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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: kerianheyi/CS245-fine-tunedSD10600_11000_14122
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+ datasets:
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+ - jytjyt05/t_to_m7
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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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+ inference: true
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+ ---
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+
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+ # Text-to-image finetuning - kerianheYi/CS245-fine-tunedSD11000_11400_14122
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+
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+ This pipeline was finetuned from **kerianheyi/CS245-fine-tunedSD10600_11000_14122** on the **jytjyt05/t_to_m7** dataset. Below are some example images generated with the finetuned pipeline using the following prompts: ['A melSpectrogram for piano solo in Major']:
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+
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+ ![val_imgs_grid](./val_imgs_grid.png)
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+
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+
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+ ## Pipeline usage
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+
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+ You can use the pipeline like so:
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+
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+ ```python
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+ from diffusers import DiffusionPipeline
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+ import torch
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+
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+ pipeline = DiffusionPipeline.from_pretrained("kerianheYi/CS245-fine-tunedSD11000_11400_14122", torch_dtype=torch.float16)
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+ prompt = "A melSpectrogram for piano solo in Major"
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+ image = pipeline(prompt).images[0]
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+ image.save("my_image.png")
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+ ```
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+
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+ ## Training info
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+
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+ These are the key hyperparameters used during training:
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+
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+ * Epochs: 1
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+ * Learning rate: 1e-05
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+ * Batch size: 1
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+ * Gradient accumulation steps: 4
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+ * Image resolution: 512
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+ * Mixed-precision: fp16
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+
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+ "do_resize": 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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+ "use_square_size": false
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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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+ cache_dir: null
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+ caption_column: caption
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+ center_crop: false
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+ checkpointing_steps: 100000
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+ dataset_name: jytjyt05/t_to_m7
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+ image_column: image
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+ input_perturbation: 0
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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_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: 400
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+ mixed_precision: fp16
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+ noise_offset: 0
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+ non_ema_revision: null
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+ num_train_epochs: 1
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+ output_dir: kerianheyi/CS245-fine-tunedSD11000_11400_14122
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+ prediction_type: null
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+ pretrained_model_name_or_path: kerianheyi/CS245-fine-tunedSD10600_11000_14122
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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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+ revision: null
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+ scale_lr: false
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+ seed: null
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+ snr_gamma: null
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+ tracker_project_name: text2image-fine-tune
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+ train_batch_size: 1
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+ train_data_dir: null
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+ use_8bit_adam: false
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+ use_ema: true
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+ validation_epochs: 5
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+ variant: null
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