End of training

README.md

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+
+---
+tags:
+- autotrain
+- stable-diffusion-xl
+- stable-diffusion-xl-diffusers
+- text-to-image
+- diffusers
+- lora
+- template:sd-lora
+
+base_model: stabilityai/stable-diffusion-xl-base-1.0
+instance_prompt: <generate a Dono Consulting logo red font word and white background with red upper underline on O in the word Dono>
+license: openrail++
+---
+    
+# AutoTrain SDXL LoRA DreamBooth - madhusudhand/autotrain-f07as-szk5e
+
+<Gallery />
+
+## Model description
+
+These are madhusudhand/autotrain-f07as-szk5e LoRA adaption weights for stabilityai/stable-diffusion-xl-base-1.0.
+
+The weights were trained  using [DreamBooth](https://dreambooth.github.io/).
+
+LoRA for the text encoder was enabled: False.
+
+Special VAE used for training: None.
+
+## Trigger words
+
+You should use <generate a Dono Consulting logo red font word and white background with red upper underline on O in the word Dono> to trigger the image generation.
+
+## Download model
+
+Weights for this model are available in Safetensors format.
+
+[Download](madhusudhand/autotrain-f07as-szk5e/tree/main) them in the Files & versions tab.
+

checkpoint-500/optimizer.bin

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checkpoint-500/pytorch_lora_weights.safetensors

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checkpoint-500/random_states_0.pkl

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checkpoint-500/scaler.pt

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checkpoint-500/scheduler.bin

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prompt.txt

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+<generate a Dono Consulting logo red font word and white background with red upper underline on O in the word Dono>

pytorch_lora_weights.safetensors

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pytorch_lora_weights_kohya.safetensors

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training_params.json

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+{"model": "stabilityai/stable-diffusion-xl-base-1.0", "vae_model": "", "revision": null, "tokenizer": null, "image_path": "autotrain-f07as-szk5e/autotrain-data", "class_image_path": null, "prompt": "<generate a Dono Consulting logo red font word and white background with red upper underline on O in\u00a0the\u00a0word\u00a0Dono>", "class_prompt": null, "num_class_images": 100, "class_labels_conditioning": null, "prior_preservation": false, "prior_loss_weight": 1.0, "project_name": "autotrain-f07as-szk5e", "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": 500, "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": "madhusudhand", "validation_prompt": null, "num_validation_images": 4, "validation_epochs": 50, "checkpoints_total_limit": null, "validation_images": null, "logging": false}