Model description

Base Model: RealvisxlV40_v40Bakedvae.safetensors

Trained with Dim=64 Network=128

LoRA Filename: hathor_nit_anker_Lora_SDXL_dim64x128.safetensors

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The image shows a woman standing in front of a large map. She is wearing a dark green jacket with gold patches on the left side of her chest. The patches have a circular design with a blue and yellow border. The woman has long dark hair and is looking off to the side with a serious expression on her face. Behind her, there are stacks of cardboard boxes and other items scattered on the floor. The map appears to be a detailed map of a city or town. The image is taken from a low angle, looking up at the map. (hathor_nit_anker woman with blonde hair with blonde hairs with blonde eyebrows)
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Base Model: realvisxlV40_v40Bakedvae.safetensors

Clip Skip: 1

Resolution: 
1024x1024 * 180

woman 1342
hathor_nit_anker woman 16

modelspec.date2024-09-11T15:33:59
ss_network_modulenetworks.lora
ss_ip_noise_gamma_random_strengthFalse
ss_enable_bucketTrue
modelspec.architecturestable-diffusion-xl-v1-base/lora
modelspec.timestep_range0,1000
ss_unet_lr5e-05
modelspec.encoder_layer1
ss_gradient_checkpointingTrue
ss_v2False
ss_lr_schedulerconstant
ss_noise_offset_random_strengthFalse
ss_sd_model_hashf7fdcb51
ss_cache_latentsTrue
ss_network_dim64
ss_session_id3966660402
ss_multires_noise_discount0.3
ss_max_token_length225
ss_reg_dataset_dirs{"1_woman": {"n_repeats": 1, "img_count": 1342}}
ss_resolution(1024, 1024)
ss_network_dropout0.2
ss_text_encoder_lr6e-06
ss_huber_schedulesnr
ss_loss_typel2
ss_new_sd_model_hashc942aa3aeba47b53c37b84cda78c352932704ae8463d582bf13b00da70872686
ss_max_train_steps1345
modelspec.sai_model_spec1.0.0
ss_training_comment38 repeats. More info: https://civitai.com/articles/1771 3_hathor_nit_anker woman_Lora_SDXL_dim64x128-state woman 4 epoch 6e-5
ss_fp8_baseFalse
ss_num_train_images144
ss_flip_augFalse
ss_output_namehathor_nit_anker_Lora_SDXL_dim64x128
ss_training_finished_at1726061639.9416182
ss_network_alpha128
ss_max_bucket_reso2048
modelspec.prediction_typeepsilon
ss_debiased_estimationFalse
ss_random_cropFalse
ss_keep_tokens0
ss_num_epochs5
sshs_model_hashf79cf378b22eaf456d639f4ae7bc1977947ace2d94b6d7986982f732629fe60f
ss_caption_tag_dropout_rate0.0
modelspec.resolution1024x1024
ss_face_crop_aug_rangeNone
ss_sd_scripts_commit_hash2889108d858880589d362e06e98eeadf4682476a
ss_total_batch_size1
ss_bucket_info{"buckets": {"0": {"resolution": [896, 1152], "count": 99}, "1": {"resolution": [1024, 1024], "count": 180}, "2": {"resolution": [1344, 768], "count": 9}}, "mean_img_ar_error": 0.0009117969644223123}
ss_num_reg_images1342
ss_zero_terminal_snrFalse
ss_min_snr_gamma5
ss_scale_weight_normsNone
sshs_legacy_hash71e11c49
ss_multires_noise_iterationsNone
ss_color_augFalse
ss_training_started_at1726060587.4040005
ss_epoch5
ss_dataset_dirs{"9_hathor_nit_anker woman": {"n_repeats": 9, "img_count": 16}}
ss_adaptive_noise_scaleNone
modelspec.implementationhttps://github.com/Stability-AI/generative-models
modelspec.descriptionTrained with dim=64 network=128
ss_lr_warmup_steps0
ss_tag_frequency{"9_hathor_nit_anker woman": {"hathor_nit_anker woman": 16}, "1_woman": {"woman": 1342}}
ss_max_grad_norm1
ss_prior_loss_weight1
modelspec.titleHathor Nit Anker SDXL LoRA Model v3
modelspec.licenseCreativeML OpenRAIL-M
ss_seed42
ss_caption_dropout_every_n_epochs0
ss_ip_noise_gammaNone
ss_bucket_no_upscaleFalse
modelspec.authorobann001
ss_shuffle_captionFalse
modelspec.tagstext-to-image,stable-diffusion,lora,diffusers,sdxl,kohya_ss
ss_num_batches_per_epoch288
ss_gradient_accumulation_steps1
ss_lowramFalse
ss_clip_skip1
ss_mixed_precisionbf16
ss_caption_dropout_rate0.05
ss_sd_model_namerealvisxlV40_v40Bakedvae.safetensors
ss_huber_c0.1
ss_steps288
ss_batch_size_per_device1
ss_min_bucket_reso768
ss_noise_offsetNone
ss_learning_rate2e-06
ss_base_model_versionsdxl_base_v1-0
ss_optimizertorch.optim.adamw.AdamW
ss_full_fp16False
ss_fp8_base_unetFalse
pysssss.sha256731ab6ff46e19a3ff3b2836ce0a9d0942baaad3c6eade51b1198f461aaf6cf4d

Trigger words

You should use hathor_nit_anker woman to trigger the image generation.

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