自stable diffusion开源之后AIGC绘画方向定制化百花齐放百家争鸣。
而c站 https://civitai.com/
也聚集了全球爱好者的各种微调训练模型分享。
其中以lora为首，应用最广泛。
而这些模型是怎么训练出来的，细节到底是什么样的，没有多少人能说得清楚。
而就博主知道的，
使用最广泛的训练代码是这份 https://github.com/bmaltais/kohya_ss
它流行的原因主要是在其做了个GUI界面，便于很多不懂代码的人也能使用。
这里博主没打算讲解kohya_ss下具体训练方法和其参数。
想知道具体训练参数和细节，可以移步其wiki
https://github.com/bmaltais/kohya_ss/wiki/LoRA-training-parameters
还是不懂，也可以问各种gpt或者直接翻译成中文阅读即可。
现在主流最广泛使用的模型存储格式为 huggingface的safetensors
https://github.com/huggingface/safetensors
kohya_ss里默认会把训练参数填到safetensors的metadata里。
说到这里，lora训练之偷师 答案呼之欲出。
假设我们从c站上把safetensors模型下载下来，
然后读出来它的metadata信息,
那不就能知道这个模型具体的训练参数吗？
而在博主实操读出来好几个主流模型的参数之后，很感慨:
c站上的模型真的很demo，训练的数据集大多都不大，分辨率也不高，有的也就百来张图。
训练参数也可以大概评估出来，每个模型作者的用心程度，
当然也可以作为评价模型的一种标准，
例如：看过了多少张图，什么样的分辨率训练的，训练了多久之类的。
也就对这个微调的模型能有个大概认知。
多看几个模型之后，
新手也可以快速上手训练自己的lora，定制自己的AI女友之类的。
你说你想直接抄他们的参数训练，当然也是可以的，偷师不可耻很光荣。
为了方便读取模型的模型的训练信息，博主写了个小工具。
开源地址为:
https://github.com/cpuimage/st_metadata_parser
使用也非常简单:
python st_metadata_parser.py input_file.safetensors
输出的参数具体含义可以参考：
https://github.com/bmaltais/kohya_ss/wiki/LoRA-training-parameters
附一份C站上某个lora模型文件的训练参数供一览：
[('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', '2'),
('ss_dataset_dirs', '{"rapunzel": {"n_repeats": 5, "img_count": 40}}'),
('ss_datasets',
'[{"is_dreambooth": true, "batch_size_per_device": 2, "num_train_images": '
'200, "num_reg_images": 0, "resolution": [512, 512], "enable_bucket": true, '
'"min_bucket_reso": 256, "max_bucket_reso": 1024, "tag_frequency": '
'{"rapunzel": {"rapunzel 1girl": 40, "solo": 39, "long hair": 37, "smile": '
'26, "blonde hair": 38, "dress": 21, "very long hair": 18, "green eyes": 30, '
'"crossed arms": 3, "corset": 5, "purple dress": 12, "breasts": 13, "open '
'mouth": 7, "medium breasts": 5, "nipples": 7, "swimsuit": 2, "bikini": 1, '
'"tongue": 2, "striped": 1, "lips": 7, "micro bikini": 1, "freckles": 5, '
'"looking at viewer": 10, "long sleeves": 7, "cleavage": 3, "multiple boys": '
'1, "puffy sleeves": 7, "2boys": 1, "full body": 4, "absurdly long hair": 2, '
'"grin": 2, "hand on hip": 3, "juliet sleeves": 1, "blush": 3, "large '
'breasts": 4, "hair ornament": 5, "standing": 2, "flower": 7, "cowboy shot": '
'1, "teeth": 5, "indoors": 1, "hair flower": 5, "one-piece swimsuit": 1, '
'"covered navel": 1, "makeup": 2, "cameltoe": 1, "highleg": 1, "lamp": 1, '
'"braid": 4, "blurry": 2, "arm up": 1, "depth of field": 1, "blurry '
'background": 2, "looking up": 3, "bokeh": 1, "upper body": 4, "short '
'sleeves": 3, "closed eyes": 1, "small breasts": 1, "lying": 3, "signature": '
'1, "on back": 1, "arms up": 2, "eyelashes": 1, "from above": 1, "happy": 1, '
'"grass": 1, "cross-laced clothes": 1, "hair spread out": 1, "sitting": 4, '
'"outdoors": 2, "barefoot": 7, "water": 1, "tree": 2, "pink dress": 1, '
'"holding flower": 1, "lily pad": 1, "simple background": 5, "white '
'background": 3, "frog": 4, "black background": 2, "child": 1, "star print": '
'1, "lantern": 1, "blue eyes": 2, "navel": 5, "underwear": 2, "panties": 2, '
'"thigh gap": 1, "bound": 2, "bdsm": 2, "bondage": 2, "gag": 1, "gagged": 1, '
'"improvised gag": 1, "cloth gag": 1, "nude": 5, "tongue out": 1, "saliva": '
'1, "arms behind back": 1, "seiza": 1, "bound arms": 1, "on head": 1, '
'"animal on head": 1, "holding hair": 1, "tiara": 1, "crown": 1, "princess": '
'1, "hands on own head": 1, "mirror": 2, "frying pan": 2, "nature": 1, '
'"parted lips": 1, "blue background": 1, "shirt": 1, "choker": 2, "huge '
'breasts": 1, "colored skin": 1, "bursting breasts": 1, "thighhighs": 2, '
'"jewelry": 1, "thighs": 1, "earrings": 1, "pussy": 3, "spread legs": 2, '
'"cum": 1, "high heels": 1, "kneeling": 1, "uncensored": 3, "cum in pussy": '
'1, "phone": 1, "cellphone": 1, "smartphone": 1, "after sex": 1, "holding '
'phone": 1, "cumdrip": 1, "brown thighhighs": 1, "gloves": 1, "multicolored '
'hair": 1, "white gloves": 1, "topless": 1, "pink panties": 1, "fishnet '
'thighhighs": 1, "ass": 1, "feet": 1, "soles": 1, "on stomach": 1, "the '
'pose": 1, "nail polish": 1, "tan": 1, "personification": 1, "tanlines": 1, '
'"detached sleeves": 1, "armpits": 1, "pillow": 1}}, "bucket_info": '
'{"buckets": {"0": {"resolution": [320, 704], "count": 30}, "1": '
'{"resolution": [384, 640], "count": 95}, "2": {"resolution": [448, 576], '
'"count": 50}, "3": {"resolution": [512, 512], "count": 20}, "4": '
'{"resolution": [576, 448], "count": 5}}, "mean_img_ar_error": '
'0.042025975009129204}, "subsets": [{"img_count": 40, "num_repeats": 5, '
'"color_aug": false, "flip_aug": false, "random_crop": false, '
'"shuffle_caption": true, "keep_tokens": 1, "image_dir": "rapunzel", '
'"class_tokens": null, "is_reg": false}]}]'),
('ss_epoch', '10'),
('ss_face_crop_aug_range', 'None'),
('ss_full_fp16', 'False'),
('ss_gradient_accumulation_steps', '1'),
('ss_gradient_checkpointing', 'False'),
('ss_learning_rate', '0.0005'),
('ss_lowram', 'True'),
('ss_lr_scheduler', 'cosine_with_restarts'),
('ss_lr_warmup_steps', '50'),
('ss_max_grad_norm', '1.0'),
('ss_max_token_length', '225'),
('ss_max_train_steps', '1010'),
('ss_min_snr_gamma', '5.0'),
('ss_mixed_precision', 'fp16'),
('ss_multires_noise_discount', '0.3'),
('ss_multires_noise_iterations', 'None'),
('ss_network_alpha', '16'),
('ss_network_dim', '32'),
('ss_network_module', 'networks.lora'),
('ss_new_sd_model_hash',
'b0c91a8a93ab63b8b513046c2e2181a4ce78b83367ee7e26354ba9e018ea102f'),
('ss_noise_offset', 'None'),
('ss_num_batches_per_epoch', '101'),
('ss_num_epochs', '10'),
('ss_num_reg_images', '0'),
('ss_num_train_images', '200'),
('ss_optimizer', 'bitsandbytes.optim.adamw.AdamW8bit'),
('ss_output_name', 'rapunzel'),
('ss_prior_loss_weight', '1.0'),
('ss_sd_model_hash', '66f58dbb'),
('ss_sd_model_name', 'fp16-pruned.ckpt'),
('ss_sd_scripts_commit_hash', 'e6ad3cbc66130fdc3bf9ecd1e0272969b1d613f7'),
('ss_seed', '42'),
('ss_session_id', '1637709685'),
('ss_steps', '1010'),
('ss_tag_frequency',
'{"rapunzel": {"rapunzel 1girl": 40, "solo": 39, "long hair": 37, "smile": '
'26, "blonde hair": 38, "dress": 21, "very long hair": 18, "green eyes": 30, '
'"crossed arms": 3, "corset": 5, "purple dress": 12, "breasts": 13, "open '
'mouth": 7, "medium breasts": 5, "nipples": 7, "swimsuit": 2, "bikini": 1, '
'"tongue": 2, "striped": 1, "lips": 7, "micro bikini": 1, "freckles": 5, '
'"looking at viewer": 10, "long sleeves": 7, "cleavage": 3, "multiple boys": '
'1, "puffy sleeves": 7, "2boys": 1, "full body": 4, "absurdly long hair": 2, '
'"grin": 2, "hand on hip": 3, "juliet sleeves": 1, "blush": 3, "large '
'breasts": 4, "hair ornament": 5, "standing": 2, "flower": 7, "cowboy shot": '
'1, "teeth": 5, "indoors": 1, "hair flower": 5, "one-piece swimsuit": 1, '
'"covered navel": 1, "makeup": 2, "cameltoe": 1, "highleg": 1, "lamp": 1, '
'"braid": 4, "blurry": 2, "arm up": 1, "depth of field": 1, "blurry '
'background": 2, "looking up": 3, "bokeh": 1, "upper body": 4, "short '
'sleeves": 3, "closed eyes": 1, "small breasts": 1, "lying": 3, "signature": '
'1, "on back": 1, "arms up": 2, "eyelashes": 1, "from above": 1, "happy": 1, '
'"grass": 1, "cross-laced clothes": 1, "hair spread out": 1, "sitting": 4, '
'"outdoors": 2, "barefoot": 7, "water": 1, "tree": 2, "pink dress": 1, '
'"holding flower": 1, "lily pad": 1, "simple background": 5, "white '
'background": 3, "frog": 4, "black background": 2, "child": 1, "star print": '
'1, "lantern": 1, "blue eyes": 2, "navel": 5, "underwear": 2, "panties": 2, '
'"thigh gap": 1, "bound": 2, "bdsm": 2, "bondage": 2, "gag": 1, "gagged": 1, '
'"improvised gag": 1, "cloth gag": 1, "nude": 5, "tongue out": 1, "saliva": '
'1, "arms behind back": 1, "seiza": 1, "bound arms": 1, "on head": 1, '
'"animal on head": 1, "holding hair": 1, "tiara": 1, "crown": 1, "princess": '
'1, "hands on own head": 1, "mirror": 2, "frying pan": 2, "nature": 1, '
'"parted lips": 1, "blue background": 1, "shirt": 1, "choker": 2, "huge '
'breasts": 1, "colored skin": 1, "bursting breasts": 1, "thighhighs": 2, '
'"jewelry": 1, "thighs": 1, "earrings": 1, "pussy": 3, "spread legs": 2, '
'"cum": 1, "high heels": 1, "kneeling": 1, "uncensored": 3, "cum in pussy": '
'1, "phone": 1, "cellphone": 1, "smartphone": 1, "after sex": 1, "holding '
'phone": 1, "cumdrip": 1, "brown thighhighs": 1, "gloves": 1, "multicolored '
'hair": 1, "white gloves": 1, "topless": 1, "pink panties": 1, "fishnet '
'thighhighs": 1, "ass": 1, "feet": 1, "soles": 1, "on stomach": 1, "the '
'pose": 1, "nail polish": 1, "tan": 1, "personification": 1, "tanlines": 1, '
'"detached sleeves": 1, "armpits": 1, "pillow": 1}}'),
('ss_text_encoder_lr', '0.0001'),
('ss_training_comment', 'None'),
('ss_training_finished_at', '1694906008.5775223'),
('ss_training_started_at', '1694905352.3001792'),
('ss_unet_lr', '0.0005'),
('ss_v2', 'False'),
('sshs_legacy_hash', 'fd5d0c6f'),
('sshs_model_hash',
'0f9a9c96e707b34f1591ed9d24e788769cb72e2040f380aa7c31b6a49ca783b2')]
有数据就比较直观，不然这篇博文，就显得干巴巴的。
也算为业界做了一点点贡献。
提一个额外的话题，
由于diffusers和stable-diffusion-webui的实现十分臃肿，
并且屎山越来越大，非常不便于研发以及学习。
为了远离那堆玩意，博主化身屎壳郎，花了不少精力对stable diffusion进行了整理和重写。
开源了sd 1.5和 sdxl 1.0 两个仓库，主要以keras/TensorFlow为主，兼容pytroch的模型权重。
项目地址为:
sd1.5:
https://github.com/cpuimage/minSDTF
sdxl 1.0：
https://github.com/cpuimage/minSDXLTF
目前有空会持续更新，目标是把webui的主要功能以比较简洁优雅的方式实现，路漫漫其修远兮。
如果有小伙伴有能力也想加入，欢迎联系博主，一起摇摆。
也有业内好友期望博主写一份keras/tensorflow版本的lora训练框架，只能说有时间的话，会写的。
最后唠叨几句，kohya_ss训练框架的作者，其代码好几个地方逻辑写错了，小伙伴们要注意了。
最后的最后，
有stable diffusion相关的训练或者开发定制，不论是需求还是各种问题都可以通过以下方式联系博主，
微信: Dbgmonks
QQ: 200759103
邮箱: gaozhihan@vip.qq.com
注: 博主提供有偿服务, 不注明来意者一律拒绝。