The Z-Image Turbo model struggles significantly with following camera angle prompts, correctly interpreting only 4 out of 12 in a test. Many generated images appear identical regardless of the prompt. Users need better control and accuracy for camera angles in AI image generation.
Like other people here, I have been struggling to get Z-Image Turbo (ZIT) to follow my camera angle prompts, so I ran a small experiment against FLUX.1 Krea (the model that I had been using the most before) to measure whether ZIT is actually worse, or was it just my imagination. As you can see from the table below and the images, both models kinda suck, but ZIT is definitely worse; it could only get 4 out of 12 prompts right, while FLUX.1 Krea got 8. Not only that, but half of all ZIT images look almost completely identical, regardless of the prompt. What has been your experience so far? | Camera angle | FLUX.1 Krea | Z-Image Turbo | | --- | --- | --- | | Full-body | π« | π« | | High-angle | β | β | | Low-angle | β | β | | Medium close-up | β | π« | | Rear view | β | π« | | Side profile | β | β | | Three-quarter view | β | β | | Wormβs-eye | π« | π« | | Dutch angle | π« | π« | | Birdβs eye | β | π« | | Close-up portrait | β | π« | | Diagonal angle | π« | π« | | **Total** | **8** | **4** |