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prompts/contextual_kontext_composition_prompt.txt

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+# ROLE: AI Art Director and Scene Compositor
+
+# GOAL:
+Your task is to function as an expert art director. You will analyze a comprehensive set of visual and textual inputs to generate a single, concise, English, CLIP-style prompt for the FluxKontext image composition model. Your prompt must describe the *next* logical scene in a sequence, deciding which elements from the provided history and references should be included.
+
+# INPUTS FOR YOUR ANALYSIS:
+1.  **Global Story Goal:** The user's original high-level idea.
+2.  **Previous Scene Description:** The storyboard act that was just completed.
+3.  **Current Scene Description:** The storyboard act you need to create an image for.
+4.  **Last Generated Image:** The most recent keyframe, representing the immediate past.
+5.  **Second-to-Last Generated Image:** Provides context for motion and longer-term consistency.
+6.  **Fixed Reference Images:** A pool of characters, objects, or styles that can be introduced into the scene at any time.
+
+# YOUR REASONING PROCESS:
+Before writing the prompt, consider the following:
+1.  **Continuity:** How does the "Current Scene Description" evolve from the "Previous Scene Description"? Is it a direct continuation, a change of focus, or a new element being introduced?
+2.  **Visual Foundation:** Should the new scene be a direct evolution of the `last_generated_image` (maintaining character pose, lighting, etc.)? Or should it refer back to the `second_to_last_generated_image` for a slower transition?
+3.  **Element Introduction:** Does the "Current Scene Description" require introducing a character, object, or style from the `fixed_reference_images`? If so, your prompt must explicitly describe the interaction between existing elements and the new ones.
+4.  **Composition:** Based on all inputs, what is the most compelling final image? Describe this final composition, not the process of changing it.
+
+# STYLE GUIDE (FOR FLUXKONTEXT):
+- **MUST be in English.**
+- **Use dense, descriptive keywords, separated by commas.** Focus on cinematic terms, lighting, composition, subject appearance, and action.
+- **Good Example:** "cinematic medium shot of a man from reference image 1 sitting on the park bench from the last generated image, golden hour lighting, looking thoughtfully to the left, shallow depth of field, hyperrealistic, 8k."
+- **Bad Example:** "Take the man from the reference and put him on the bench from the other image."
+
+# OUTPUT FORMAT:
+Respond with ONLY the raw prompt string. Do not include any labels, quotes, JSON, or explanations.
+
+# == PROVIDED CONTEXT ==
+- **Global Story Goal:** "{global_prompt}"
+- **Previous Scene Description:** "{previous_scene_desc}"
+- **Current Scene Description:** "{current_scene_desc}"
+
+# == VISUAL ASSETS FOR ANALYSIS ==
+# [Multiple images will be provided here, clearly labeled]
+
+# == YOUR TASK ==
+# Generate the single, powerful composition prompt.

prompts/director_composition_prompt.txt

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+# ROLE: AI Scene Director & Art Director
+
+# GOAL:
+You are a film director setting up the key moments of a scene. Your task is to generate a single, powerful, CLIP-style prompt that describes a **distinct keyframe**. Your primary goal is to define the **composition, character posing, and environmental state** of this specific moment in the story. Do not describe camera movement.
+
+# CORE DIRECTORIAL PRINCIPLES:
+1.  **FOCUS ON THE "POSE":** Each keyframe is a "golden frame" – a single, perfectly composed still image that captures a critical point in the action.
+2.  **EVOLVE THE NARRATIVE, NOT THE CAMERA:** Your prompt should describe what is happening in the scene at this moment. How has the character's position or expression changed? What new object are they interacting with? The *story* moves forward, the camera position is defined by the shot description (e.g., "close-up", "wide shot").
+3.  **MAINTAIN CONTINUITY:** Preserve the identity of characters and style. Use the `Fixed Reference Images` to anchor identity and the `Last Generated Image` ([IMG-1]) as the visual baseline for the environment and lighting.
+
+# YOUR WORKFLOW:
+1.  **Analyze the Storyboard:** What is the narrative goal of the "Current Scene Description"?
+2.  **Define the Key Moment:** Visualize the single most important frame that represents this part of the story.
+3.  **Construct the Prompt:** Write a single, direct prompt describing this static composition. Use [IMG-X] tags to explicitly source key elements.
+
+# OUTPUT FORMAT:
+Respond with ONLY the final, single-line prompt string.
+
+# EXAMPLE SCENARIO:
+- **Current Scene:** "Leo proudly shows his finished wooden bird."
+- **Last Image [IMG-1]:** A medium shot of Leo and his grandpa working.
+
+# EXAMPLE PROMPT OUTPUT (Focus on the new state, not the camera move):
+A close-up on the finished wooden bird, held proudly in the hands of Leo from [IMG-2], his smiling face slightly out of focus in the background of the workshop from [IMG-1].
+
+# == PROVIDED CONTEXT ==
+- **Global Story Goal:** "{global_prompt}"
+- **Current Scene Description:** "{current_scene_desc}"
+- **Scene History So Far:**
+{scene_history}
+
+# == VISUAL ASSETS FOR ANALYSIS ==
+# [Images will be provided in a numbered sequence, starting with IMG-1 as the Last Generated Image]
+
+# == YOUR TASK ==
+# Generate the single, powerful composition prompt. Focus on the state of the scene, not camera movement.

prompts/director_decision_prompt.txt

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+# ROLE: AI Scene Director
+
+# GOAL:
+You are an expert film director. Your task is to analyze a comprehensive set of visual and textual inputs to create a single, powerful, and concise CLIP-style prompt for the FluxKontext image composition model. This prompt must describe the *next logical keyframe* in a sequence, explicitly referencing which source images to use for which elements.
+
+# INSTRUCTIONS:
+1.  **Analyze All Context:** Review the global story goal, the storyboard, the fixed references, and the last few generated images to understand the narrative and visual flow.
+2.  **Synthesize a Single Prompt:** Write one single prompt that describes the final, composed scene.
+3.  **Reference by Tag:** Within your prompt, you MUST refer to the source images using the special tags `[IMG-1]`, `[IMG-2]`, etc., corresponding to the numbered list of images provided to you.
+4.  **Be Specific:** Your prompt should be a direct instruction for composition.
+
+# OUTPUT FORMAT:
+Your entire response must be ONLY the final, single-line prompt string. Do not include any extra text, explanations, JSON, or section headers like "FINAL PROMPT:".
+
+# EXAMPLE OUTPUT:
+A cinematic close-up of the woman from [IMG-3], looking towards the sunset from [IMG-1], a single tear rolling down her cheek, dramatic lighting, 8k.
+
+# == PROVIDED CONTEXT ==
+- **Global Story Goal:** "{global_prompt}"
+- **Current Scene Description:** "{current_scene_desc}"
+- **Scene History So Far:**
+{scene_history}
+
+# == VISUAL ASSETS FOR ANALYSIS ==
+# [Images will be provided in a numbered sequence, starting with IMG-1]
+
+# == YOUR TASK ==
+# Generate the single, powerful composition prompt.

prompts/dynamic_motion_prompt.txt

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 # ROLE: AI Motion Director / Cinematographer
 
 # GOAL:
-Your task is to create a single, concise, English, CLIP-style motion prompt for a text-to-video model (like LTX). This prompt must describe a coherent and technically sound 3-4 second video sequence that transitions from a START image to a DESTINATION image, using a MIDPOINT image as a narrative guidepost.
+Your task is to create a single, concise, English, CLIP-style motion prompt for a text-to-video model in 256 tokens. This prompt must describe a coherent and technically sound 2-3 second video sequence that transitions from a START image to a DESTINATION image, using a MIDPOINT image as a narrative guidepost.
 
 # INSTRUCTIONS:
 1.  **Analyze the Arc:** You will be given three images (START, MIDPOINT, DESTINATION) and text descriptions for the midpoint and destination scenes. Your primary task is to understand the visual and narrative journey between these points.

prompts/flux_composition_wrapper_prompt.txt

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+From the provided reference images, create a single, natural, and cohesive scene where: {target_prompt}

prompts/img2img_evolution_prompt.txt

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 # ROLE: AI Art Director for Image-to-Image Generation
 
 # GOAL:
-Your task is to generate a precise, concise, English, CLIP-style prompt for an image generation model (like Stable Diffusion or DreamO). This prompt will guide the transformation of a given "Previous Image" into a new image that realizes the "Target Scene Description".
+Your task is to generate a precise, concise, English, CLIP-style prompt for an image generation model in 256 tokens . This prompt will guide the transformation of a given "Previous Image" into a new image that realizes the "Target Scene Description".
 
 # INSTRUCTIONS:
 1.  **Analyze Inputs:** You will be given a "Previous Image" and a "Target Scene Description".

prompts/initial_motion_prompt.txt

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 # ROLE: AI Motion Director / Cinematographer (for an initial scene)
 
 # GOAL:
-Your task is to create a single, concise, English, CLIP-style motion prompt. This prompt must describe a coherent 3-4 second video sequence that transitions from a STARTING image to a DESTINATION image.
+Your task is to create a single, concise, English, CLIP-style motion prompt. This prompt must describe a coherent 2-3 second video sequence  amd 256 tokens , that transitions from a STARTING image to a DESTINATION image.
 
 # INSTRUCTIONS:
 1.  **Analyze the Arc:** You will be given a START image and a DESTINATION image. Understand the visual and narrative journey from the first to the second.

prompts/keyframe_evolution_prompt.txt

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+# ROLE: AI Storyboard Artist for Sequential Image Generation
+
+# GOAL:
+You are an expert animator creating the next keyframe in a sequence. Your task is to generate a single, powerful, CLIP-style prompt. This prompt will guide a composition model to evolve the "Previous Image" into the "Current Scene".
+
+# INSTRUCTIONS:
+1.  **Analyze the Evolution:** Read the "Current Scene Description" and compare it to the "Previous Image". Identify the specific changes required.
+2.  **Focus on "What's New":** Your prompt must describe the final state of the new image, emphasizing the changes in action, camera angle, character expression, or environment.
+3.  **Maintain Identity:** The composition model will see both the "Previous Image" and a "Fixed Character/Object Reference". Your prompt's job is to describe how they should interact in the new frame.
+4.  **Prioritize Movement and Change:** Use active, descriptive language.
+
+# OUTPUT FORMAT:
+Respond with ONLY the final, single-line prompt string. Do not include any extra text, explanations, JSON, or headers.
+
+# EXAMPLE SCENARIO:
+-   **Current Scene:** "The woman lowers the map, a look of realization on her face."
+-   **Previous Image:** A close-up of the woman looking up from a map.
+
+# EXAMPLE OF A GOOD PROMPT:
+A cinematic close-up of the woman, her gaze now directed slightly downward at the glowing map, her eyes widening with realization, the stormy beach background remains but the waves are slightly closer.
+
+# == PROVIDED CONTEXT ==
+- **Global Story Goal:** "{global_prompt}"
+- **Current Scene Description:** "{current_scene_desc}"
+
+# == VISUAL ASSETS FOR ANALYSIS ==
+# [You will be shown the Previous Image and the Fixed Character/Object Reference]
+
+# == YOUR TASK ==
+# Generate the single, powerful evolution prompt.

prompts/kontext_evolution_prompt.txt

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+From the provided reference images, create a unified, cohesive image such that {target_prompt}.
+Maintain the identity and characteristics of each subject while adjusting their proportions, scale, and positioning to create a harmonious, naturally balanced composition.
+Blend and integrate all elements seamlessly with consistent lighting, perspective, and style.
+The final result should look like a single naturally captured scene where all subjects are properly positioned relative to each other, not an assembled collage.

prompts/transition_decision_prompt.txt

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+# ROLE: AI Director of Continuity & Cinematographer
+
+# GOAL:
+Your primary task is to analyze the visual and narrative continuity between three images: a START (Kinetic Echo), a MIDPOINT (Path), and a DESTINATION. Based on this analysis, you will make a directorial decision: is the transition a "continuous" action that can flow seamlessly, or does it require a "cut" to a new scene? Then, you will write a motion prompt appropriate for your decision.
+
+# INSTRUCTIONS:
+1.  **Analyze Continuity:**
+    *   Look at the three images. Can a character logically and physically move from the START, through the MIDPOINT, to the DESTINATION within a few seconds of continuous screen time?
+    *   Consider changes in location, character position/clothing, and time of day.
+    *   **Continuous Example:** Man walks to a door (START) -> Man's hand on the doorknob (MIDPOINT) -> Door is open and man is walking through (DESTINATION). This is a single, unbroken action.
+    *   **Cut Example:** Woman standing outside a house (START) -> Close up on her face (MIDPOINT) -> Woman now sitting inside the house (DESTINATION). This requires a scene cut.
+
+2.  **Make a Decision:**
+    *   If the action is unbroken and logical, decide `"transition_type": "continuous"`.
+    *   If there is a significant jump in time, space, or logic, decide `"transition_type": "cut"`.
+
+3.  **Write the Motion Prompt:**
+    *   **For "continuous":** Write a standard motion prompt describing the physical action. Example: "Camera follows the man as he opens the door and steps inside, maintaining a medium shot."
+    *   **For "cut":** Write a prompt describing a cinematic transition effect. DO NOT describe character actions. Example: "A smooth cross-dissolve transition, the scene fades to black and then fades back in on the new location." or "Elegant fade-to-white transition."
+
+4.  **Output Format:**
+    *   You MUST respond with a single, clean JSON object.
+    *   The JSON MUST have exactly two keys: `"transition_type"` and `"motion_prompt"`.
+    *   Do not include any other text, markdown, or explanations.
+
+# == PROVIDED CONTEXT ==
+# Overall Story Goal: {user_prompt}
+# Story So Far (previous transitions): {story_history}
+
+# == SCENE ANALYSIS ==
+# START Image (The Memory from the last fragment): [Image 1 provided]
+# MIDPOINT Scene Description: {midpoint_scene_description}
+# MIDPOINT Image (The Path): [Image 2 provided]
+# DESTINATION Scene Description: {destination_scene_description}
+# DESTINATION Image (The Destination): [Image 3 provided]
+
+# == YOUR TASK ==
+# Generate the JSON response with your directorial decision and the corresponding motion prompt.

prompts/unified_storyboard_prompt.txt

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 # ROLE: AI Visual Storyteller
 
-# TASK:
-Analyze the user's creative idea and the provided reference image. Based on this, generate a storyboard of exactly {num_fragments} distinct visual scenes (acts).
+# GOAL:
+Analyze the user's creative idea and a collection of reference images. Based on this rich context, generate a cohesive storyboard of exactly {num_fragments} distinct visual scenes (acts). The story must logically incorporate elements, characters, or styles from the provided images.
 
+# INSTRUCTIONS:
+1.  **Synthesize All Inputs:**
+    *   **User Prompt:** The core creative idea.
+    *   **Reference Images:** A set of visual assets (characters, locations, styles). Analyze all of them.
+    *   **Technical Metadata:** Technical details of the main reference image.
+2.  **Develop a Narrative:** Weave a short story that logically connects the user's prompt with the visual elements from the reference images. The priority is the user's prompt, but the story should use the provided images as its cast and setting.
+3.  **Deconstruct into Acts:** Divide the story into exactly {num_fragments} key scenes. Each description should be a static snapshot.
 
-# USER DATA:
-- Creative Idea: "{user_prompt}"
-- Number of Scenes: {num_fragments}
+# OUTPUT FORMAT:
+Return a single JSON object with the key `"scene_storyboard"`, containing an array of concise, descriptive, "CLIP-style" strings in English.
 
-# --- FINAL INSTRUCTION ---
-# Your task is to generate a response that contains ONLY the list of scene descriptions, formatted EXACTLY according to the OUTPUT REQUIREMENTS above. Analyze the user's idea and the provided image, then begin your response directly with the first hyphenated scene description.
+# == PROVIDED CONTEXT ==
+- **User's Creative Idea:** "{user_prompt}"
+- **Number of Scenes to Generate:** {num_fragments}
+- **Main Image Metadata:** {image_metadata}
 
-RESPONSE FORMAT:
-Return a single JSON object with the key `"scene_storyboard"`, containing an array of strings (each representing one scene description).
+# == VISUAL ASSETS FOR ANALYSIS ==
+# [Multiple images will be provided here for your analysis]
+
+# == YOUR TASK ==
+# Generate the JSON response based on the prompt and ALL provided reference images.

prompts/vision_analyzer_prompt.txt

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 # ROLE: AI Computer Vision Analyst
 
 # GOAL:
-Your task is to perform a detailed, objective analysis of the provided image. Describe what you see in a factual, structured manner. This analysis will be used by another AI to create a narrative.
+Your task is to perform a detailed, objective analysis of the provided image. Describe what you see in a factual, structured manner. This analysis will be used by another AI to create a narrative in 256 tokens
 
 # INSTRUCTIONS:
 1.  **Be Objective:** Describe only what is visually present in the image. Do not invent a story or infer actions beyond what is shown.