



Workflow Name: Stone Plastic Clay Figurine
【Workflow Introduction】
This workflow is divided into three parts.
The first part utilizes the SDXL model and LoRA model, combined with ControlNet for control, to generate a base image.
The second part extracts the face from the generated image for redrawing and optimization.
The third part uses the FLUX model for image-to-image operations, combined with FLUX Pulid for facial transfer.
【Usage Scenarios】
The effect of this workflow is very stable. Whether you provide a real-life photo or a two-dimensional animation character image, it can achieve the stone plastic clay figurine effect perfectly. Give it a try!
【Key Nodes】
SDXL
【Model Version】
SDXL
Model Name: PVCStyleModelMovable_pony161A.safetensors
FLUX
Model Name: flux1 dev Q8_0.gguf
【LoRA Model】
Model Name: F.1_PVC_Figurine_V2.safetensors
【ControlNet Application】
CN anytest_v4 marged.safetensors
Start Time: 0
End Time: 0.900
Strength: 0.95
【K Sampler】
CFG: 1.0
Sampling Method: euler_ancestral
Scheduler: sgm uniform
Denoising: 0.53
Workflow Name: Stone Plastic Clay Figurine
【Workflow Introduction】
This workflow is divided into three parts.
The first part utilizes the SDXL model and LoRA model, combined with ControlNet for control, to generate a base image.
The second part extracts the face from the generated image for redrawing and optimization.
The third part uses the FLUX model for image-to-image operations, combined with FLUX Pulid for facial transfer.
【Usage Scenarios】
The effect of this workflow is very stable. Whether you provide a real-life photo or a two-dimensional animation character image, it can achieve the stone plastic clay figurine effect perfectly. Give it a try!
【Key Nodes】
SDXL
【Model Version】
SDXL
Model Name: PVCStyleModelMovable_pony161A.safetensors
FLUX
Model Name: flux1 dev Q8_0.gguf
【LoRA Model】
Model Name: F.1_PVC_Figurine_V2.safetensors
【ControlNet Application】
CN anytest_v4 marged.safetensors
Start Time: 0
End Time: 0.900
Strength: 0.95
【K Sampler】
CFG: 1.0
Sampling Method: euler_ancestral
Scheduler: sgm uniform
Denoising: 0.53