awais-nayyar
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End of training
Browse files- README.md +40 -0
- checkpoint-500/optimizer.bin +3 -0
- checkpoint-500/pytorch_lora_weights.safetensors +3 -0
- checkpoint-500/random_states_0.pkl +3 -0
- checkpoint-500/scaler.pt +3 -0
- checkpoint-500/scheduler.bin +3 -0
- prompt.txt +1 -0
- pytorch_lora_weights.safetensors +3 -0
- pytorch_lora_weights_kohya.safetensors +3 -0
- training_params.json +1 -0
README.md
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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: A photo of Awais Nayyar wearing casual clothes, standing and smiling.
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license: openrail++
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---
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# AutoTrain SDXL LoRA DreamBooth - awais-nayyar/Dreambooth-SDXL-Awi-3
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<Gallery />
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## Model description
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These are awais-nayyar/Dreambooth-SDXL-Awi-3 LoRA adaption weights for stabilityai/stable-diffusion-xl-base-1.0.
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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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Special VAE used for training: None.
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## Trigger words
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You should use A photo of Awais Nayyar wearing casual clothes, standing and smiling. to trigger the image generation.
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## Download model
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Weights for this model are available in Safetensors format.
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[Download](awais-nayyar/Dreambooth-SDXL-Awi-3/tree/main) them in the Files & versions tab.
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checkpoint-500/optimizer.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:4be5bb575ca3ee48fa78ef718bf3ec6ffe02780aff8c0626b82c169680e2925f
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size 47392882
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checkpoint-500/pytorch_lora_weights.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:2348cf4ccacb16d7f1d58f09548676573a146c1621fe928a9c274f4b2df70bc4
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size 23390424
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checkpoint-500/random_states_0.pkl
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version https://git-lfs.github.com/spec/v1
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oid sha256:bb65f2145d59fe3d75f68754394d32168b32cbe9bfaa354f3a2c8eb5b748c6d0
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size 14344
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checkpoint-500/scaler.pt
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version https://git-lfs.github.com/spec/v1
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oid sha256:18b984273ea2d45b7ffb1d047bb359d93111e41fcad70d16a1b453fd38f72636
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size 988
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checkpoint-500/scheduler.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:6cf34ac8dd2addc454aeb1ee4eaba3267c2841857e117be40ac2ed02cf581c9c
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size 1000
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prompt.txt
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A photo of Awais Nayyar wearing casual clothes, standing and smiling.
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pytorch_lora_weights.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:2348cf4ccacb16d7f1d58f09548676573a146c1621fe928a9c274f4b2df70bc4
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size 23390424
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pytorch_lora_weights_kohya.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:941c2cda0b4c830e51955751a1951e586354b3e10987c7be305f3824f01e60b1
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size 23473224
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training_params.json
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{"model": "stabilityai/stable-diffusion-xl-base-1.0", "vae_model": null, "revision": null, "tokenizer": null, "image_path": "Dreambooth-SDXL-Awi-3/autotrain-data", "class_image_path": null, "prompt": "A photo of Awais Nayyar wearing casual clothes, standing and smiling.", "class_prompt": null, "num_class_images": 100, "class_labels_conditioning": null, "prior_preservation": false, "prior_loss_weight": 1.0, "project_name": "Dreambooth-SDXL-Awi-3", "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": true, "mixed_precision": "fp16", "push_to_hub": true, "username": "awais-nayyar", "validation_prompt": null, "num_validation_images": 4, "validation_epochs": 50, "checkpoints_total_limit": null, "validation_images": null, "logging": false}
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