RETOUCHING/AI
WHAT CAN I HELP YOU edit or create TODAY?
Beauty/PRODUCT retouching
I specialize in beauty retouching with extra attention to detail. I will work with dodging & burning and all that good stuff you want to make your images look high-end and polished (no presets, no cutting corners). I also have years of experience in editing product photography and compositing.
              
            AI-GENERATION
New to the AI world but making strides and always learning new things. I can generate commercially usable images for multiple purposes and I have experience applying these skills in projects with real clients. AI generation with the eye of a Photographer with 10+ years of experience in the field.
              
            AI + PHOTOGRAPHY MERGING & COMPOSITING
AI images usually need a little bit of polishing after generation, I have ample experience compositing real photography and AI-generations to make them look seamless and I can re-generate botched details.
LET ME SHOW YOU WHAT I CAN DO FOR YOU
click to view images full-screen
RETOUCH PORTFOLIO
AI IMPLEMENTATION PORTFOLIO
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AI generation
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    AI Pitch for L’Oreal - La Roche Posay
The goal was to take ordinary studio shots that the team snuck in during a video shoot and create luxurious and premium compositions to present the product without having to invest in a whole photoshoot for each.
The images were generated with Stable Diffusion with some extra generations done in Photoshop Gen-Fill and final blending done manually in Photoshop.
final blend
AI generation
image provided by client
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AI generation
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AI generation
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AI generation
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    AI Pitch for VIVO
The goal was to take ordinary product shots and create new luxurious and premium variations in composition to present the product without having to invest in a whole photoshoot for each.
The images were generated with Stable Diffusion with some extra generations done in Photoshop Gen-Fill and final blending done manually in Photoshop.
AI Pitch for Action (Netherlands)
The goal was to generate backgrounds for the Austrian, Dutch, and Spanish market, from the same source images, but giving them a more “lifestyle” look rather than a studio or e-commerce feel.
The images were generated with Stable Diffusion with some extra generations done in Photoshop Gen-Fill and final blending done manually in Photoshop.
AI Generations for COPEC (Chilean Petrol Company)
I was tasked with generating two Chilean characters who meet in the early 1930s, fall in love in the 1940s, get married, and age together while growing a huge family.
Requests were to keep character and style consistency. Images needed to look like they were of the era they were supposed to be shot at, with people belonging to the right ethnicities, and have them age corresponding to the time period generated.
The images were generated with a mix of Stable Diffusion + Leonardo.Ai + Photoshop
Some of the resulting images were animated in Runway and others were kept as stills and placed into a slideshow which played on massive screens behind a speaker in the Hilton Hotel in Buenos Aires in August of 2024.
It’s a long story, but even though they are fictional characters created by AI, after all the work put into this project, I feel like I know them and am a bit attached to them. I hope you enjoy their “love story”.
Our main Male character, let's call him Alfredo
Our main Female character, let's call her Margarita
They meet at the University
They start dating
They start falling in love
They get married!
They go through some rough times at the beginning
Alfredo worked hard to provide for the family
The family starts growing
They have 6 children, a big family!
Money starts running thin and tough times await
Alfredo and Margarita start arguing regularly
they even argue in front of their children
Communication breaks down between the couple
Alfredo grows distant from his children
His daughters resent him
Both parents fail to recognize one of his sons is being bullied and has no friends
Suddenly, a great tragedy befalls the family
One of their young daughters falls gravely ill
Alfredo and Margarita go through it together and it brings them closer
Things start looking up in the household
The family is back to enjoying dinners together and the table is full
The children grow into teenagers
A trip to the Andes finally bonds the family strongly
The children start dating their own significant others
And they start growing their own families
Alfredo starts enjoying his role as a grandpa
And so does Margarita
Their children start getting their own places and living their own lives
Margarita and Alfredo happily embrace their role of advice givers for their children, grand children and great grand children
The family keeps growing
After so many years together, the family has now almost 100 members
Forever together
        
        
      
          
        
        
      
          
        
        
      
          
        
        
      
          
        
        
      
          
        
        
      
          
        
        
      
          
        
        
      
          
        
        
      
          
        
        
      
          
        
        
      
          
        
        
      
          
        
        
      
          
        
        
      
          
        
        
      
          
        
        
      
          
        
        
      
          
        
        
      
          
        
        
      
          
        
        
      
          
        
        
      
          
        
        
      
          
        
        
      
          
        
        
      
          
        
        
      
          
        
        
      
          
        
        
      
          
        
        
      
          
        
        
      
          
        
        
      
          
        
        
      
          
        
        
      
          
        
        
      
          
        
        
      
          
        
        
      
          
        
        
      
          
        
        
      
          
        
        
      
          
        
        
      
          
        
        
      
          
        
        
      
          
        
        
      
          
        
        
      
          
        
        
      
          
        
        
      
          
        
        
      
          
        
        
      
          
        
        
      
          
        
        
      
          FACE SWAPPING WITH AI
Another interesting thing we can do with AI is swapping faces on generations. I ran extensive tests on this tool on my own face.
The process starts by gathering a comprehensive enough dataset of a person’s face. In my case, I gathered selfies, and some professionally shot portraits, from as many angles as possible so that the AI would “get to know me”, and remember and understand my face. I used 50 photos for the data set. It works with fewer but more images is more info for the AI in this case. I normally wear lipstick so this made so many generations come out with makeup on, this was an interesting find.
In the end, I was able to produce“photoshoots” by world-renowned photographers and artists from the past, in dream-like locations, wearing couture or fantasy wardrobe. Anything I asked for.
It’s a fun tool and I can see many exciting uses for it in the future.
Images were created on Stable Diffusion + background extension, retouching, and extra compositing/cleanup were done manually in Photoshop.
Some of the images of my face I provided Stable Diffusion to learn and get to know my face. This is ME
Generations with face swapping. This is not (?) ME… technically
Shot by "Miles Aldridge"
Shot by "Miles Aldridge"
Shot by "Miles Aldridge"
Shot by "Miles Aldridge"
Shot by "Miles Aldridge"
Shot by "Miles Aldridge"
Shot by "Tim Walker"
Shot by "Tim Walker"
Shot by "Tim Walker"
Shot by "Tim Walker"
Shot by "Tim Walker"
Shot by "Tim Walker"
Shot by "Tim Walker"
Shot by "Eugenio Recuenco"
Shot by "Eugenio Recuenco"
Shot by "Eugenio Recuenco"
Shot by "Erwin Olaf"
Shot by "Erwin Olaf"
Shot by "Erwin Olaf"
Shot by "Erwin Olaf"
Shot by "David LaChapelle"
Shot by "David LaChapelle"
Shot by "David LaChapelle"
Shot by "David LaChapelle"
Shot by "David LaChapelle"
Shot by "David LaChapelle"
Shot by "Annie Leibovitz"
Shot by "Annie Leibovitz"
Shot by "Annie Leibovitz"
Shot by "Annie Leibovitz"
Shot by "Annie Leibovitz"
Shot by "Annie Leibovitz"
Shot by "Annie Leibovitz"
Shot by "Annie Leibovitz"
Shot by "Annie Leibovitz"
Shot by "Annie Leibovitz"
Shot by "Annie Leibovitz"
Shot by "Annie Leibovitz"
Shot by "Annie Leibovitz"
Shot by "Peter Lindbergh"
Shot by "Peter Lindbergh"
Shot by "Peter Lindbergh"
Shot by "Peter Lindbergh"
Shot by "Peter Lindbergh"
Shot by "Peter Lindbergh"
Shot by "Peter Lindbergh"
Shot by "Greg Girard"
Shot by "Greg Girard"
Shot by "Greg Girard"
Shot by "Greg Girard"
Shot by "Nan Goldin"
Shot by "Nan Goldin"
Shot by "Nan Goldin"
Shot by "Nan Goldin"
Shot by "Steven Meisel"
Shot by "Steven Meisel"
Shot by "Steven Meisel"
Shot by "Steven Meisel"
Shot by "Steven Klein"
Shot by "Steven Klein"
Shot by "Steven Klein"
Shot by "Steven Klein"
Shot by "Steven Klein"
Shot by "Patrick Demarchelier"
Shot by "Patrick Demarchelier"
Shot by "Patrick Demarchelier"
Shot by "Patrick Demarchelier"
Shot by "Patrick Demarchelier"
Shot by "Patrick Demarchelier"
Shot by "Patrick Demarchelier"
Shot by "Bella Kotak"
Shot by "Nick Brandt"
Shot by "Sergey Prokudin-Gorsky"
Shot by "Sergey Prokudin-Gorsky"
Shot by "Sergey Prokudin-Gorsky"
Shot by "Ernst Haas"
Shot by "Ernst Haas"
Shot by "Alex Prager"
Shot by "Alex Prager"
Shot by "Alex Prager"
Shot by "Alex Prager"
Shot by "Alex Prager"
Shot by "Alex Prager"
Shot by "Alex Prager"
Shot by "Alex Prager"
Shot by "Wes Anderson"
Shot by "Wes Anderson"
Shot by "Wes Anderson"
Shot by "Wes Anderson"
Shot by "Wes Anderson"
Shot by "Wes Anderson"
Shot by "Greg Colbert"
Shot by "Greg Colbert"
Shot by "Greg Colbert"
Shot by "Greg Colbert"
Shot by "Greg Colbert"
Shot by "Ryan McGingley"
Shot by "Ryan McGingley"
Shot by "Ryan McGingley"
Shot by "Ryan McGingley"
Shot by "Ryan McGingley"
Shot by "Ryan McGingley"
Shot by "Ryan McGingley"
Shot by "Ryan McGingley"
Shot by "Ryan McGingley"
Shot by "Roger Fenton"
Shot by "Roger Fenton"
Shot by "Roger Fenton"
Shot by "Roger Fenton"
Shot by "Roger Fenton"
Shot by "Milton H Greene"
Shot by "Milton H Greene"
Shot by "Milton H Greene"
Shot by "Milton H Greene"
Shot by "Milton H Greene"
Shot by "Milton H Greene"
Shot by "Milton H Greene"
Shot by "Milton H Greene"
Shot by "Milton H Greene"