Type | |
Stats | 5,569 |
Reviews | (424) |
Published | Jun 9, 2023 |
Base Model | |
Training | Steps: 4,500 Epochs: 5 |
Trigger Words | Beldel brown hair pink hair blonde hair smiling soft smiling makeup breasts full body nude +2 more |
Hash | AutoV2 71C7D762DF |
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Belle Delphine (Face & Body LoRA) - the infamous e-girl. This LoRA includes Belle Delphine's face AND body. Use the trigger words to get the desired result. Infinite Belle pics await you.
NSFW Previews: https://jpg.pet/aihotgirls
Read Me!
TWO VERSIONS:
Belle Delphine RHM v1: Trained on Real Hot Mix, my own mix. I use this LoRA for extremely high quality photorealistic results
For txt2img & img2img: LoRA weight between 0.9-1 for best results
Belle Delphine SD1.5 v1: Trained on SD 1.5 base model, compatible with all models
For txt2img & img2img: LoRA weight between 0.5-1 depending on checkpoint model for best results (lower for anime/non-photorealistic models)
Recommended Settings
Hires fix: 0.2-0.3 for face, 0.2-0.4 for full body
Face is best at 1:1 resolution (make sure inpainting is 1:1 resolution)
Other resolutions work as well (see Training Info: resolution sizing for training dataset aspect ratio info)
'makeup' is a trigger word. Put it in negative and use 'brown hair' to get Belle with no makeup
This LoRA is NSFW skewed. Use 'clothes' in positive and '(nude:1.5), (breasts:1.5)' in negative if you want SFW pics
SOMETIMES:
If generating on not 1:1 aspect, her face may become slightly elongated. Maybe 1 in 5 images
'pink hair' occasionally makes humongous hair. Not sure why this happens. I use 'huge hair, long hair' in negative if that seems to be happening with my prompt
Training Info
5 epochs, 25 repeats, 36 images
21 brown hair, 10 pink hair, 5 blonde hair pics (if unspecified, brown hair will usually default)
22 face, 14 full body pics
For resolution sizing, enable buckets = true (25 = 1 image)
bucket 0: resolution (384, 640), count: 25
bucket 1: resolution (384, 704), count: 75
bucket 2: resolution (448, 576), count: 100
bucket 3: resolution (448, 640), count: 25
bucket 4: resolution (448, 704), count: 100
bucket 5: resolution (512, 576), count: 25
bucket 6: resolution (512, 640), count: 75
bucket 7: resolution (576, 576), count: 450
bucket 8: resolution (640, 448), count: 25
Background
I've been experimenting with LoRA training and seem to have found a sweet spot for epic photoreal accuracy for people. I didn't realize there were already so many Belle LoRAs while making this, but wanted to share anyway. I believe this one is the BEST one on Civit.