Description
This LoRA trained using kohya_ss on 60 images 1024×1024 up to 6360 steps without captions and with regularisation images.
Source model: ‘Source model: PonyDiffusionV6XL,’ so this LoRA should works well with most of Pony family checkpoints.
learning rate: 0.00003.
Precision: fp16.
LR Scheduler: constant_with_warmup.
LR warmup: 30%.
Preview image generation data:
Positive Prompt: score_9, score_8_up, score_7_up, score_6_up, score_5_up, score_4_up, masterpiece, best quality, perfect anatomy, very aesthetic, a beautiful AIDA_PXLR_LG2022 with long messy hair, girl, black background, portrait, young woman, beauty, makeup, hair, fashion, cute, self-assurance, portrait photography, studio, 1girl, solo, long_hair, looking_at_viewer, brown_hair, ash_hair, lips, eyelashes, portrait, black_background, realistic, nose, 18 years old, silver necklace
Negative prompt: score_6, score_5, score_4, blurry, backlight, braids, headband, jewelry, text, full body, source_anime, hands, fingers, arms, source_furry, too long legs, chubby, fat, huge breasts, source_pony, source_cartoon, lowres, bad_anatomy, bad_hands, deformed anatomy, worst_quality, low_quality, normal_quality, jpeg_artifacts, signature, watermark, monochrome, very displeasing
Steps: 32,
Sampler: Euler a,
Schedule type: Uniform,
CFG scale: 5,
Seed: 2054799717,
Size: 1200×1200,
Model hash: 653cf3eadd, Model: cyberrealisticPony_v63,
VAE hash: 235745af8d, VAE: sdxl_vae.safetensors,
Clip skip: 2,
Lora hashes: “AIDA_PXLR_LG2022: 1f6b6204f5f5”.
Download link to AIDA_PXLR_LG2022.safetensors will be available for you after purchase. For your comfort I packed AIDA_PXLR_LG2022.safetensors into .zip archive with AIDA_PXLR_LG2022.png and AIDA_PXLR_LG2022.txt, preview and description are compatible with AUTOMATIC1111 extra networks menu.
Please pay at least 1$ If you want to achieve rights for selling images generated with AIDA_PXLR_LG2022.safetensors. Also this way you can say me special thanks for this embedding.
Please contact me if you need some extended rights for sharing or selling AIDA_PXLR_LG2022.safetensors, merging AIDA_PXLR_LG2022.safetensors with other embedding, using AIDA_PXLR_LG2022.safetensors in generation services and so on.
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