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Colouring picture to Ai final image
Colouring picture to Photoshop to AI
Created in Photoshop CS6 (Not Ai)
Thomas
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Hunting fox
This is the last ai image for now.
This is where ai image creation went wrong.
The image almost matches what was asked for. The prompt was for natural rim lighting on the subject. In the image render the light comes from the wrong angle to create rim lighting. Where it went really wrong is when it added the locked image plan to the image. I have as not been able to find out what prompted this. There are other inconsistencies here but I will leave you to decide what these are.
The main issue I have found so far is drift. The final render often drifts away from what is planned no matter how rigidly you lock constraints.
I believe that a lot of this is caused by the nature of the how ai produces image input.
Ai is designed to produce impactful globally perfect images. For fantasy images this is not so much of a problem.
If you try to create images from a wildlife photographers perspective the ai starts to hit limits/boundaries and struggle with certain concepts. High on this list is: dof, motion blur. keeping within set boundaries and constraints.
Even with rigid constraints set, the ai has a tendency to render images before you have finished planning. Not good when you are working within a set number of image generations in your account.
The answer I was given for this is that the ai is designed to push out images, it misinterperates when to render. It will push to render when it believes it has enough information to do so even if the planning of the image is incomplete.
A strong photograph works because it isn't perfect. the eye sees what is in the photo but the subconscious picks up on the inconsistencies. That is the real world feeling you get from a photograph. AI tries to give perfect images. They tend towards high clarity over sharp main subjects. inconsistent depth of field, Motion blur is a big one here. Ai motion blur can very quickly look more like image artifacts than blur. Main subjects can end up not matching the scene giving them the "added in Photoshop" feeling. With the wildlife images, ai pushes towards impact rather than natural. The fox above is a good example of this. In true wildlife photography the subject is often partially obscured by foreground items. Ai will aggressively remove planned foreground obstructions even when they are planned into the image. This is why they generally feel wrong.
I have only worked with one ai model so far. Other ai models may have different strengths and weaknesses.
All comments and criticism (negative or positive) encouraged and appreciated on this one.
Thank you for looking and for your kind comments.
This is where ai image creation went wrong.
The image almost matches what was asked for. The prompt was for natural rim lighting on the subject. In the image render the light comes from the wrong angle to create rim lighting. Where it went really wrong is when it added the locked image plan to the image. I have as not been able to find out what prompted this. There are other inconsistencies here but I will leave you to decide what these are.
The main issue I have found so far is drift. The final render often drifts away from what is planned no matter how rigidly you lock constraints.
I believe that a lot of this is caused by the nature of the how ai produces image input.
Ai is designed to produce impactful globally perfect images. For fantasy images this is not so much of a problem.
If you try to create images from a wildlife photographers perspective the ai starts to hit limits/boundaries and struggle with certain concepts. High on this list is: dof, motion blur. keeping within set boundaries and constraints.
Even with rigid constraints set, the ai has a tendency to render images before you have finished planning. Not good when you are working within a set number of image generations in your account.
The answer I was given for this is that the ai is designed to push out images, it misinterperates when to render. It will push to render when it believes it has enough information to do so even if the planning of the image is incomplete.
A strong photograph works because it isn't perfect. the eye sees what is in the photo but the subconscious picks up on the inconsistencies. That is the real world feeling you get from a photograph. AI tries to give perfect images. They tend towards high clarity over sharp main subjects. inconsistent depth of field, Motion blur is a big one here. Ai motion blur can very quickly look more like image artifacts than blur. Main subjects can end up not matching the scene giving them the "added in Photoshop" feeling. With the wildlife images, ai pushes towards impact rather than natural. The fox above is a good example of this. In true wildlife photography the subject is often partially obscured by foreground items. Ai will aggressively remove planned foreground obstructions even when they are planned into the image. This is why they generally feel wrong.
I have only worked with one ai model so far. Other ai models may have different strengths and weaknesses.
All comments and criticism (negative or positive) encouraged and appreciated on this one.
Thank you for looking and for your kind comments.
Dominique 60, Kayleigh have particularly liked this photo
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