| { | |
| "modelspec.architecture": "stable-diffusion-xl-v1-base/lora", | |
| "modelspec.date": "2024-06-12T21:34:27", | |
| "modelspec.implementation": "https://github.com/Stability-AI/generative-models", | |
| "modelspec.prediction_type": "epsilon", | |
| "modelspec.resolution": "512x512", | |
| "modelspec.sai_model_spec": "1.0.0", | |
| "modelspec.title": "owlboy", | |
| "ss_adaptive_noise_scale": null, | |
| "ss_base_model_version": "sdxl_base_v1-0", | |
| "ss_batch_size_per_device": 8, | |
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| "resolution": [ | |
| 672, | |
| 384 | |
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| "mean_img_ar_error": 0.02777777777777768 | |
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| "ss_bucket_no_upscale": false, | |
| "ss_cache_latents": true, | |
| "ss_caption_dropout_every_n_epochs": 0, | |
| "ss_caption_dropout_rate": 0.0, | |
| "ss_caption_tag_dropout_rate": 0.0, | |
| "ss_clip_skip": null, | |
| "ss_color_aug": false, | |
| "ss_dataset_dirs": { | |
| "1_owlboy": { | |
| "img_count": 18, | |
| "n_repeats": 1 | |
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| "ss_debiased_estimation": false, | |
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| "ss_flip_aug": true, | |
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| "ss_gradient_accumulation_steps": 6, | |
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| "ss_huber_schedule": "snr", | |
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| "ss_keep_tokens": 0, | |
| "ss_learning_rate": 0.0001, | |
| "ss_loss_type": "l2", | |
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| "ss_lr_scheduler": "cosine", | |
| "ss_lr_warmup_steps": 0, | |
| "ss_max_bucket_reso": 1024, | |
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| "ss_max_train_steps": 400, | |
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| "ss_mixed_precision": "fp16", | |
| "ss_multires_noise_discount": 0.1, | |
| "ss_multires_noise_iterations": 10, | |
| "ss_network_alpha": 4.0, | |
| "ss_network_args": { | |
| "algo": "locon", | |
| "conv_alpha": "4", | |
| "conv_dim": "256", | |
| "dora_wd": "False", | |
| "dropout": 0.0, | |
| "module_dropout": "0", | |
| "preset": "full", | |
| "rank_dropout": "0", | |
| "rank_dropout_scale": "False", | |
| "train_norm": "False", | |
| "use_scalar": "False", | |
| "use_tucker": "False" | |
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| "ss_network_dim": 8, | |
| "ss_network_dropout": 0.0, | |
| "ss_network_module": "lycoris.kohya", | |
| "ss_new_sd_model_hash": "67ab2fd8ec439a89b3fedb15cc65f54336af163c7eb5e4f2acc98f090a29b0b3", | |
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| "ss_num_epochs": 400, | |
| "ss_num_reg_images": 0, | |
| "ss_num_train_images": 18, | |
| "ss_optimizer": "torch.optim.adamw.AdamW", | |
| "ss_output_name": "owlboy", | |
| "ss_prior_loss_weight": 1.0, | |
| "ss_random_crop": false, | |
| "ss_reg_dataset_dirs": {}, | |
| "ss_resolution": "(512, 512)", | |
| "ss_scale_weight_norms": 1.0, | |
| "ss_sd_model_hash": "e577480d", | |
| "ss_sd_model_name": "p.safetensors", | |
| "ss_sd_scripts_commit_hash": "5fe801a51066f8a83eec30047d6a47026bdcde27", | |
| "ss_seed": 3899842478, | |
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| "ss_shuffle_caption": true, | |
| "ss_steps": 400, | |
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| "1_owlboy": { | |
| "a large tree whose roots and trunk form a complex structure supporting a floating island with lush greenery and smaller trees.": 1, | |
| "a tranquil natural setting with two grassy platforms and towering rock formations in the background creating a sense of depth.": 1, | |
| "a vibrant pixel art scene from a video game that depicts two characters standing on a stony grass platform in a lush environment.": 1, | |
| "a video game scene with an overcast sky and a green landscape where two characters stand ready for action near a cauldron.": 1, | |
| "an owl-like creature stands on the left platform while a taller owl-like figure is on the right both adding life to the serene landscape.": 1, | |
| "barren trees add to the natural but slightly desolate atmosphere.": 1, | |
| "behind them is a large green structure that resembles a cannon with metallic accents.": 1, | |
| "black background": 2, | |
| "earthy browns and grays are used for the stone platform and green for the large tree that goes up in the sky while brown is for the smaller tree's trunk and wooden railing around the platform with highlights.": 1, | |
| "gui": 4, | |
| "icons": 1, | |
| "in terms of colors the image uses a rich palette: the clouds are various shades of gray; the grass and flowers are vibrant greens with pops of white and orange and the characters are dressed in brown and beige with red noses.": 1, | |
| "interior": 2, | |
| "letterbox": 9, | |
| "mouse cursor": 4, | |
| "ollboi": 18, | |
| "one character appears to be speaking suggesting an element of storytelling.": 1, | |
| "overall": 1, | |
| "pixel \\(artwork\\)": 18, | |
| "pixel art": 18, | |
| "simple background": 2, | |
| "speech bubble": 3, | |
| "text": 2, | |
| "the capsule-like structure shares the green hues of the trees but also includes grey metallic tones reflecting its artificial nature.": 1, | |
| "the color palette is varied and lively.": 1, | |
| "the color scheme is a harmonious blend of greens; grays and whites with the creatures in earthy browns and tans.": 1, | |
| "the colors contribute to the adventurous vibe of the scene.": 1, | |
| "the cursor’s standard white and blue design stands out against the detailed pixel art adding a layer of interactivity to the scene.": 1, | |
| "the greens of the grass contrast with the grays of the rocks while the white tones in the sky and mist add an ethereal quality to the scene.": 1, | |
| "the mouse cursor visible above one character’s head suggests interaction on a computer screen.": 1, | |
| "the overall palette evokes a peaceful and otherworldly atmosphere.": 1, | |
| "the rock formations below are in lighter grays blending into the fog at their bases contributing to the fantastical atmosphere of the scene. the image employs a soft naturalistic palette that enhances the fantasy element.": 1, | |
| "the sky is a gradient of blues creating depth and is dotted with fluffy white clouds.": 1, | |
| "the sky is a mix of light blue to white while the tree and island feature vibrant greens and grayish-brown adding depth and texture.": 1, | |
| "the sky's light blue hues and white create a calm backdrop;": 1, | |
| "the text in the image reads: “maybe we should take that trip to advent today!” further hinting at an adventure.": 1, | |
| "the vegetation is a mix of bright lime greens and deeper forest greens giving the scene a lifelike feel.": 1 | |
| } | |
| }, | |
| "ss_text_encoder_lr": 0.0001, | |
| "ss_total_batch_size": 96, | |
| "ss_training_comment": null, | |
| "ss_training_finished_at": 1718228067.603494, | |
| "ss_training_started_at": 1718222921.035961, | |
| "ss_unet_lr": 0.0001, | |
| "ss_v2": false, | |
| "ss_zero_terminal_snr": false, | |
| "sshs_legacy_hash": "6cf056e6", | |
| "sshs_model_hash": "5b2ec4920957ff65de168c11219b5c5742ca6ecdfe31168a08317fc03b8fc9f1" | |
| } |