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Upload folder using huggingface_hub

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README.md ADDED
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+ ---
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+ tags:
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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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+ widget:
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+
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+ - text: 'A photo of TOK'
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+
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+ base_model: stabilityai/stable-diffusion-xl-base-1.0
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+ instance_prompt: A photo of TOK
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+ license: openrail++
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+ ---
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+
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+ # SDXL LoRA DreamBooth - camisa-do-palmeiras
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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 camisa-do-palmeiras LoRA adaption weights for stabilityai/stable-diffusion-xl-base-1.0.
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+
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+ ## Download model
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+
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+ ### Use it with UIs such as AUTOMATIC1111, Comfy UI, SD.Next, Invoke
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+
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+ - **LoRA**: download **[`camisa-do-palmeiras.safetensors` here 💾](/camisa-do-palmeiras/blob/main/camisa-do-palmeiras.safetensors)**.
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+ - Place it on your `models/Lora` folder.
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+ - On AUTOMATIC1111, load the LoRA by adding `<lora:camisa-do-palmeiras:1>` to your prompt. On ComfyUI just [load it as a regular LoRA](https://comfyanonymous.github.io/ComfyUI_examples/lora/).
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+
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+
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+ ## Use it with the [🧨 diffusers library](https://github.com/huggingface/diffusers)
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+
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+ ```py
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+ from diffusers import AutoPipelineForText2Image
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+ import torch
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+
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+ pipeline = AutoPipelineForText2Image.from_pretrained('stabilityai/stable-diffusion-xl-base-1.0', torch_dtype=torch.float16).to('cuda')
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+ pipeline.load_lora_weights('camisa-do-palmeiras', weight_name='pytorch_lora_weights.safetensors')
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+
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+ image = pipeline('A photo of TOK').images[0]
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+ ```
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+
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+ For more details, including weighting, merging and fusing LoRAs, check the [documentation on loading LoRAs in diffusers](https://huggingface.co/docs/diffusers/main/en/using-diffusers/loading_adapters)
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+
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+ ## Trigger words
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+
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+ You should use A photo of TOK to trigger the image generation.
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+
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+ ## Details
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+ All [Files & versions](/camisa-do-palmeiras/tree/main).
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+
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+ The weights were trained using [🧨 diffusers Advanced Dreambooth Training Script](https://github.com/huggingface/diffusers/blob/main/examples/advanced_diffusion_training/train_dreambooth_lora_sdxl_advanced.py).
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+
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+ LoRA for the text encoder was enabled. True.
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+
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+ Pivotal tuning was enabled: False.
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+
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+ Special VAE used for training: madebyollin/sdxl-vae-fp16-fix.
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+
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logs/dreambooth-lora-sd-xl/1711726909.2382014/events.out.tfevents.1711726909.r-amazonaws-sp-autotrain-camisa-do-palmeiras-nfg8b5wz-d367e-esg.184.1 ADDED
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logs/dreambooth-lora-sd-xl/1711726909.2395492/hparams.yml ADDED
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+ adam_beta1: 0.9
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+ adam_beta2: 0.999
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+ adam_epsilon: 1.0e-08
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+ adam_weight_decay: 0.0001
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+ adam_weight_decay_text_encoder: null
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+ allow_tf32: false
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+ cache_dir: null
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+ cache_latents: true
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+ caption_column: prompt
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+ center_crop: false
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+ checkpointing_steps: 100000
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+ checkpoints_total_limit: null
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+ class_data_dir: null
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+ class_prompt: null
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+ crops_coords_top_left_h: 0
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+ crops_coords_top_left_w: 0
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+ dataloader_num_workers: 0
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+ dataset_config_name: null
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+ dataset_name: ./70ba183a-11f2-4096-8d5a-ded17f29d88e
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+ enable_xformers_memory_efficient_attention: false
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+ gradient_accumulation_steps: 1
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+ gradient_checkpointing: true
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+ hub_model_id: null
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+ hub_token: null
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+ image_column: image
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+ instance_data_dir: null
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+ instance_prompt: A photo of TOK
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+ learning_rate: 1.0e-06
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+ local_rank: -1
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+ logging_dir: logs
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+ lr_num_cycles: 1
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+ lr_power: 1.0
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+ lr_scheduler: constant
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+ lr_warmup_steps: 100
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+ max_grad_norm: 1.0
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+ max_train_steps: 1000
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+ mixed_precision: fp16
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+ noise_offset: 0
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+ num_class_images: 100
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+ num_new_tokens_per_abstraction: 2
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+ num_train_epochs: 143
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+ num_validation_images: 4
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+ optimizer: prodigy
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+ output_dir: camisa-do-palmeiras
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+ pretrained_model_name_or_path: stabilityai/stable-diffusion-xl-base-1.0
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+ pretrained_vae_model_name_or_path: madebyollin/sdxl-vae-fp16-fix
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+ prior_generation_precision: null
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+ prior_loss_weight: 1.0
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+ prodigy_beta3: null
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+ prodigy_decouple: true
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+ prodigy_safeguard_warmup: true
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+ prodigy_use_bias_correction: true
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+ push_to_hub: false
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+ rank: 32
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+ repeats: 2
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+ report_to: tensorboard
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+ resolution: 1024
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+ resume_from_checkpoint: null
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+ revision: null
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+ sample_batch_size: 4
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+ scale_lr: false
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+ seed: 42
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+ snr_gamma: null
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+ text_encoder_lr: 1.0
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+ token_abstraction: TOK
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+ train_batch_size: 4
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+ train_text_encoder: true
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+ train_text_encoder_frac: 0.8
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+ train_text_encoder_ti: false
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+ train_text_encoder_ti_frac: 0.5
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+ use_8bit_adam: false
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+ validation_epochs: 50
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+ validation_prompt: null
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+ variant: null
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+ with_prior_preservation: false
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