Re-Finetune: Realistic Vision XL (Training & Inference)

I Need help Fine-tuning: Realistic vision xl

>>On training
Student model: (realistic vision XL)

Teacher models:
1.SDXL
2.Deep foiled stage
3.DreamShaper XL

#ControlNet – OpenPose (with hand):
-Essential - provides finger joints and structure

#Textual Inversion (TI):
-Use it to encode specific hand gestures - useful but needs good tokens

#HyperDreamBooth (with hand-pose data):
-Custom LoRA-level fine-tuning can hard-train hand pose behavior




>>During Inference / Generation (identity guidance):

1.IP-Adapter (Injects identity from reference image)
2.InstantID (Best-in-class identity control from a single photo)
3.PhotoMaker (One-image-to-multi-pose identity generator)

4.Face identity lock
(InstantID + InsightFace Loss + IP-Adapter)
5.Pose consistency
(ControlNet + DensePose)
6.Body shape control
(SMPL/DensePose + Body-aware LoRA)
7.Modular style blending
(LoRA Fusion + LayerSwap)

8.Perceptual face match
(InsightFace embedding loss)
9.Real-time editing
(ReActor / CodeFormer / GFPGAN)
10.Use Textual Inversion token: "photo of <maya>"