📢 로그인 문제 해결 안내 — 오늘 일부 사용자에게 PixAI 계정이 예기치 않게 로그아웃되는 현상이 발생했습니다. 해당 문제는 서버 측 오류로 확인되었으며, 현재는 정상적으로 해결되었습니다. 로그아웃된 경우 앱 또는 브라우저를 다시 실행한 뒤…

자세히 보기

사용자 LoRA

XL

Color Contrast

Color Contrast - AI Model 커버 이미지
업로드 날짜
2025. 7. 14. 오후 7:48
이용수
1.0k
리뷰
리뷰 없음
트리거 단어

clrcon, clrcon_red, clrcon_green, clrcon_blue, clrcon_yellow, clrcon_orange, clrcon_purple, clrcon_pink, clrcon_bw, clrcon_soft

권한
  • 이미지 생성 및 공유 허용
  • 다른 사용자가 내 모델을 다운로드하도록 허용합니다
  • 생성된 이미지의 상업적 이용 허용

추천 LoRA

설명

Create striking, visually appealing images that emphasize contrasting colors. Pick one, two, or three of your favorite colors and let this LoRA mix them together in an eye-catching design.I recommend playing around a bit with it, as there's a lot of variety in the images it can create, but you have to mix things up to get its full potential. Occasionally it might emphasize one color to the exclusion of another, in which case you might want to try different resolutions, different tag orders, or pairing up the color tags with different objects in the image, e.g. instead of "clrcon_green, 1girl, medium hair," try "1girl, clrcon_green hair, medium hair," and so forth.The keyword is "clrcon." There are also keywords for common colors: clrcon_red, clrcon_blue, clrcon_green, clrcon_yellow, clrcon_orange, clrcon_purple, clrcon_pink. There's also a clrcon_soft to emphasize a softer contrast with a secondary color palette, although that might give you mixed results, but it doesn't hurt to play around with it. Finally, there's clrcon_bw, which is specifically for images where black or white are used in creating contrast, either with each other or with another color.The sample images were mostly created using Animij, but it's worked well with all the checkpoints I've tried so far.Just using the clrcon tag by itself will already naturally create appealing contrast, but you can be more specific and it'll happily follow along. Have fun!This model was trained in kohya_ss on a dataset of 435 that I manually labeled myself. Below is the configuration for the training. As always, please let me know if there's anything you're curious about pertaining to the model. { "LoRA_type": "Standard", "LyCORIS_preset": "full", "adaptive_noise_scale": 0, "additional_parameters": "--log_prefix=clrcon", "async_upload": false, "block_alphas": "", "block_dims": "", "block_lr_zero_threshold": "", "bucket_no_upscale": false, "bucket_reso_steps": 32, "bypass_mode": false, "cache_latents": true, "cache_latents_to_disk": true, "caption_dropout_every_n_epochs": 0, "caption_dropout_rate": 0, "caption_extension": ".txt", "clip_skip": 2, "color_aug": false, "constrain": 0, "conv_alpha": 4, "conv_block_alphas": "", "conv_block_dims": "", "conv_dim": 4, "dataset_config": "", "debiased_estimation_loss": false, "decompose_both": false, "dim_from_weights": false, "dora_wd": false, "down_lr_weight": "", "dynamo_backend": "no", "dynamo_mode": "default", "dynamo_use_dynamic": false, "dynamo_use_fullgraph": false, "enable_bucket": true, "epoch": 0, "extra_accelerate_launch_args": "", "factor": -1, "flip_aug": true, "fp8_base": false, "full_bf16": false, "full_fp16": false, "gpu_ids": "", "gradient_accumulation_steps": 1, "gradient_checkpointing": true, "huber_c": 0.1, "huber_schedule": "snr", "huggingface_path_in_repo": "", "huggingface_repo_id": "", "huggingface_repo_type": "", "huggingface_repo_visibility": "", "huggingface_token": "", "ip_noise_gamma": 0, "ip_noise_gamma_random_strength": false, "keep_tokens": 1, "learning_rate": 5e-05, "log_tracker_config": "", "log_tracker_name": "", "log_with": "tensorboard", "logging_dir": "D:/Coding/kohya_ss/logs", "loss_type": "huber", "lr_scheduler": "cosine", "lr_scheduler_args": "", "lr_scheduler_num_cycles": 1, "lr_scheduler_power": 1, "lr_warmup": 0, "main_process_port": 0, "masked_loss": false, "max_bucket_reso": 2048, "max_data_loader_n_workers": 0, "max_grad_norm": 1, "max_resolution": "1024,1024", "max_timestep": 1000, "max_token_length": 75, "max_train_epochs": 40, "max_train_steps": 0, "mem_eff_attn": false, "metadata_author": "restlessboy", "metadata_description": "", "metadata_license": "", "metadata_tags": "clrcon", "metadata_title": "clrcon", "mid_lr_weight": "", "min_bucket_reso": 64, "min_snr_gamma": 0, "min_timestep": 0, "mixed_precision": "fp16", "model_list": "custom", "module_dropout": 0.1, "multi_gpu": false, "multires_noise_discount": 0, "multires_noise_iterations": 0, "network_alpha": 32, "network_dim": 32, "network_dropout": 0.15, "network_weights": "", "noise_offset": 0.0357, "noise_offset_random_strength": false, "noise_offset_type": "Original", "num_cpu_threads_per_process": 2, "num_machines": 1, "num_processes": 1, "optimizer": "AdamW", "optimizer_args": "", "output_dir": "D:/Coding/kohya_ss/outputs/model", "output_name": "clrcon", "persistent_data_loader_workers": false, "pretrained_model_name_or_path": "D:/ai-models/Illustrious-v1", "prior_loss_weight": 1, "random_crop": false, "rank_dropout": 0.1, "rank_dropout_scale": false, "reg_data_dir": "", "rescaled": false, "resume": "", "resume_from_huggingface": "", "sample_every_n_epochs": 1, "sample_every_n_steps": 0, "sample_sampler": "euler_a", "save_every_n_epochs": 10, "save_every_n_steps": 0, "save_last_n_steps": 0, "save_last_n_steps_state": 0, "save_model_as": "safetensors", "save_precision": "fp16", "save_state": false, "save_state_on_train_end": false, "save_state_to_huggingface": false, "scale_v_pred_loss_like_noise_pred": false, "scale_weight_norms": 1, "sdxl": true, "sdxl_cache_text_encoder_outputs": false, "sdxl_no_half_vae": true, "seed": 11, "shuffle_caption": false, "stop_text_encoder_training_pct": 0, "text_encoder_lr": 2.5e-05, "train_batch_size": 2, "train_data_dir": "D:/Coding/kohya_ss/dataset/img", "train_norm": false, "train_on_input": false, "training_comment": "trigger: clrcon", "unet_lr": 5e-05, "unit": 1, "up_lr_weight": "", "use_cp": false, "use_scalar": false, "use_tucker": false, "v2": false, "v_parameterization": false, "v_pred_like_loss": 0, "vae": "", "vae_batch_size": 0, "wandb_api_key": "", "wandb_run_name": "", "weighted_captions": false, "xformers": "xformers" }

댓글

Color Contrast으로 만든 작품