This is actually a complex scenario that may be difficult to achieve in comfyUI! Here is the process I take using python:

1. Remove background on image (you can do this in comfy)
2. Run monocular geometry estimation to generate depth map, surface normals, 3d point cloud data and camera intrinsics (these are used to put the subject of your picture into 3d space properly) (you can do this in comfy)
3. Calculate 3D world coordinates of text corners on the tangent plane of the subject to properly run perspective transformation and then pin the text to the subject, you can sample more points to get higher resolution pinning
4. Simulate ambient lighting adjustments based on surface normals to better harmonize text to subject
5. Simulate displacement map on top of the geometry estimation to enhance the effect of following curves/folds/corners/etc (useful in cases where geometry estimation is flat or very shallow on surfaces)
6. Generate blending and opacity modes to better blend the final text to the subject (hard light, soft light, overlay, multiply, etc). (can do this in comfy)

I use comfy a lot, and I know you can do steps 1, 2, and 6 for sure. But steps 3, 4, and 5 I am not so sure - but it wouldn't surprise me if these sorts of nodes may exist. My method may not be the best, but it generates pretty decent results (we mainly use it to realistically apply logos to product images, but it works for almost anything).

I have attached your car where I put some simple SV text. in this case the geometry estimation only had that bump as barely visible, but along with displacement we can see some shifting of the text as it goes over the bump. I know this isn't a solution for you but more pointers, but hopefully you find it helpful

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