...

https://docs.bfl.ai/guides/prompting_guide_flux2

Hex Colors	Brand work, precise matching	`color #FF5733` or `hex #FF5733`
Camera References	Photorealism	`shot on [camera], [lens], [settings]`
Style Eras	Period-specific looks	`80s vintage`, `2000s digicam`
Multi-Reference	Composite images	[pro]: 8, [flex]: 10, [dev]: ~6
Seed	Reproducible results	`seed: 42`
Guidance [flex]	Prompt adherence	`guidance: 4.5` (1.5-10)
Steps [flex]	Quality vs speed	`steps: 50` (16-50)
Aspect Ratios	Use case optimization	1:1, 16:9, 9:16, 4:3, 21:9

Code Block

prompt = "Realistic macro photograph of a hermit crab using a soda can as its shell, partially emerging from the can, captured with sharp detail and natural colors, on a sunlit beach with soft shadows and a shallow depth of field, with blurred ocean waves in the background. The can has the text `BFL Diffusers` on it and it has a color gradient that start with #FF5733 at the top and transitions to #33FF57 at the bottom."

image = pipe(
    prompt_embeds=remote_text_encoder(prompt),
    #image=load_image("https://huggingface.co/spaces/zerogpu-aoti/FLUX.1-Kontext-Dev-fp8-dynamic/resolve/main/cat.png") #optional image input
    generator=torch.Generator(device=device).manual_seed(42),
    num_inference_steps=50, #28 steps can be a good trade-off
    guidance_scale=4,
).images[0]

...