend of abstract realism and emotional expressionism in the portrait. to trigger the image generation.
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+
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+ ## Download model
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+
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+ Weights for this model are available in Safetensors format.
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+
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+ [Download](kpal002/exactly-ai-diffusion-model/tree/main) them in the Files & versions tab.
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+
prompt.txt CHANGED
@@ -1 +1 @@
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- A portrait in a distinctive expressive style characterized by vivid color use, emotional depth, and dynamic brush strokes, capturing the nuanced expressions of children and teenagers.
 
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+ An expressive and emotional portrait characterized by a modern impressionistic style. The portrait features bold, thick brushstrokes and an interplay of light and vivid colors, focusing on the emotional depth of the subject. Facial features are slightly exaggerated, with particular emphasis on large, detailed eyes that convey intimacy and personality. The color palette is vibrant, with soft transitions to add a dreamlike quality to the images. The goal is to capture a nuanced blend of abstract realism and emotional expressionism in the portrait.
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training_params.json CHANGED
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- {"model": "runwayml/stable-diffusion-v1-5", "vae_model": null, "revision": null, "tokenizer": null, "image_path": "exactly-ai-diffusion-model/autotrain-data", "class_image_path": null, "prompt": "A portrait in a distinctive expressive style characterized by vivid color use, emotional depth, and dynamic brush strokes, capturing the nuanced expressions of children and teenagers.", "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": 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": "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": "An expressive and emotional portrait characterized by a modern impressionistic style. The portrait features bold, thick brushstrokes and an interplay of light and vivid colors, focusing on the emotional depth of the subject. Facial features are slightly exaggerated, with particular emphasis on large, detailed eyes that convey intimacy and personality. The color palette is vibrant, with soft transitions to add a dreamlike quality to the images. The goal is to capture a nuanced blend of abstract realism and emotional expressionism in the 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": 500, "checkpointing_steps": 100000, "resume_from_checkpoint": null, "gradient_accumulation": 4, "disable_gradient_checkpointing": false, "lr": 5e-06, "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}