Here's your image upscaled 4x and with a fixed face
The hands and panties normally would be fixed via inpainting before upscaling, but that’s not what this is about.
This was done in a single img2img generation using a few extensions: ADetailer, Multidiffusion Upscaler, and ControlNet. I left the prompt and negative prompt blank, relying on ControlNet Inpaint to keep the image consistent. Multidiffusion (with support from ControlNet Tile) did the upscaling, and I pasted your prompt into ADetailer to fix the face.
Image metadata
Steps: 20, Sampler: Euler, CFG scale: 7, Seed: 2809846013, Size: 2048x2048, Model hash: 0c874641a9, Model: myneFactoryAscendance_v20, Denoising strength: 0.5, ADetailer model: face_yolov8n.pt, ADetailer prompt: "extremely detailed CG, high resolution, beautiful detailed eyes, Corinna, (french braid:1.2), adorable, standing, looking back over her shoulder, cheerful, smile, thin legs, sheer nightgown", ADetailer negative prompt: "3d, 3d render, painting, digital painting, sepia, black & white, easynegative, verybadimagenegative, (worst quality:2), (low quality:2), (normal quality:2), lowres, normal quality, ((monochrome)), ((grayscale)), (ugly:1.33), bad face, spot, (poorly eyes:1.2)", ADetailer confidence: 0.3, ADetailer dilate/erode: 32, ADetailer mask blur: 4, ADetailer denoising strength: 0.4, ADetailer inpaint only masked: True, ADetailer inpaint padding: 32, ADetailer use inpaint width/height: True, ADetailer inpaint width: 512, ADetailer inpaint height: 512, ADetailer version: 23.7.5, Tiled Diffusion upscaler: 4x-UltraSharp, Tiled Diffusion scale factor: 4, Tiled Diffusion: {"Method": "MultiDiffusion", "Tile tile width": 96, "Tile tile height": 96, "Tile Overlap": 8, "Tile batch size": 4, "Upscaler": "4x-UltraSharp", "Upscale factor": 4, "Keep input size": true, "NoiseInv": true, "NoiseInv Steps": 10, "NoiseInv Retouch": 1, "NoiseInv Renoise strength": 1, "NoiseInv Kernel size": 64}, ControlNet 0: "preprocessor: inpaint_global_harmonious, model: controlnet11Models_inpaint [be8bc0ed], weight: 1, starting/ending: (0, 1), resize mode: Crop and Resize, pixel perfect: True, control mode: ControlNet is more important, preprocessor params: (512, 64, 64)", ControlNet 1: "preprocessor: tile_resample, model: controlnet11Models_tileE [e47b23a8], weight: 1, starting/ending: (0, 1), resize mode: Crop and Resize, pixel perfect: True, control mode: Balanced, preprocessor params: (512, 1, 64)", Version: v1.4.0
Thanks! I used C3, from Civitai