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AngelUrq
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logo-diffusion

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stable-diffusion
stable-diffusion-diffusers
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AngelUrq commited on
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End of training

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Files changed (9) hide show
  1. README.md +2 -2
  2. image_0.png +2 -2
  3. image_1.png +2 -2
  4. image_2.png +2 -2
  5. image_3.png +2 -2
  6. logs/text2image-fine-tune/1680571391.8735306/events.out.tfevents.1680571391.5083f0b9e62b.1626.1 +3 -0
  7. logs/text2image-fine-tune/1680571391.8759298/hparams.yml +48 -0
  8. logs/text2image-fine-tune/events.out.tfevents.1680571391.5083f0b9e62b.1626.0 +3 -0
  9. pytorch_lora_weights.bin +2 -2
README.md CHANGED
@@ -1,7 +1,7 @@
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  ---
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  license: creativeml-openrail-m
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- base_model: stabilityai/stable-diffusion-2-1
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  tags:
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  - stable-diffusion
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  - stable-diffusion-diffusers
@@ -12,7 +12,7 @@ inference: true
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  ---
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  # LoRA text2image fine-tuning - https://huggingface.co/AngelUrq/logo-diffusion
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- These are LoRA adaption weights for stabilityai/stable-diffusion-2-1. The weights were fine-tuned on the AngelUrq/logos dataset. You can find some example images in the following.
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  ![img_0](./image_0.png)
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  ![img_1](./image_1.png)
 
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  ---
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  license: creativeml-openrail-m
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+ base_model: CompVis/stable-diffusion-v1-4
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  tags:
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  - stable-diffusion
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  - stable-diffusion-diffusers
 
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  ---
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  # LoRA text2image fine-tuning - https://huggingface.co/AngelUrq/logo-diffusion
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+ These are LoRA adaption weights for CompVis/stable-diffusion-v1-4. The weights were fine-tuned on the AngelUrq/logos dataset. You can find some example images in the following.
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  ![img_0](./image_0.png)
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  ![img_1](./image_1.png)
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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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+ cache_dir: null
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+ caption_column: text
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+ center_crop: true
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+ checkpointing_steps: 10000
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+ checkpoints_total_limit: null
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+ dataloader_num_workers: 0
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+ dataset_config_name: null
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+ dataset_name: AngelUrq/logos
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+ enable_xformers_memory_efficient_attention: false
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+ gradient_accumulation_steps: 1
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+ gradient_checkpointing: false
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+ hub_model_id: AngelUrq/logo-diffusion
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+ hub_token: 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
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+ image_column: image
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+ learning_rate: 0.0001
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+ local_rank: -1
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+ logging_dir: logs
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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_samples: null
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+ max_train_steps: 3000
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+ mixed_precision: null
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+ noise_offset: 0
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+ num_train_epochs: 10
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+ num_validation_images: 4
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+ output_dir: logo-diffusion
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+ pretrained_model_name_or_path: CompVis/stable-diffusion-v1-4
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+ push_to_hub: true
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+ random_flip: false
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+ report_to: tensorboard
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+ resolution: 512
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+ resume_from_checkpoint: null
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+ scale_lr: false
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+ seed: 42
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+ train_batch_size: 1
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+ use_8bit_adam: false
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+ validation_epochs: 1
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+ validation_prompt: a logo featuring a lively duck with a bright yellow-orange beak
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+ and expressive eyes, depicted in various shades of brown and beige, creates a playful
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+ and approachable design
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