Rich_Winsor

Wow! Crickets? Doesn't anybody want to take the image they posted here and try recreating it using the professional-level prompting template and see if you get an image that is better, the same or worse? On a different note interreacting with ChatGPT is getting more personal all the time. I tell Chat when it's doing a good job and ask it how it can be so stupid when it isn't. Tonight when I opened Chat I opened an image and typed in the following prompt: "Hello Chat. Are you ready to do battle again?" I expected a text response so I was surprised when it stared to generate an image. Here's the image:

If you want to dig a little deeper look into stage-aware prompting. Question posed to ChatGPT: What is stage-aware prompting? Stage-aware prompting is a technique where you build an image or video prompt in layers (stages) instead of trying to force everything into one giant instruction. Rather than saying everything at once, you guide the model through: Foundation Composition Details Motion / emotion Refinement It works especially well for: photorealistic images cinematic scenes consistent characters image-to-video generation multi-step editing Why It Works AI models often fail when prompts contain: too many priorities conflicting instructions action + style + camera + environment all competing equally Stage-aware prompting fixes this by: establishing the scene FIRST then layering complexity then refining only specific elements This produces: more stable compositions fewer hallucinations better realism more consistent lighting and anatomy Think of It Like Filmmaking A director does not say: “Make an emotional cinematic masterpiece with realistic lighting and movement and perfect composition and…” Instead they build: Set Camera Lighting Actor blocking Performance Final polish Stage-aware prompting does the same thing. The 5 Core Stages Stage 1 — Foundation Establish ONLY: subject environment overall realism/style Do NOT overload this stage. Example Photorealistic upscale home entrance at night with symmetrical architecture and warm interior lighting. Stage 2 — Composition & Camera Now define: framing angle lens shot type camera behavior Example Locked-off camera, eye-level medium-wide shot using a 35mm cinematic lens. Symmetrical composition maintained throughout. Stage 3 — Subject Action Now add: motion pose expressions interaction Example A young woman slowly opens the right-side front door, smiles warmly, and gestures invitingly toward the viewer. Stage 4 — Secondary Detail Layer Now refine: textures realism lighting nuance physical accuracy Example Realistic skin texture, natural hand motion, physically accurate door movement, subtle cloth motion, cinematic shadow falloff. Stage 5 — Constraints & Protection This stage is CRITICAL. Prevent the AI from drifting. Example Do not change the architecture, camera angle, framing, or lighting design. No extra people, no text, no exaggerated facial features. Example: Single Giant Prompt vs Stage-Aware Weak (everything mixed together) A cinematic photorealistic woman opening a door smiling with warm lighting realistic shadows realistic motion symmetrical composition luxury home… This confuses priority. Strong (stage-aware) Stage 1 Photorealistic luxury home entrance at night. Stage 2 Locked-off symmetrical medium-wide shot with a 35mm lens. Stage 3 A young woman opens the front door and smiles warmly at the visitor. Stage 4 Natural body movement, realistic lighting spill, subtle shadow transitions. Stage 5 Maintain exact framing and architecture. No additional characters or camera movement. The model now understands: what matters first what is secondary what must never change Stage-Aware Prompting for IMAGE GENERATION Excellent structure: Stage 1 — Scene Modern luxury garage interior. Stage 2 — Composition Wide-angle eye-level shot. Stage 3 — Main Action Two mechanics work on a lifted black truck. Stage 4 — Realism Natural fluorescent lighting with detailed tools and realistic grease textures. Stage 5 — Constraints Maintain original room dimensions and wall spacing. Stage-Aware Prompting for VIDEO This becomes even more powerful. Because video models struggle with: motion consistency camera stability identity drift object permanence Video Prompt Staging Example Stage 1 — Scene Front porch of an upscale home at night. Stage 2 — Camera Camera remains completely static and centered. Stage 3 — Initial State Both front doors are closed. Stage 4 — Action Sequence The woman opens the door, smiles, waves, and gestures inside. Stage 5 — Motion Quality Realistic hand motion and accurate hinge physics. Stage 6 — Constraints No camera movement, no cuts, no additional people. Advanced Stage-Aware Technique: “Anchor → Motion → Protection” This is one of the strongest modern structures. 1. Anchor Lock the visual world. Symmetrical luxury entryway at night with warm lighting. 2. Motion Introduce only the animation. Woman opens the door and waves naturally. 3. Protection Prevent corruption. Camera remains static. Architecture unchanged. No object warping. Another Advanced Trick: Hierarchical Priority Prompting Use wording that signals importance. High Priority must exact maintain locked-off Medium Priority should preferably Low Priority optional subtle Example: Camera must remain static. Architecture must remain unchanged. Lighting should remain warm and realistic. Subtle ambient movement is acceptable. This teaches the model priority. Visual Style References That Pair Well with Stage-Aware Prompting Cinematic Realism Controlled Motion / Human Action The Biggest Benefit Stage-aware prompting reduces: melted hands drifting faces warped architecture random extra objects unstable motion inconsistent lighting because the AI receives information in a structured hierarchy instead of chaotic prose. Best General Template Stage 1 — Environment Stage 2 — Camera Stage 3 — Subject Stage 4 — Action Stage 5 — Realism Stage 6 — Constraints This is one of the best professional-level prompting methods for image and video generation today.

A.I. / LLM Good RENDERING Prompts Here you go, straight from the horse's mouth. Question posed to ChatGPT: "How to structure a prompt to get the best image?" (It turns out that the order in which you address the elements is crucial to getting the best results.) Response: (scroll all the way to the bottom for a quick, good overall prompt template) A strong image prompt usually has 5 parts, in this order: Subject — what the image is about Environment — where it takes place Composition / Camera — framing, angle, lens, distance Style / Lighting — cinematic, photorealistic, painterly, etc. Constraints — what must NOT change or appear A reliable formula looks like this: [Subject] in [environment], shot as [camera/composition], with [lighting + mood + style], showing [specific actions/details], while maintaining [important constraints]. Example Structure Basic Prompt A mechanic working on a vintage truck inside a clean modern garage, wide-angle shot from eye level, warm cinematic lighting, photorealistic detail, realistic tools and grease marks, shallow depth of field. Better Prompt = More Specific Compare: Weak A garage with mechanics. Strong Two mechanics servicing a lifted black pickup truck inside a high-end automotive workshop, polished concrete floors, organized tool chests, hydraulic lift visible, photographed with a 35mm lens at eye level, realistic fluorescent overhead lighting mixed with warm sunlight from the open bay door, ultra-photorealistic textures, cinematic color grading. The Most Important Sections 1. SUBJECT Be extremely clear about: Who or what How many Appearance Action Example A young woman in a red evening dress opening double front doors and smiling warmly. 2. ENVIRONMENT Describe: Location Time of day Weather Background objects Example Upscale suburban home at night with warm interior lighting and stone entryway. 3. CAMERA / COMPOSITION This dramatically improves results. Useful terms: Camera Angle eye level low angle overhead close-up medium shot wide shot Lens Style 24mm = dramatic/wide 35mm = cinematic natural 50mm = realistic portrait 85mm = compressed portrait look Composition centered composition symmetrical framing shallow depth of field background blur locked-off camera Visual Examples of Camera Styles Wide Cinematic Portrait / Close Detail 4. LIGHTING & STYLE Lighting is often the difference between “AI-looking” and believable. Useful styles: photorealistic cinematic ultra-detailed documentary style natural lighting soft ambient light moody shadows golden hour overcast realism Example Soft warm practical lighting with realistic shadow falloff and cinematic contrast. 5. CONSTRAINTS (VERY IMPORTANT) This is where you control the AI. Examples: Do not alter image dimensions Maintain original framing No extra people Keep camera static Preserve architecture No text or watermark Keep proportions realistic This prevents the model from “getting creative” in bad ways. Best Professional Prompt Format This format works extremely well for photorealistic results: Create a photorealistic image of [subject] in [environment]. Camera is [composition/lens/angle]. Lighting is [lighting description]. Include [important details]. Maintain [constraints]. No [undesired elements]. Example Using Your Style of Projects Create a photorealistic image of a luxury residential front entrance at night. A young woman is opening one of the double front doors and smiling warmly toward the camera as if greeting a guest. Camera remains locked-off and centered with symmetrical composition using a 35mm cinematic lens. Warm interior lighting spills naturally onto the porch while exterior lighting remains soft and realistic. Maintain the exact architecture and framing of the original image. No additional people, no text, no exaggerated AI features, no camera distortion. Advanced Trick: Priority Order The AI pays more attention to: Early prompt text Repeated concepts Concrete details Visual language So: Put critical requirements FIRST Put restrictions LAST Repeat important concepts once Excellent Keywords for Realism These often improve quality: photorealistic cinematic natural skin texture realistic lighting physically accurate detailed textures shallow depth of field film still realistic proportions HDR photography documentary realism Things That Commonly Ruin Images Avoid vague phrases like: “make it cool” “awesome” “beautiful” Avoid contradictory terms: “dark bright lighting” “cartoon photorealistic” Avoid overload: Too many subjects Too many actions Too many styles at once One of the Best Overall Prompt Templates Create a photorealistic cinematic image of [main subject] in [environment]. Shot with a [lens] from [camera angle]. Lighting is [lighting style]. The subject is [action/expression]. Include [important environmental details]. Maintain [composition/constraints]. No [undesired elements]. That structure alone will improve image quality dramatically.

Glenn Dawg shoots the curl 1) combine image 1 (beagle on surfboard - don't ever mention Snoopy) with image 2 (Laird Hamilton dropping into a 30 footer as Jaws) in PSP to create image 3. 2) Take image 3 into ChatGPT and create image 4. 3) Take ChatGPT image into Invideo AI to create the following video. Glenn.mp4 Interestingly enough when creating the video with Invideo AI the image creation was stopped @ 93% because it found a questionable image. The software restarted the video creation and the video failed to generate for the second time @ 93% I didn't know how to proceed so I typed "what's the problem?" and entered the prompt. Chat gurgled, thought about it and said it was creating 2 videos for me to compare, 1 from GROK and 1 from KLING 3.0. I didn't care for the GROK version but I really like the KLING version. So I guess what I have is an image generated in KLING but sold to me thru Invideo. Hadn't heard about them. Here's their website. https://kling3.io/ Lastly could somebody please look in on Mike G. Just make sure he seems OK and check the area for any sharp objects.

That's a pretty fancy tree house Carrie.

I don't have a clue but you might want to try posing the question to one of the free AI programs out there. I've had some good results with queries about file transfers and downloads. Couldn't hurt to try.

Got this figured out. Here is a sample of the quality of videos you can create from your ChatGPT created images. This one was only 3.44 MB. Original ChatGpt image created from Chief Architect CPU Ray Trace image: Invideo video created from ChatGPT image: A Warm Hug.mp4

A taste of what Invideo can do with a Chat GPT image. You can now create videos out of you ChatGPT images. Had to keep the resolution low and the duration short but you get the idea. Imagine showing your client a walk thru with an image of your client actually walking thru the rooms. Welcome-4 second clip.mp4

Create a photorealistic image of mt rushmore on a beautiful day with puffy clouds in the sky. replace lincoln with the 1st picture - replace roosevelt with the 2nd picture - replace jefferson with the 3rd picture - replace washington with the 4th picture. have all the replacements look like stone like the presidents look.

I'm not a macro guy but since ChatGPT keeps asking me if I want to write code I thought I would ask it if it could write Chief macros. FWIW, here's the upshot. Prompt: Can ChatGPT create macros in chief architect 17 software? Reply: Short answer: Yes — ChatGPT can help create macros for Chief Architect (including version 17), but there are some important limitations. What ChatGPT can do Write Ruby macros (the language Chief Architect uses) Help you: Build custom labels, schedules, and reports Format object data (dimensions, materials, counts, etc.) Debug or improve existing macros Explain how to use the Text Macro Management (TMM) system and object variables (NVPs) Chief Architect macros are essentially Ruby scripts that read data from objects (like cabinets, rooms, windows) and output text or calculated values. What ChatGPT cannot fully do on its own It doesn’t know your specific model’s variables (NVPs) unless you provide them It may guess variable names that don’t exist, which leads to broken macros It can struggle with complex relationships in Chief Architect’s data structure (e.g., linking windows to rooms) It can’t modify geometry or core program behavior—only report or calculate data Reality check (important) Think of ChatGPT as a macro assistant, not a plug-and-play generator: Great for: “Write a macro to display cabinet width/height/depth” “Fix this macro error” “Combine these values into a label” Less reliable for: Highly complex automation across multiple objects Anything requiring deep internal Chief Architect relationships Even experienced users note that ChatGPT can get “really close” but still need manual adjustment Best way to use ChatGPT with Chief Architect To get working macros, you should provide: The exact object type (cabinet, room, window, etc.) The NVP variables (from TMM) The goal output Example prompt that works well: “Write a Chief Architect macro using Ruby that outputs cabinet width, height, and depth. Variables are: width, height, depth.” Bottom line Yes, ChatGPT can absolutely help you create macros for Chief Architect 17 But you’ll still need to test, tweak, and supply correct variables It’s best used as a coding partner, not a fully automatic solution If you want, tell me what macro you're trying to build and I can write one tailored to your exact setup

Oh boohoo. You guys got something against circuses? We have a fascinating new tool to use and explore. Lighten up and have a little fun along the way. You’ll probably live longer too. If you find a post that doesn't contain content you are interested in just hit the "Next unread topic" link and move on. I think we are just scratching the surface of a powerful new tool and I am interested in all prompts and the resulting outcomes they produce. JMHO Oops, forgot the prompt: The scene is a circus tent filled with fans and the alien is performing tight rope walking on the high wire holding a 10' long balancing pole and smiling at the fans below.

That's the easy way to do it. I name one copy red oak - horizontal and the second copy red oak - vertical for easy reference. You can also use the rotation angles 0° and 90°.

Robert, please don't take this in any way as a criticism of your image but I find it interesting that AI seems to like to keep cracks in streets and driveways etc. I seem to remember someone else also commenting on this behavior. Usually I would think this would be undesirable as these are often sign of trouble to come. With this in mind I had a play with your image to illustrate the possible outcome of such problems. innocent cracks? Prompt: Show what would happen if a big sink hole appeared in the street where the cracks are around the manhole cover.

We're all just having some fun. Interesting image we've come up with. Should we call this a close encounter of the AI kind? BTW, some people have expressed, shall we say, concern over the little guy's lack of apparel. Not wanting to ruffle anyone's feathers I submit to you an edited version correcting that issue.

Here's a Chief image of a local auditorium I rendered and the AI version created from it. Prompt was to move the camera angle back and up and populate the image with students leaving the auditorium.

When I opened Chat GPT tonight I was greeted by this screen. Someone is listening to their user feedback.

Ain't AI great! Other than the imposed guard rails there are no limits on where you can go.

I'll see your image and raise you one alien.

Need realistic looking people in your renderings? No problem, just tell the program what you want.

I've only been using ChatGPT for about a week but I have had good success at modifying specific objects. Here is an interesting example. I wasn't particularly enamored of the look of the young lady but she was in the pose I wanted. Original Chief PBR image Prompt: photo realistic image showing sky between trees. Prompt: Change only the young lady with the flags to a cute blonde wearing an I (heart icon) racing t-shirt. What do ya think of Chat's choice? Calls to mind the old idiom "I wouldn't kick her/him out of bed for eating crackers"

You might check your Defaults/Walls/General Walls and uncheck "Auto Rebuild Attic Walls". I think this is checked by default but I find that it often creates more problems than it solves.

Looks great. +1

Is this the effect you are looking for? This is just 4 triangular 3D Solids with Shiplap siding applied as the material.

For better results best posted in the Seeking Services forum.

You are jumping into a very old post. Much better to start a new thread with your question. That being said you can access the Break Line tool quickly by hitting the 3 key on your keyboard.