AI's Artistic Struggle: Capturing the Perfect Pose with Flux-schnell
- 9 minutes read - 1754 wordsTable of Contents
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-provided prompts. However, capturing the nuances of artistic expression, particularly in terms of pose and aesthetic style, remains a challenge. This blog post examines the performance of a generative AI model in creating images based on text prompts that specify poses, camera angles, and desired aesthetics. We’ll explore the model’s strengths and weaknesses, highlighting its ability to understand shot composition while struggling with accurately capturing camera positions and desired aesthetics.
Created with: flux-schnell
A Lone Warrior Stands Against the Flames
A solitary figure, armed with a sword, stands amidst a ravaged landscape, their gaze fixed on the horizon. The fiery backdrop adds to the dramatic intensity of the scene, highlighting the warrior’s heroic stance.
Prompt
poses action-pose: determined, heroic ; Lone warrior; wide shot; Heroism; Epic battle scene with smoke and fire; cinematic
Characteristic
Shot : A lone warrior with a sword in hand stands in a dramatic pose against a backdrop of flames and smoke.
Aesthetic Score : 0.7
Mood : epic, dramatic, intense
Quality
Entropy : 6.79
Noise : 66
Prompt Clip Score : 0.26
AI Evaluation
Likelihood of AI : 0.30
Image errors : Some minor artifacts in the smoke and flames, but not very noticeable
A Hiker’s Perspective: Finding Serenity in the Face of Immensity
A lone hiker stands on a rocky outcrop, dwarfed by the vast, mountainous landscape. The sun bathes the scene in a warm glow, creating a sense of serenity and adventure. Fluffy clouds drift by, adding to the feeling of hope and wonder.
Prompt
poses action-pose: adventurous, awe-inspired ; Adventurer standing on a cliff edge; medium shot; Adventure; Majestic mountain range with clouds; cinematic
Characteristic
Shot : A lone hiker stands on a rocky cliff overlooking a vast mountain range with clouds swirling around the peaks.
Aesthetic Score : 0.8
Mood : serene, adventurous, contemplative
Quality
Entropy : 6.73
Noise : 90
Prompt Clip Score : 0.27
AI Evaluation
Likelihood of AI : 0.10
Image errors : No noticeable errors.
Neon Glow, Focused Flow: Gamer’s Intensity Under the Lights
A young man, bathed in vibrant pink and purple neon, grips his controller with unwavering focus. His determined expression and the dramatic lighting create a powerful image of intense gaming concentration.
Prompt
poses action-pose: focused, intense ; Gamer holding a controller; close-up; Gaming; Neon-lit gaming room with multiple screens; cinematic
Characteristic
Shot : A young man is playing a video game, lit by colorful neon lights. He is holding a controller in his hand, and the focus is on his hand and the controller.
Aesthetic Score : 0.6
Mood : intense, focused, playful
Quality
Entropy : 6.26
Noise : 55
Prompt Clip Score : 0.32
AI Evaluation
Likelihood of AI : 0.10
Image errors : The image is slightly blurry, and the colors are a bit oversaturated. The focus is slightly off, making the image appear slightly out of focus.
City Lovebirds: A Moment of Joy Captured
A couple radiates happiness as they pose in front of a bustling city backdrop. Their stylish attire and sunglasses add a touch of cool to this carefree moment, perfectly capturing the essence of urban romance.
Prompt
poses action-pose: happy, excited ; Tourist taking a selfie in front of a famous landmark; medium shot; Tourism; Busy city square with people and street performers; cinematic
Characteristic
Shot : A couple is standing in front of a large building, possibly a church, with other people in the background. They are both wearing sunglasses and looking at the camera.
Aesthetic Score : 0.7
Mood : happy, cheerful, adventurous
Quality
Entropy : 6.84
Noise : 82
Prompt Clip Score : 0.28
AI Evaluation
Likelihood of AI : 0.20
Image errors : The image has some minor artifacts, such as slight blurriness in the background.
Love on the Open Road: A Couple’s Joyful Motorcycle Adventure
This picturesque scene captures the essence of freedom and adventure as a couple embarks on a motorcycle journey through rolling hills and lush greenery. The image evokes a sense of joy, romance, and the thrill of the unknown, making it a truly captivating visual.
Prompt
poses action-pose: free, adventurous ; Couple riding a motorcycle on a winding road; wide shot; Travel; Scenic countryside with rolling hills and vineyards; cinematic
Characteristic
Shot : A young couple riding a motorcycle on a winding road in a rural setting. The road curves to the right, and the couple is riding towards the camera. The background features rolling hills and a blue sky with some clouds.
Aesthetic Score : 0.7
Mood : romantic, adventurous, carefree
Quality
Entropy : 6.91
Noise : 107
Prompt Clip Score : 0.32
AI Evaluation
Likelihood of AI : 0.20
Image errors : No noticeable artifacts or errors.
Eiffel Tower Magic: Friends Celebrate Under the Stars
A group of friends gather in front of the iconic Eiffel Tower, their joy and celebration palpable under the night sky. The tower’s grandeur adds a touch of romance to the festive atmosphere.
Prompt
poses action-pose: joyful, celebratory ; Group of friends celebrating with drinks; medium shot; Groups; Rooftop bar with city lights in the background; cinematic
Characteristic
Shot : A group of young adults are standing on a rooftop with the Eiffel Tower in the background, enjoying drinks and a party atmosphere.
Aesthetic Score : 0.7
Mood : festive, fun, happy
Quality
Entropy : 6.66
Noise : 94
Prompt Clip Score : 0.28
AI Evaluation
Likelihood of AI : 0.10
Image errors : The image is slightly overexposed, leading to some loss of detail in the background, and there is a slight blur in the foreground.
Superheroic Leap at Dusk
A powerful superhero, reminiscent of Superman, soars through the twilight sky above a sprawling cityscape. Dramatic clouds and dynamic lighting enhance the heroic pose, capturing the essence of action and drama.
Prompt
poses action-pose: powerful, confident ; Superhero landing on a rooftop; wide shot; Heroism; City skyline with skyscrapers and neon lights; cinematic
Characteristic
Shot : A superhero, perhaps Superman, leaps across a cityscape at dusk.
Aesthetic Score : 0.7
Mood : dramatic, heroic, action
Quality
Entropy : 6.70
Noise : 83
Prompt Clip Score : 0.28
AI Evaluation
Likelihood of AI : 0.80
Image errors : The image has some slight artifacts and noise, particularly in the shadows and highlights. Some details in the cityscape are blurry.
Lost in the Green: A Man’s Journey Through the Forest
A lone hiker, shrouded in dappled sunlight, ventures through a verdant forest. The atmosphere is both adventurous and serene, hinting at a mystery waiting to be uncovered. The play of light and shadow adds a touch of intrigue, drawing you into the heart of the scene.
Prompt
poses action-pose: determined, adventurous ; Explorer navigating a jungle path; medium shot; Adventure; Lush green jungle with vines and sunlight filtering through the canopy; cinematic
Characteristic
Shot : A man in a hat and backpack walks through a lush green jungle. The image is taken from a slightly elevated angle, looking down on the man as he walks.
Aesthetic Score : 0.6
Mood : adventurous, mysterious, peaceful
Quality
Entropy : 6.85
Noise : 127
Prompt Clip Score : 0.25
AI Evaluation
Likelihood of AI : 0.10
Image errors : The image has a slight graininess. There is also some noise in the shadows.
The Focus of Competition: A Gamer’s Intensity in Dimly Lit Room
A young man, lost in the world of his video game, sits at his computer desk in a dimly lit room. The close-up shot captures his focused expression, highlighting the intensity and competitiveness of his gaming session. The blurred background suggests a lively atmosphere with other players present, adding to the sense of camaraderie and rivalry.
Prompt
poses action-pose: intense, focused ; Gamer competing in an esports tournament; close-up; Gaming; Stadium filled with cheering fans and bright lights; cinematic
Characteristic
Shot : A young man wearing a headset sits in front of a computer screen, likely in a gaming or esports setting. The background is blurred, suggesting a crowded room or arena.
Aesthetic Score : 0.6
Mood : focused, intense, competitive
Quality
Entropy : 6.89
Noise : 85
Prompt Clip Score : 0.29
AI Evaluation
Likelihood of AI : 0.10
Image errors : No visible artifacts or errors in the image.
Sunset Smiles on the Beach
Four friends capture the joy of a golden sunset on the beach, their laughter and carefree spirit radiating in this heartwarming photo.
Prompt
poses action-pose: happy, relaxed ; Family posing for a photo in front of a sunset; medium shot; Travel; Beach with golden sand and turquoise water; cinematic
Characteristic
Shot : Four friends are standing on a beach at sunset, they are smiling and looking at the camera.
Aesthetic Score : 0.7
Mood : happy, relaxed, fun
Quality
Entropy : 6.89
Noise : 89
Prompt Clip Score : 0.30
AI Evaluation
Likelihood of AI : 0.10
Image errors : No notable errors
Conclusion
The results show that the generative AI model performed okay in terms of camera position and shot analysis, but not so well in terms of aesthetic analysis. Here’s a breakdown:
- Camera Position: The model scored 0.33, which is below the “good” range of 0.5 to 0.75. This suggests that the model didn’t always accurately capture the intended camera positions described in the prompts.
- Shot Analysis: The model scored 0.54, which falls within the “good” range. This indicates that the model generally understood the scene descriptions in the prompts and produced images with appropriate shot compositions.
- Aesthetic Analysis: The model scored 0.03, which is significantly below the “very good” range of -0.2 to 0.1. This means that the generated images didn’t quite match the expected aesthetic style described in the prompts.
Overall, the model seems to struggle with accurately capturing the intended camera positions and aesthetic styles. However, it shows a good understanding of shot composition.
Sources:
- https://www.writerswrite.co.za/cheat-sheets-for-writing-body-language/
- https://mads3df.wordpress.com/2013/09/04/storytelling-poses/
- https://www.pinterest.com/pegasister890/character-poses/
- https://www.youtube.com/watch?v=udky6ANxWws
- https://maven.com/articles/storytelling-techniques
- https://fal.ai/models/fal-ai/flux/schnell/api