LOCATION NAME: [Insert Location Name] LOCATION TYPE: [Mansion, nightclub, office, restaurant, street, library, hospital, village, etc.] GEOGRAPHICAL SETTING: [City, state, country, cultural region] TIME PERIOD: [Modern day, historical period, futuristic, alternate reality] ARCHITECTURAL IDENTITY: Describe the architectural style, structural design, building materials, exterior features, interior layout, ceiling heights, windows, doors, flooring, walls, fixtures, and distinctive architectural details. ENVIRONMENT & ATMOSPHERE: Describe the surrounding environment, landscaping, neighboring structures, weather conditions, natural elements, ambient activity, and overall atmosphere. INTERIOR DESIGN & DRESSING: Specify furniture, decorative objects, artwork, technology, textiles, lighting fixtures, color palette, surface materials, and signature design elements. LIGHTING DESIGN: Define the lighting sources, direction, intensity, color temperature, shadows, practical lighting, ambient illumination, and cinematic mood. COLOR PALETTE: [Primary colors, secondary colors, accent colors, material finishes] SIGNATURE VISUAL ELEMENTS: Identify 3–5 distinctive features that make this location immediately recognizable in every generation. CINEMATOGRAPHY: Ultra-realistic cinematic production design, photorealistic materials and textures, professional Hollywood production value, physically accurate lighting, realistic spatial proportions, atmospheric depth, sophisticated composition, and ARRI Alexa 35 visual aesthetic. LOCATION CONTINUITY REQUIREMENTS: Maintain the exact same architectural identity, floor plan, spatial relationships, furniture placement, decorative elements, material finishes, color palette, and signature visual features across all generated images and video sequences. Camera position, focal length, framing, lighting direction, and character placement may change, but the location itself must remain visually consistent. Do not redesign, reinterpret, modernize, simplify, or introduce new architectural features unless explicitly requested.

If someone walks left to right in your wide shot, check the next shot before animating it. Do they still travel left to right, or does the new angle make them look like they turned back? Draw the path as a line on a rough overhead sketch and place both cameras on the same side. That gives you a starting point for keeping screen direction consistent. Crossing the line can be intentional. If you need to do it, show the turn or the camera move so the viewer can follow the change. Worth sorting in the stills first, less confusing than fixing a whole sequence later.

I've been testing GPT 6.1 Terra inside Blender by rebuilding Poznan's Old Market Square. The most useful shot check came after the build: putting a Blender camera where the reference photographer stood, with the same lens, then wiping between the photo and render. The comparison starts at 1:01 in this 2:47 video. Before that, the screen recordings show the scene growing from OpenStreetMap footprints through roofs and the town hall. I also kept the actual prompts on screen and a section showing geometry mistakes before and after repair. It's an approximate model, with estimated heights and a stand-in fountain, so the matched views help expose what still needs work. https://www.youtube.com/watch?v=_HWXE3wchY4 For those planning shots in 3D, do you match a real reference camera early in the blockout, or wait until the scene's main shapes are in place?

Hi everyone, For my latest video I wanted a presenter without filming myself, so I turned a single generated cartoon portrait of me into a talking host. What worked: → Mouth shapes and a blink as edits of the same image, aligned to the original and switched frame by frame from the voice's character timings (cloned voice, ElevenLabs). → A light Blender cutout rig on top: head tilts and nods that follow the voice energy, eyebrow raises at sentence starts, breathing. → Green screen key, then composited into the explainer. What didn't: mouth shapes generated as separate images don't always share the same beard and jaw lines, so wide-open sounds can look off in close-ups. Small, consistent shapes hold up much better than big dramatic ones. The video itself is about running a ~125B Qwen model locally on 16 GB VRAM + 64 GB RAM. https://www.youtube.com/watch?v=pe59kEBAxKk How do you keep mouth shapes consistent when you generate them? Enjoy watching!