Lora trained on Princess Daisy from Mario.
Crown is definitely random in the gem stone aspect can be called using crown.
Gem on dress is sporadic at best and will gen like 2 or 3 or 4 lmao.
Trained on NAI, gen'd on AOM2 nsfw
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Description
FAQ
Comments (5)
Where did you get those cosplay lora?
Its just a prompt for em, just demonstrating her dress isnt baked onto her
Nice to meet you.
I was surprised at how beautifully you have learned.
I have recently been trying to learn lora myself, but it is not going well at all.
So I would like to ask you about the dataset you used for this lora and what kind of settings you used to train it, is it possible?
I do things really basic especially for this lora with its huge dataset.
I just push buttons from my pov.
1179 images pruned character traits ie eye color hair color etc.
Basically dim 8, 1 repeat, 30 epochs, just pick whichever comes out best.
Aim for 300-600+ images depends on what u want to make.
If u cant get 300-600 just increase repeats then to get close to it.
Styles are different and normally can just be ran as is w/o pruning and 1 repeat.
https://github.com/derrian-distro/LoRA_Easy_Training_Scripts/releases/tag/installers-v5
Bunch of default settings:
"caption_dropout_rate": null,
"caption_dropout_every_n_epochs": null,
"caption_tag_dropout_rate": null,
"net_dim": 8,
"alpha": 4.0,
"scheduler": "cosine_with_restarts",
"cosine_restarts": 1,
"scheduler_power": 1,
"warmup_lr_ratio": null,
"learning_rate": 0.0001,
"text_encoder_lr": null,
"unet_lr": null,
"num_workers": 1,
"persistent_workers": true,
"batch_size": 2,
"num_epochs": 40,
"save_at_n_epochs": 1,
"shuffle_captions": false,
"keep_tokens": null,
"max_steps": null,
"tag_occurrence_txt_file": false,
"train_resolution": 512,
"min_bucket_resolution": 320,
"max_bucket_resolution": 960,
"lora_model_for_resume": null,
"save_state": false,
"load_previous_save_state": null,
"training_comment": null,
"unet_only": false,
"text_only": false,
"reg_img_folder": null,
"clip_skip": 2,
"test_seed": 23,
"prior_loss_weight": 1,
"gradient_checkpointing": false,
"gradient_acc_steps": null,
"mixed_precision": "fp16",
"save_precision": "fp16",
"save_as": "safetensors",
"caption_extension": ".txt",
"max_clip_token_length": 150,
"buckets": true,
"xformers": true,
"use_8bit_adam": true,
"cache_latents": true,
"color_aug": false,
"flip_aug": false,
"vae": null,
"no_meta": false,
"log_dir": null,
"v2": false,
"v_parameterization": false
@Numeratic very very very very very thank you!!!!!!!!!!!
Details
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Same model published on other platforms. May have additional downloads or version variants.