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End of training

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README.md ADDED
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+
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+ ---
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+ license: creativeml-openrail-m
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+ base_model: CompVis/stable-diffusion-v1-2
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+ tags:
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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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+ - textual_inversion
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+ inference: true
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+ ---
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+
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+ # Textual inversion text2image fine-tuning - mantagen/out
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+ These are textual inversion adaption weights for CompVis/stable-diffusion-v1-2. You can find some example images in the following.
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+
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+
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+ "do_rescale": true,
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+ "feature_extractor_type": "CLIPFeatureExtractor",
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+ "image_mean": [
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+ 0.48145466,
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+ 0.4578275,
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+ 0.40821073
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+ ],
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+ "image_processor_type": "CLIPImageProcessor",
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+ "image_std": [
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+ 0.26862954,
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+ 0.26130258,
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+ 0.27577711
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+ ],
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+ "resample": 3,
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+ "rescale_factor": 0.00392156862745098,
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+ "size": {
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+ "shortest_edge": 224
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+ }
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+ }
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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: 0.01
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+ allow_tf32: false
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+ center_crop: true
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+ checkpointing_steps: 100000
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+ checkpoints_total_limit: null
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+ dataloader_num_workers: 0
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+ enable_xformers_memory_efficient_attention: false
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+ gradient_accumulation_steps: 4
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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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+ initializer_token: person
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+ learnable_property: object
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+ learning_rate: 1.0e-05
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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_scheduler: constant
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+ lr_warmup_steps: 0
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+ max_train_steps: 400
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+ mixed_precision: fp16
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+ no_safe_serialization: false
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+ num_train_epochs: 2
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+ num_validation_images: 4
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+ num_vectors: 1
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+ output_dir: ./out
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+ placeholder_token: '[mg]'
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+ pretrained_model_name_or_path: CompVis/stable-diffusion-v1-2
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+ push_to_hub: true
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+ repeats: 100
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+ report_to: tensorboard
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+ resolution: 512
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+ save_steps: 500
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+ train_batch_size: 1
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+ train_data_dir: ./data/mg
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+ validation_prompt: null
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+ validation_steps: 100
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+ variant: null
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