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Examples

gpt-image-2

Denoising diffusion forward/reverse chain

Social Media Post prompt for social ads, ready to edit and generate in Image2Studio.

Social Media Post prompt for social ads, ready to edit and generate in Image2Studio.
Social Media Post prompt for social ads, ready to edit and generate in Image2Studio.
Prompt

Landscape 16:9 academic figure of diffusion forward + reverse chains, two horizontal chains stacked vertically. TOP chain (left→right) labeled "Forward diffusion q(x_t | x_{t-1})": five frames "x_0", "x_{T/4}", "x_{T/2}", "x_{3T/4}", "x_T" progressing from a crisp small mountain-sun landscape to pure Gaussian noise. Arrows between frames labeled "+ β_t ε". BOTTOM chain (right→left) labeled "Reverse denoising p_θ(x_{t-1} | x_t)": same five frames in reverse, with a small hexagonal ε_θ(x_t, t) block between each pair. Far-right curved arrow "T diffusion steps" connecting top-right to bottom-right; far-left curved arrow "sample x_0" connecting bottom-left to top-left. Title: "Denoising Diffusion: forward corruption and learned reverse". Subtitle: "Ho et al., 2020".

Prompt structure
  • Modelgpt-image-2
  • Use casesocial-media-post
  • Styleprompt-defined style
  • Aspect ratiolandscape
Best used for
  • Use casesocial-media-post
  • Styleprompt-defined style
  • Recommended specslandscape
  • ModelGPT Image 2
How to customize

Use this Denoising diffusion forward/reverse chain prompt as a base. Replace the subject, product details, environment, lighting, brand colors, and output ratio while keeping the social-media-post intent and the visual style direction stable.

Editable variables
  • SubjectReplace the product, person, scene, interface, or object being generated.
  • Use caseKeep or rewrite the destination as social media post, ad creative, cover image, poster, or ecommerce hero.
  • Framelandscape
  • Brand cuesAdd colors, materials, props, text-safe space, and the platform where the image will be used.
Recommended specs

Choose the frame for the destination first, then use 1K, 2K, or 4K based on output quality needs. Product images and posters usually benefit from higher resolution.

Pre-generation checklist
  • CheckSubject, lighting, composition, and frame are specific enough to review.
  • CheckText-safe space is included when the image will carry a headline or ad copy.
  • CheckResolution, credit cost, and final destination are checked before generation.
Why this prompt works

Denoising diffusion forward/reverse chain works because it starts from the image job, then controls subject, composition, lighting, style, and frame. It is best for social media post while keeping the prompt-defined style direction stable.

Common questions
  • Can I use it directly?Yes. Replace the subject, brand cues, and frame, then generate in Image2Studio.
  • Which ratio should I use?landscape