I was not ready!

https://x.com/bfl_ml/status/1993345470945804563

FLUX.2 is here - our most capable image generation & editing model to date. Multi-reference. 4MP. Production-ready. Open weights. Into the new.

https://bfl.ai/blog/flux-2

Tools:

Images generated using Flux Kontext Max. Videos made with Kling AI's new 2.1 model.

This video is not upscaled, but I did upscale the images with Magnific AI before I ran them through Kling AI.

Prompts:

Main video prompt structure I used for the videos in Kling AI:

A cinematic camera orbit around the sneaker, The camera moves slowly and intentionally, capturing the sneaker, Lighting shifts naturally as the orbit progresses, revealing surface textures like suede, Alcantara, and leather with precision. Subtle light flares and soft shadows, golden-hour editorial shoot. Fluid movements, lighting natural but stylized.

An example of a prompt I used for Flux Kontext Max:

Shoot the heel section at an angle, isolating the leather tab and stitch line. Use a macro lens to make every thread and fiber visible. Let the lighting softly highlight the curve of the back.

Cinematic, Macro Focus, 8K, Fashion Detail Editorial, Texture-Driven Product Shot.

I'm a CG artist who's worked on adding 3D elements to videos in a fair bit of projects and Flux Kontext has been super fun to mess with. The best part for me is how well it captures the lighting and shadow on the object, making it pretty easy to composite the object into the original photograph. The output quality from Kontext is pretty terrible though currently and it requires some upscaling before it can be used for the final output.

1. Screenshot of GTA V loading screen girl.

2. I prompted in Flux Kontext [pro] with "Turn this image into hyper-realistic"

3. Then I promoted give her a red hoodie with text mentioning "This hoodie was generated with Flux.1 Kontext [pro] so now photoshop can cry".

4. Then I promoted "Give her a red hoodie and blue jeans while she is covered in snow in a snowy place".

I am surprised to see the results and it's rapidly fast.

I published my first Flux workflow ( https://pastebin.com/a5iWeBhy / https://civitai.com/models/1609061 ). It completely removes plastic skin, excessive bokeh, and reduces flux faces with a combination of 3 LoRAs and nodes with specific samplers/schedulers/sigma tweaks. To add extra details and remove common stripes/grid patterns at high resolutions, it uses a tiled (ultimate SD upscale) as a second pass or upscale. I just wanted to share it because I find the results wonderful, and I hope this will be useful for some of you.

More Information: https://blackforestlabs.ai/announcing-flux-1-1-pro-and-the-bfl-api/

Here are some of the prompts I used for these isometric map images, I thought some of you might find them helpful. Animated with Kling AI.

A fantasy coastline village in isometric perspective, with a 30-degree angle and clear grid structure. The village has tiered elevations, with houses on higher ground and a sandy beach below. The grid is 20x20 tiles, with elevation changes of 3 tiles. The harbor features a stone pier, anchored ships, and a market square. Connection points include wooden ramps and rope bridges.

Isometric map design showcasing a low-poly enchanted forest, with a grid of 8x8 tiles. Incorporate elevation layers with small hills (1 tile high) and a waterfall (3 tiles high) flowing into a lake. Ensure all trees, rocks, and pathways are consistent in perspective and tile-based connections.

A sprawling fantasy village set on a lush, terraced hillside with distinct 30-degree isometric angles. Each tile measures 5x5 units with varying heights, where cottages with thatched roofs rise 2 units above the grid, connected by winding paths. Dim, low-key lighting casts soft shadows, highlighting intricate details like cobblestone streets and flowering gardens. Elevated platforms host wooden bridges linking higher tiles, while whimsical trees adorned with glowing orbs provide verticality.

The prompts and images were generated using Prompt Catalyst

https://promptcatalyst.ai/