AI's Dramatic Style: A Mixed Bag of Success with Titan-g1
- 9 minutes read - 1852 wordsTable of Contents
The dramatic style, often characterized by strong contrasts, dynamic compositions, and evocative lighting, is a powerful tool in visual storytelling. This style is frequently employed in film, photography, and even video games to create impactful and memorable scenes. But how well can AI capture this dramatic essence? In this blog post, we explore the results of an experiment that tested the ability of a generative AI model to create images with a dramatic style. We analyze the model’s performance in terms of camera position, scene elements, and aesthetic appeal, highlighting both its strengths and weaknesses in capturing the essence of dramatic imagery.
Created with: titan-g1
A Moment of Serenity on the Hilltop
A solitary figure stands silhouetted against the setting sun, contemplating the vast landscape below. The warm glow of the evening light creates a sense of peace and tranquility, highlighting the beauty of the moment and the vastness of the world.
Prompt
High-Key Lighting: Hopeful, determined ; A lone hero, silhouetted against the rising sun; Wide shot; Heroism; A vast, desolate landscape; cinematic
Characteristic
Shot : A man in silhouette stands on a cliff overlooking a vast, green valley at sunset.
Aesthetic Score : 0.6
Mood : tranquil, contemplative, hopeful
Quality
Entropy : 6.55
Noise : 88
Prompt Clip Score : 0.23
AI Evaluation
Likelihood of AI : 0.30
Image errors : The image appears to have a slight graininess, possibly due to noise reduction or the low-light conditions.
Campfire Laughter: Friends Gather Under the Stars
A group of friends share laughter and warmth around a crackling campfire, creating a scene of joy and intimacy. The blurry forest background adds a sense of depth and mystery to this perfect summer night.
Prompt
High-Key Lighting: Intrigued, excited ; A group of adventurers, their faces illuminated by the glow of a campfire; Medium shot; Adventure; A dense, mysterious forest; cinematic
Characteristic
Shot : A group of friends gathered around a campfire in a forest, laughing and enjoying each other’s company.
Aesthetic Score : 0.7
Mood : joyful, warm, relaxed
Quality
Entropy : 6.77
Noise : 106
Prompt Clip Score : 0.31
AI Evaluation
Likelihood of AI : 0.10
Image errors : The image is slightly blurry and has a bit of noise in the shadows. There is also some chromatic aberration around the edges of the image.
Purple Haze: A Gamer’s Focus
A close-up shot captures the intensity of a gamer’s focus as their hands fly across the keyboard, bathed in a mysterious purple glow. The minimalist setup, with a gaming mouse and monitor in the background, emphasizes the technological immersion of the scene.
Prompt
High-Key Lighting: Focused, intense ; A gamer’s hands, illuminated by the screen of their computer, rapidly pressing buttons; Close-up; Gaming; A dimly lit room with neon lights; cinematic
Characteristic
Shot : A person’s hands are typing on a keyboard in a dimly lit room with a computer monitor and a tower PC visible in the background. The keyboard and mouse have red backlighting, and there is a pink light illuminating the room from the left side of the image.
Aesthetic Score : 0.6
Mood : focused, techy, ambient
Quality
Entropy : 6.91
Noise : 101
Prompt Clip Score : 0.29
AI Evaluation
Likelihood of AI : 0.20
Image errors : The image has a slightly blurry quality to it, especially in the background. There is also some noise present, particularly in the shadows.
Silhouettes of Love Against a Breathtaking View
A couple, hand in hand, gazes out at a majestic panorama of mountains and hills. Their silhouettes against the expansive landscape evoke a sense of romantic connection, peace, and shared hope for the future.
Prompt
High-Key Lighting: Romantic, awe-inspired ; A couple, hand-in-hand, gazing out at a breathtaking vista; Medium shot; Tourism; A panoramic view of a mountain range; cinematic
Characteristic
Shot : A couple is holding hands and looking at a scenic view of rolling hills in the distance. The woman is smiling and the man is looking straight ahead.
Aesthetic Score : 0.6
Mood : romantic, hopeful, adventurous
Quality
Entropy : 6.86
Noise : 101
Prompt Clip Score : 0.28
AI Evaluation
Likelihood of AI : 0.20
Image errors : There are no major image errors, however, there is some noise in the shadows and a slight overexposure in the sky
A Moment of Tranquility in a European City
A lone figure strolls down a sun-drenched cobblestone street, the old buildings casting long shadows. The scene evokes a sense of tranquility, solitude, and nostalgia, capturing the essence of a timeless European city.
Prompt
High-Key Lighting: Free, adventurous ; A lone traveler, walking down a sun-drenched cobblestone street; Medium shot; Travel; A bustling European city; cinematic
Characteristic
Shot : A man walks down a narrow cobblestone street, with old buildings on either side. The sun is shining and the street is empty, except for the man.
Aesthetic Score : 0.6
Mood : peaceful, solitary, nostalgic
Quality
Entropy : 6.69
Noise : 104
Prompt Clip Score : 0.25
AI Evaluation
Likelihood of AI : 0.20
Image errors : Slight overexposure. No other artifacts.
Family Laughter Fills the Kitchen with Joy
A heartwarming scene of a family gathered around a table, sharing a meal and laughter. The image captures the warmth and happiness of family togetherness, creating a cozy and inviting atmosphere.
Prompt
High-Key Lighting: Joyful, loving ; A family gathered around a table, laughing and sharing a meal; Medium shot; Family; A warm, inviting kitchen; cinematic
Characteristic
Shot : A family gathered around a table, likely for a meal, with a woman laughing in the foreground and two boys laughing in the background. There are food items visible on the table and glasses, suggesting a meal.
Aesthetic Score : 0.7
Mood : joyful, heartwarming, family
Quality
Entropy : 6.97
Noise : 99
Prompt Clip Score : 0.25
AI Evaluation
Likelihood of AI : 0.20
Image errors : No significant errors.
Lighthouse Against the Storm: A Dramatic Sunset Scene
A solitary lighthouse stands defiant against a backdrop of crashing waves and a fiery sunset. This serene yet dramatic scene evokes a sense of power and inspiration, capturing the beauty of nature’s raw energy.
Prompt
High-Key Lighting: Powerful, triumphant ; A lone figure, silhouetted against the fiery orange and purple hues of a sunset, stands atop a towering lighthouse overlooking a vast, windswept ocean. Below, the waves crash against the rocky shore, creating a symphony of sound. The lighthouse beam cuts through the gathering darkness, guiding ships safely home.; cinematic
Characteristic
Shot : A lighthouse stands tall on a rocky cliff overlooking a turbulent sea at sunset. The waves are crashing against the shore and the sky is filled with vibrant colors of orange, pink, and purple.
Aesthetic Score : 0.8
Mood : serene, dramatic, peaceful
Quality
Entropy : 6.87
Noise : 99
Prompt Clip Score : 0.27
AI Evaluation
Likelihood of AI : 0.30
Image errors : The image is slightly overexposed, leading to a loss of detail in the sky and the water. The waves are a bit too soft and lack a sense of realism.
Adventure Awaits: Exploring the Depths of Mystery
A lone explorer stands at the edge of the unknown, his smile hinting at the excitement that lies ahead. The cave’s shadows dance around him, creating a dramatic backdrop for this moment of discovery. The blurred figures in the background suggest a shared journey, a team united in their pursuit of the unknown.
Prompt
High-Key Lighting: Curious, adventurous ; A group of explorers, their faces illuminated by the light of their headlamps, navigating a dark cave; Medium shot; Adventure; A cavern filled with stalactites and stalagmites; cinematic
Characteristic
Shot : A group of four people in caving gear exploring a cave, the person in the foreground is looking at the camera and smiling
Aesthetic Score : 0.6
Mood : adventurous, explorative, bright
Quality
Entropy : 6.91
Noise : 110
Prompt Clip Score : 0.31
AI Evaluation
Likelihood of AI : 0.20
Image errors : There are some artifacts and noise in the image, particularly in the shadows
Victory Dance! Gamer Celebrates Triumph with Exuberant Fist Pump
This image captures the pure joy of victory! A young man, bathed in vibrant lights, celebrates a win with a wide smile and fists raised high. His energy and excitement are contagious, making this a truly triumphant moment.
Prompt
High-Key Lighting: Excited, triumphant ; A gamer, their face lit by the screen, celebrating a victory; Close-up; Gaming; A brightly lit gaming room with colorful decorations; cinematic
Characteristic
Shot : A young man wearing headphones is sitting in front of a computer, celebrating a victory, his fists are in the air, he is smiling widely, the scene is set in a dimly lit room with colourful lights, there are several gaming accessories around him on the desk
Aesthetic Score : 0.6
Mood : joyful, excited, energetic
Quality
Entropy : 6.88
Noise : 101
Prompt Clip Score : 0.30
AI Evaluation
Likelihood of AI : 0.20
Image errors : No noticeable errors in the image
Sunset Serenity: A Family’s Moment of Peace on the Beach
A heartwarming scene of a family of four standing on a beach, bathed in the golden glow of a setting sun. The peaceful atmosphere and the warmth of the light create a sense of tranquility and togetherness.
Prompt
High-Key Lighting: Peaceful, content ; A family, standing on a beach, watching the sunset; Medium shot; Family; A serene beach with turquoise water and golden sand; cinematic
Characteristic
Shot : A family of four is standing on a beach, facing the ocean. The adults are wearing casual clothing, and the children are wearing white dresses.
Aesthetic Score : 0.6
Mood : happy, relaxed, vacation
Quality
Entropy : 6.74
Noise : 92
Prompt Clip Score : 0.29
AI Evaluation
Likelihood of AI : 0.20
Image errors : The image is slightly overexposed, and the colors are a bit washed out.
Conclusion
The results show that the generative AI model performed well in terms of understanding the scene and camera position, but struggled with the aesthetic aspect. Here’s a breakdown:
- Camera Position: The model scored 0.25, which is below the “good” range of 0.5 to 0.75. This indicates that the model didn’t accurately translate the camera position described in the prompt into the generated image.
- Shot Analysis: The model scored 0.46, also below the “good” range. This suggests that the model had some difficulty understanding the scene described in the prompt and translating it into the image.
- Aesthetic Analysis: The model scored 0.18, which is within the “very good” range of -0.2 to 0.1. This means the generated image’s aesthetic closely matched the expected aesthetic based on the prompt.
Overall, the model seems to be better at capturing the desired aesthetic than accurately representing the camera position and scene.
Sources:
- https://www.swiff.org/article/crafting-the-tone-and-style-of-a-film
- https://digital-photography-school.com/backlighting-in-photography/
- https://www.studiobinder.com/blog/what-is-chiaroscuro-definition-examples/
- https://infocusfilmschool.com/4-wildly-different-movie-styles-youll-explore-filmmaking-college/
- https://cinepunked.com/2022/09/23/a-quick-guide-to-visual-style/
- https://cinematography.com/index.php?/forums/topic/184-desaturation-techniques/
- https://www.reddit.com/r/Filmmakers/comments/1452afb/colour_grading_an_underrated_factor_in_the/
- https://digital-photography-school.com/rule-of-thirds/
- https://docs.aws.amazon.com/bedrock/latest/userguide/titan-image-models.html