Here are some side-by-sides of my prompts, v4 vs v5, as well as some new prompts and crowd shots. I'll add more to this as I experiment.
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Editorial Style Photo, Eye Level, Modern, Living Room, Fireplace, Leather and Wood, Built-in Shelves, Neutral with pops of blue, West Elm, Natural Light, New York City, Afternoon, Cozy, Art Deco --ar 16:9
v4 (left) v5 (right)
1960s street style photo of a young woman, sitting, sailboat, green dior dress, silk green dress, green dress, silk, pearl necklace, tiffany's pearls, tiffany's pearl necklace, sunset, ocean, shot on Agfa Vista 200, 4k --ar 16:9
v4 (left) v5 (right)
Crowd Shot
1960s street style photo of a crowd of young women standing on a sailboat, wearing dior dresses made of silk, pearl necklaces, sunset over the ocean, shot on Agfa Vista 200, 4k --ar 16:9
street style photo of a young woman, red gucci jacket, blue gucci shirt, wide shot, natural lighting, soho, shot on Agfa Vista 200, 4k --ar 16:9
v4 (left) v5 (right)
Street style photo, Closeup shot, Nike Air Force 1 slytherin collab, unique Colorway, snake skin, hogwarts, natural lighting, original, unique, 4k --ar 16:9
elves working in a new york city bodega --ar 3:2
1990s era, photo of a young man, sitting, mechanical keyboard, working, desk, 1990s CRT monitor, monstera, 1 glass of oj, juice, wide shot, side view, natural lighting, home, polaroid, 4k --ar 16:9
1940s sci-fi film, wide angle, Ektachrome, a woman leading an army of art-deco style robots, chrome gucci spacesuit, retrofuturistic dusty courtyard, metal, gold, diamond, muted color palette, natural lighting, daytime, retrofuturistic, vintage, retro, 4k --ar 16:9
👈 v4 v5 👉
Editorial style photo, top-down camera shot, blue Mercedes-Benz SL-Class 1963, coastal road, beach, sunny lighting, elegant, refined, iconic, 4k --ar 16:9
Follow me @nickfloats
First vid coming to YouTube this week
I'll be adding to this thread with more cool examples and new prompts.
street style photo of a woman selling pho at a Vietnamese street market, sunset, shot on fujifilm --ar 16:9 --v 5
street style photo of a busy new york city bodega filled with people standing by the deli counter --ar 16:9
Full prompt in ALT
v4 (left) v5 (right)
closeup shot of a woman playing the violin in an orchestra, focused and confident, shot on fujifilm --ar 16:9
Landscape Style Photo, wide angle, Eye - level, Colorful flower foreground, Redwood Trees midground, Mountainous background, Sky and clouds, Lush Natural Colors, Yosemite National Park, Spring, Sunset, 4k, Stunning, Breathtaking --ar 16:9 --seed 180392413
v4 left v5 right
Playing with the aspect ratio
a beautiful drone shot of the New York City Skyline, Rainy Day, overcast --ar 3:1
overhead food photography, Bibimbap, Korean restaurant --ar 16:9
I could go on forever but I’ll spare you for now. I’ll be posting much more over the coming days as I continue to experiment. Follow me @nickfloats for that.
Now im gonna go reshoot some YouTube footage to update everything for v5 😑 channel link in bio, vid coming this week
kodak disposable camera photo of a group of elderly women shopping for colorful spices at a crowded Indian street market, golden hour --ar 16:9 --stylize 0
I started adapting my prompts to v5 and put some examples here if you wanna check them out. Natural language makes a big difference.👇
I'm really liking the approach @LTXStudio is taking with their video platform
Instead of going clip by clip, you prompt the basic story concept, and it generates an entire storyboard w/ multiple scenes, shots, and even character casting
Full interface tour:
You still have full control at the individual clip level, but the fact it takes the basic idea and turns it into a structured storyboard with multiple scenes and shots you can edit is pretty amazing
A few more consistent character tests in Midjourney
top row → test of --cw values on clothing
middle → seeing how it transfers emotions
bottom → using --cref with different actions
prompts & some notes in thread:
MJ default is --cw 100, but try lower --cw values if you plan to specify an outfit different from your reference img
💬 cinestill 800T photo of a woman working at her desk. She's wearing a black shirt and clear lens glasses --ar 5:7 --style raw --cref {img URL} --cw {0,50,100}
Here I asked for her in a black dress, so i dropped the --cw value to 0 to transfer just the face and tested different emotions
💬 cinestill 800T photo of a {happy, sad, neutral} woman wearing a black dress sitting on a boat --ar 5:7 --style raw --cref {img URL} --cw 0
An extreme close-up of an gray-haired man with a beard in his 60s, he is deep in thought pondering the history of the universe as he sits at a cafe in Paris, his eyes focus on people offscreen as they walk as he sits mostly motionless, he is dressed in a wool coat suit coat...
An adorable happy otter confidently stands on a surfboard wearing a yellow lifejacket, riding along turquoise tropical waters near lush tropical islands, 3D digital render art style. --ar 16:9 --style raw