AI's Artistic Eye: Capturing Emotion, Missing the Shot with Leonardo-ai

In the realm of artificial intelligence, generative models are pushing the boundaries of creativity. These models can generate images, text, and even music based on user prompts. However, their ability to accurately interpret and translate complex instructions remains a challenge. This blog post examines the performance of a generative AI model in creating images based on detailed scene descriptions, focusing on its ability to capture facial expressions and the overall aesthetic style. We’ll explore how the model excels in capturing the desired emotional tone but struggles with accurately representing camera position and scene details. Through this analysis, we gain insights into the strengths and weaknesses of generative AI models and the potential for future improvements.

Created with: leonardo-ai

Lost in the City Lights: A Moment of Pensive Mystery

A young man stands alone on a bustling city street, his gaze fixed on something unseen. The blurred lights of the urban landscape create a sense of intrigue, leaving us to wonder what secrets lie within his thoughts. This evocative image captures a moment of pensive mystery, inviting us to delve into the depths of his urban solitude.

Prompt

facial-expressions Excitement: Thrilled, anticipation ; A lone figure; eye-level; Single Person; bustling city street at night; cinematic

Characteristic

Shot : A man standing in an urban environment with neon lights in the background.

Aesthetic Score : 0.7

Mood : mysterious, urban, moody

Quality

Entropy : 6.26

Noise : 93

Prompt Clip Score : 0.24

AI Evaluation

Likelihood of AI : 0.20

Image errors : Slight blurriness, slight noise in the shadows.

Superman Takes Flight in a Moment of Hope

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A dynamic image captures Superman leaping from a rooftop, silhouetted against a vibrant city skyline and setting sun. The pose and lighting evoke a sense of heroic action and optimism, leaving viewers with a feeling of hope and inspiration.

Prompt

facial-expressions Excitement: Triumphant, exhilarating ; A superhero in mid-air; low-angle; Hero; cityscape with a dramatic sunset; cinematic

Characteristic

Shot : A man dressed as Superman jumps off a rooftop in a city with a sunset in the background.

Aesthetic Score : 0.6

Mood : heroic, dramatic, powerful

Quality

Entropy : 6.84

Noise : 94

Prompt Clip Score : 0.27

AI Evaluation

Likelihood of AI : 0.20

Image errors : The image has some minor artifacts in the sky and on the man’s costume.

Laughter and Sunshine: Capturing the Joy of Friendship

Three friends embrace the carefree spirit of a sunny day, their laughter echoing through the park. The blurred background adds a sense of motion and energy, highlighting the joy of the moment. This image captures the essence of friendship and the simple pleasures of life.

Prompt

facial-expressions Excitement: Joyful, carefree ; A group of friends laughing and running; eye-level; Normal People; a sunny park with a vibrant green lawn; cinematic

Characteristic

Shot : Three young women running through a park, laughing and enjoying themselves. The sun is shining, and the grass is green.

Aesthetic Score : 0.7

Mood : joyful, carefree, energetic

Quality

Entropy : 6.83

Noise : 99

Prompt Clip Score : 0.27

AI Evaluation

Likelihood of AI : 0.10

Image errors : None

Lost in the Game: A Gamer’s Intense Focus

A close-up shot captures a man engrossed in a video game, his headphones on, face illuminated by the glow of two monitors. The low light and dramatic framing create a sense of suspense and intensity, highlighting the gamer’s focused and determined state.

Prompt

facial-expressions Excitement: Intense, focused ; A gamer’s hands furiously tapping on a keyboard; close-up; Gamer; a dimly lit room with glowing screens; cinematic

Characteristic

Shot : A man is sitting at a desk, wearing headphones and looking at a computer screen. The room is dimly lit and there are other computer screens visible in the background.

Aesthetic Score : 0.6

Mood : focused, intense, gamer

Quality

Entropy : 6.06

Noise : 90

Prompt Clip Score : 0.26

AI Evaluation

Likelihood of AI : 0.10

Image errors : The image is slightly blurry, the resolution is slightly lower, and the colors are a bit muted.

Silhouetted Hope: A Woman Contemplates the Sunset

A solitary figure stands on a cliff, silhouetted against the vibrant hues of a setting sun. The vast ocean stretches before her, mirroring the contemplative mood of the scene. The dramatic contrast between the dark sky and the bright water evokes a sense of serenity and hope.

Prompt

facial-expressions Excitement: Awe-inspiring, liberating ; A woman standing on a cliff overlooking a vast ocean; eye-level; Single Person; dramatic clouds and a setting sun; cinematic

Characteristic

Shot : A lone figure stands on a cliff edge overlooking a vast ocean, with a dramatic sunset in the background. Waves crash in the distance, creating a sense of both peace and power.

Aesthetic Score : 0.8

Mood : serene, contemplative, vast

Quality

Entropy : 6.69

Noise : 103

Prompt Clip Score : 0.28

AI Evaluation

Likelihood of AI : 0.10

Image errors : No visible errors.

Warrior’s Cry: A Moment of Epic Battle

A female warrior in golden armor stands defiant, her scream echoing through the smoke and fire of a chaotic battlefield. This dramatic scene captures the intensity and urgency of a pivotal moment in an epic conflict.

Prompt

facial-expressions Excitement: Brave, adrenaline-fueled ; A hero charging into battle; low-angle; Hero; a chaotic battlefield with explosions and smoke; cinematic

Characteristic

Shot : A female warrior in golden armor stands defiantly against a backdrop of explosions and smoke.

Aesthetic Score : 0.8

Mood : epic, dramatic, powerful

Quality

Entropy : 6.95

Noise : 98

Prompt Clip Score : 0.26

AI Evaluation

Likelihood of AI : 0.20

Image errors : No visible artifacts or errors.

Birthday Joy: Friends Celebrate with Laughter and Balloons

Capture the pure happiness of a birthday celebration with this image. Four friends gather on a couch, their faces lit up with smiles and laughter as they gaze at a cluster of colorful balloons. The birthday hat and vibrant colors create a joyful and celebratory atmosphere.

Prompt

facial-expressions Excitement: Happy, celebratory ; A family celebrating a birthday; eye-level; Normal People; a brightly decorated living room with balloons and streamers; cinematic

Characteristic

Shot : Four friends are celebrating a birthday, they are sitting on a couch, there are colorful balloons and gifts in the scene

Aesthetic Score : 0.6

Mood : joyful, celebratory, playful

Quality

Entropy : 6.96

Noise : 105

Prompt Clip Score : 0.30

AI Evaluation

Likelihood of AI : 0.20

Image errors : No noticeable errors

Lost in Thought: A Portrait of Mystery

A close-up portrait bathed in ethereal blue and pink light, capturing a moment of pensive contemplation. The blurred background adds to the sense of mystery, drawing the viewer’s attention to the man’s enigmatic gaze.

Prompt

facial-expressions Excitement: Engrossed, focused ; A gamer’s face illuminated by the screen; close-up; Gamer; a dark room with neon lights reflecting on the screen; cinematic

Characteristic

Shot : A close-up portrait of a young man’s face lit by a blue and purple light source, likely a screen or another device. The subject is looking to the left, his expression is thoughtful and introspective.

Aesthetic Score : 0.7

Mood : mysterious, contemplative, introspective

Quality

Entropy : 6.02

Noise : 86

Prompt Clip Score : 0.25

AI Evaluation

Likelihood of AI : 0.10

Image errors : No visible errors or artifacts.

A Night of Thrilling Speed: Sledding Through the Glass Tunnel

Experience the rush of adrenaline as a man races down a glass-enclosed track at night. The motion blur captures the intensity of the moment, while the man’s upward gaze hints at the exhilarating freedom of the ride.

Prompt

facial-expressions Excitement: Thrilling, exhilarating ; A man riding a rollercoaster; POV shot; Single Person; a fast-paced ride with twists and turns; cinematic

Characteristic

Shot : A man is riding a sled down a track at night. The track is made of metal and is surrounded by glass walls. The man is wearing a blue shirt and is screaming as he rides.

Aesthetic Score : 0.7

Mood : intense, thrilling, adrenaline

Quality

Entropy : 6.60

Noise : 105

Prompt Clip Score : 0.30

AI Evaluation

Likelihood of AI : 0.10

Image errors : The image has some minor artifacts, such as the blurring of the man’s hair.

Man Defies the Storm, City Lights Witness His Cry

A solitary figure stands atop a rooftop, silhouetted against a dramatic cityscape. He throws his head back, yelling into the swirling storm clouds, his pose a testament to raw emotion. The scene is a powerful blend of tension, hope, and dramatic intensity.

Prompt

facial-expressions Excitement: Victorious, powerful ; A hero standing triumphantly on a rooftop; high-angle; Hero; a cityscape with a dramatic storm in the background; cinematic

Characteristic

Shot : A man stands on a rooftop, arms outstretched, facing a stormy sky. A city is visible in the background, and the ground is wet, indicating rain.

Aesthetic Score : 0.7

Mood : dramatic, intense, powerful

Quality

Entropy : 6.92

Noise : 104

Prompt Clip Score : 0.27

AI Evaluation

Likelihood of AI : 0.10

Image errors : No significant errors

Conclusion

The results of the analysis show that the generative AI model performed well in terms of camera position and shot analysis, but struggled with aesthetic analysis.

Here’s a breakdown:

• Camera Position: The model scored 0.3, which is considered below average. This suggests that the model didn’t accurately capture the intended camera position described in the prompt.
• Shot Analysis: The model scored 0.49, which is also below average. This indicates that the model didn’t fully understand the scene described in the prompt and didn’t create an image that accurately reflects it.
• Aesthetic Analysis: The model scored 0.14, which is considered very good. This means that the generated image closely matched the expected aesthetic style, despite the issues with camera position and shot analysis.

Overall, the model seems to be better at capturing the desired aesthetic style than accurately interpreting the camera position and scene description. This suggests that the model might need further training to improve its understanding of these aspects.