
Use this VAE
描述:
{ "ss_batch_size_per_device": "5", "ss_bucket_info": { "buckets": { "0": { "resolution": [ 256, 1024 ], "count": 0 }, "1": { "resolution": [ 320, 1024 ], "count": 0 }, "2": { "resolution": [ 384, 960 ], "count": 0 }, "3": { "resolution": [ 384, 1024 ], "count": 0 }, "4": { "resolution": [ 448, 832 ], "count": 16 }, "5": { "resolution": [ 448, 896 ], "count": 5 }, "6": { "resolution": [ 512, 768 ], "count": 33 }, "7": { "resolution": [ 576, 704 ], "count": 20 }, "8": { "resolution": [ 640, 640 ], "count": 16 }, "9": { "resolution": [ 704, 576 ], "count": 4 }, "10": { "resolution": [ 768, 512 ], "count": 5 }, "11": { "resolution": [ 832, 448 ], "count": 25 }, "12": { "resolution": [ 896, 448 ], "count": 1 }, "13": { "resolution": [ 960, 384 ], "count": 0 }, "14": { "resolution": [ 1024, 256 ], "count": 0 }, "15": { "resolution": [ 1024, 320 ], "count": 1 }, "16": { "resolution": [ 1024, 384 ], "count": 0 } }, "mean_img_ar_error": 0.0466771636929008 }, "ss_cache_latents": "True", "ss_clip_skip": "2", "ss_color_aug": "False", "ss_dataset_dirs": { "1_jett_valorant 1girl": { "n_repeats": 1, "img_count": 126 }, ".ipynb_checkpoints": { "n_repeats": 0, "img_count": 0 } }, "ss_enable_bucket": "True", "ss_epoch": "20", "ss_flip_aug": "False", "ss_full_fp16": "False", "ss_gradient_accumulation_steps": "1", "ss_gradient_checkpointing": "False", "ss_keep_tokens": "None", "ss_learning_rate": "0.0001", "ss_lr_scheduler": "cosine_with_restarts", "ss_lr_warmup_steps": "0", "ss_max_bucket_reso": "1024", "ss_max_token_length": "225", "ss_max_train_steps": "580", "ss_min_bucket_reso": "256", "ss_mixed_precision": "fp16", "ss_network_alpha": "1.0", "ss_network_dim": "1", "ss_network_module": "networks.lora", "ss_new_sd_model_hash": "89d59c3dde4c56c6d5c41da34cc55ce479d93b4007046980934b14db71bdb2a8", "ss_new_vae_hash": "2f11c4a99ddc28d0ad8bce0acc38bed310b45d38a3fe4bb367dc30f3ef1a4868", "ss_num_batches_per_epoch": "29", "ss_num_epochs": "20", "ss_num_reg_images": "0", "ss_num_train_images": "126", "ss_output_name": "jett_valorant", "ss_random_crop": "False", "ss_reg_dataset_dirs": { "1_1girl": { "n_repeats": 1, "img_count": 0 } }, "ss_resolution": "(640, 640)", "ss_sd_model_hash": "925997e9", "ss_sd_model_name": "Animefull-final-pruned.ckpt", "ss_seed": "None", "ss_session_id": "2305008197", "ss_shuffle_caption": "True", "ss_tag_frequency": { "1_jett_valorant 1girl": { "1girl": 121, " solo": 115, " gloves": 68, " fingerless_gloves": 7, " floating": 8, " floating_object": 20, " blue_eyes": 19, " blonde_hair": 1, " blue_jacket": 6, " floating_weapon": 19, " weapon": 17, " kunai": 13, " breasts": 3, " leotard": 1, " cameltoe": 1, " belt": 2, " gun": 9, " looking_back": 2, " navel": 3, " jewelry": 1, " pants": 6, " hood": 4, " multiple_views": 1, " aqua_shirt": 1, " cropped_hoodie": 1, " black_pants": 10, " hooded_jacket": 1, " white_hair": 5, " hoodie": 2, " headphones": 1, " animification": 28, " knife": 18, " ponytail": 1, " sports_bra": 3, " shirt": 1, " backpack": 1, " holding": 9, " holding_weapon": 1, " holding_knife": 3, " sleeveless_jacket": 17, "solo": 2, " blue_hair": 2, " torn_clothes": 1, " sneakers": 1, " torn_pants": 1, " torn_jeans": 1, " shorts": 3, " phone": 1, " holding_phone": 1, " cropped_jacket": 1, " smile": 5, "breasts": 1, " jacket": 1, " one_eye_closed": 1, " red_background": 1, " ass": 2, " head_tilt": 2, " swimsuit": 1, " bikini": 1, " earrings": 1, " aqua_bikini": 1, " chibi": 1, " sitting": 1, " fence": 1, " handgun": 1, " monochrome": 1, " closed_eyes": 1, " portrait": 1, " hair_behind_ear": 1, " nose": 1, " blush": 1, "gloves": 1, " forehead_protector": 2, " fishnets": 1, " green_background": 1, " crossed_legs": 1 }, "1_1girl": {} }, "ss_text_encoder_lr": "5e-05", "ss_total_batch_size": "5", "ss_training_comment": "trained_by_fhsenpai", "ss_training_started_at": "1676405354.333745", "ss_unet_lr": "0.001", "ss_v2": "False", "ss_vae_hash": "975b2546", "ss_vae_name": "waifudiffusion.vae.pt", "sshs_legacy_hash": "8fac2fca", "sshs_model_hash": "d515986dfda356a9f9655ef19a0b5ddce9660713c33e0d37c0d83be6c457255e" }
训练词语:
名称: jett_valorant.safetensors
大小 (KB): 1263
类型: Model
Pickle 扫描结果: Success
Pickle 扫描信息: No Pickle imports
病毒扫描结果: Success