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MouseTrap
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StyleGen-Loopster-DL

Text-to-Image
Diffusers
TensorBoard
stable-diffusion
stable-diffusion-diffusers
lora
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End of training

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  1. README.md +21 -0
  2. checkpoint-500/optimizer.bin +3 -0
  3. checkpoint-500/pytorch_lora_weights.safetensors +3 -0
  4. checkpoint-500/random_states_0.pkl +3 -0
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  43. pytorch_lora_weights.safetensors +3 -0
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: riffusion/riffusion-model-v1
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+ instance_prompt: Loopster style
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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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+ - lora
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+ inference: true
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+ ---
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+
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+ # LoRA DreamBooth - MouseTrap/StyleGen-Looper
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+
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+ These are LoRA adaption weights for riffusion/riffusion-model-v1. The weights were trained on Loopster style using [DreamBooth](https://dreambooth.github.io/). You can find some example images in the following.
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+
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+
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+
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+ LoRA for the text encoder was enabled: False.
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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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+ instance_data_dir: /content/drive/MyDrive/styleGen-v2-testing/dataset/
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+ instance_prompt: Loopster style
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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: 0
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+ max_grad_norm: 1.0
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+ max_train_steps: 500
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+ mixed_precision: fp16
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+ num_class_images: 100
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+ num_train_epochs: 100
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+ num_validation_images: 4
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+ output_dir: MouseTrap/StyleGen-Looper
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