The way we create digital images is always changing, and machine learning is now making big changes in how things are done. Let’s see what this means for our work.
Often, getting a picture just right takes the most time – especially when striving for realism, where subtle details demand the majority of effort. ML workflows can speeds up that last step to create polished visuals quickly, but remember: automation isn’t a shortcut to artistry. It’s about efficiently refining details with your creative vision guiding the way.
While computers can create images from descriptions, starting with an existing image often provides more control. These tools aren’t mind-readers; they require clear direction. It’s a balance – using automation to enhance your creative freedom, not limit it.
Sometimes projects need designs that computers can’t easily make, either because they are still being developed or contain confidential information. Unique elements can be injected or suggested, even if the computer hasn’t “learned” what they look like, allowing for confidential visuals. This underlines the importance of keeping creative control in-house.
Maintaining control over these sensitive assets, unique designs, or confidential work is crucial. That’s why prioritizing software where you have full command of the environment offers significant benefits. Unlike programs tied to constantly updating services, this approach provides stability and predictability. It ensures consistent results and allows for creative freedom.
As the field changes, let’s continue finding ways to shape its future together, prioritizing purpose and artistic intent over simple efficiency to allow more time for creative work. Ultimately, it’s about ensuring technology serves our vision, letting us tell better stories and create visuals with personality, rather than simply relying on what a computer can generate automatically.