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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 photo of s23ultra to trigger the image generation. + +## Download model + +Weights for this model are available in Safetensors format. + +[Download](nimocodes/S23ultra/tree/main) them in the Files & versions tab. + diff --git a/Untitled.png b/Untitled.png new file mode 100644 index 0000000000000000000000000000000000000000..ce89a210f58daf08ee27c2399cd77d7e41dcbc53 Binary files /dev/null and b/Untitled.png differ diff --git a/prompt.txt b/prompt.txt new file mode 100644 index 0000000000000000000000000000000000000000..8232a920b46e4e71f7d02b562938cbd9881130bb --- /dev/null +++ b/prompt.txt @@ -0,0 +1 @@ +photo of s23ultra \ No newline at end of file diff --git a/pytorch_lora_weights.safetensors b/pytorch_lora_weights.safetensors new 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"stabilityai/stable-diffusion-xl-base-1.0", "vae_model": null, "revision": null, "tokenizer": null, "image_path": "S23ultra/autotrain-data", "class_image_path": null, "prompt": "photo of s23ultra", "class_prompt": null, "num_class_images": 100, "class_labels_conditioning": null, "prior_preservation": false, "prior_loss_weight": 1.0, "project_name": "S23ultra", "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": 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, 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