AI video generation from text and images with cinematic, production-grade output.
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AI video generation from text and images with cinematic, production-grade output. In Dream Machine, describe scenes in natural, detailed language—think conversation, not keyword lists. Use the 6-part framework (Subject + Action + Setting + Camera + Lighting + Style), front-load the first 20–30 words, and use only one camera move per clip. Refine with Modify, @style, @character, Extend & Keyframes, and Camera Motion controls.
Use Luma’s 6-part framework: Subject + Action + Setting + Camera + Lighting + Style. Front-load critical details in the first 20–30 words.
What to provide
Details that improve the result
Example prompt
Slow push-in on a ceramic coffee mug on a wooden table, steam rising from hot coffee, morning sunlight streaming through window from the left, warm golden lighting, shallow depth of field, soft focus background, cozy morning atmosphere, shot on 35mm film.
If the first output is not good
Common mistakes
Upload the reference image, then prompt motion and camera behavior while inheriting look from the still.
What to provide
Details that improve the result
Example prompt
Product slowly rotates revealing all angles, soft studio lighting, minimal camera movement, premium commercial aesthetic, product details stay in focus, clean background, 5 seconds.
If the first output is not good
Common mistakes
Upload the image, type @character followed by your prompt so Dream Machine maintains appearance across shots.
What to provide
Details that improve the result
Example prompt
@character A woman in a flowing red dress walks through a sunlit Victorian garden, camera tracking from the side, golden hour lighting, gentle movement.
If the first output is not good
Common mistakes
Upload an image, type @style, then describe the scene you want rendered with that visual DNA.
What to provide
Details that improve the result
Example prompt
@style Minimalist watercolor landscape with the same paper texture and desaturated greens. Subject: bicycle leaning on a café wall, afternoon shade.
If the first output is not good
Common mistakes
Use Modify to adjust visuals by describing specific changes in natural language instead of full prompt rewrites.
What to provide
Details that improve the result
Example prompt
Modify: Make the colors warmer, add more trees in the background, keep the same camera path and subject pacing.
If the first output is not good
Common mistakes
Use Extend & Keyframes to lengthen clips with transitions toward a new visual target; add “loop” or “looping video” when seamless repetition is needed.
What to provide
Details that improve the result
Example prompt
Start: peaceful meadow at dawn. Keyframe end: starry night with fireflies over the same meadow. Transition smooth, slow camera push, looping firefly motion.
If the first output is not good
Common mistakes
Pick one camera behavior per generation—Luma’s prompt guide warns that multiple moves confuse the model. Use Camera Motion controls where available.
What to provide
Details that improve the result
Example prompt
Medium tracking shot of a chef plating pasta in an open kitchen, camera follows from the side, slow steady movement, warm practical lights, shallow depth of field.
If the first output is not good
Common mistakes
Build reusable templates: [SHOT TYPE] + [SUBJECT] + [SETTING] + [BRAND CAMERA STYLE] + [BRAND LIGHTING] + [BRAND COLOR] + [FILM STOCK]. Swap variables, keep constants.
What to provide
Details that improve the result
Example prompt
Wide shot of [PRODUCT] on [SURFACE], handheld with gentle movement, warm natural light, muted earth tones with selective color pops, shot on 35mm film, 9:16 vertical social cut.
If the first output is not good
Common mistakes
Write Dream Machine prompts like camera notes, not tag clouds. Use natural, detailed sentences. Structure: Subject + Action + Setting + Camera (one move) + Lighting + Style. Front-load the first 20–30 words. Use @character and @style when consistency matters; use Modify for conversational tweaks. Do not ask the model to render readable text or logos.
Medium tracking shot of a woman in a flowing red dress walking through a sunlit Victorian garden, camera following from the side, 35mm lens, golden hour lighting, shallow depth of field, gentle movement, muted color grading.
Luma’s official prompt guide defines six elements: Subject, Action, Setting, Camera, Lighting, and Style/Aesthetic.
Example
Subject: ceramic mug. Action: steam rising. Setting: morning kitchen. Camera: slow push-in. Lighting: window light from left. Style: 35mm film, cozy atmosphere.
Put shot type, subject, and camera move early in the prompt
Example
Slow push-in on a ceramic coffee mug on a wooden table, steam rising… (lighting and style follow).
Luma warns that combining moves like push-in then pan confuses the model—split complex motion into separate clips.
Example
Clip A: static medium shot of subject. Clip B: slow orbit around product—cut together in post.
Use film stock, color grading, and lighting recipes—e.g., Kodak Vision3, Blade Runner 2049 teal/orange, soft window light camera-left.
Example
Shot on Kodak Vision3 500T, soft window light from camera-left, slight grain, muted earth tones.
Dream Machine best practices: conversational Modify passes, @style/@character uploads, and board context for cohesive sequences.
Example
@style reference + prompt: “Add golden hour glow.” Modify: “Include a small cottage in the distance.”
Natural language over tags
Luma’s Dream Machine best practices say to treat prompts like a conversation—specific adjectives and clear descriptors beat vague mood words alone.
6-part framework
Official Luma guidance: Subject + Action + Setting + Camera + Lighting + Style. Weak prompts leave creative decisions to the model; strong prompts decide them for you.
Prompt length
Use detailed natural-language prompts and front-load critical details (shot type, subject, camera). Too little detail reduces control; very long prompts can dilute emphasis.
Single camera move rule
Use only one camera movement per clip. Combine static, push-in, tracking, or orbit—not stacked sequences in one generation.
Camera vocabulary
Models recognize shot types (ECU, CU, medium, wide) and moves (push-in, pull-back, dolly, tracking, orbit, crane). Name them explicitly.
No text or logos in prompts
Luma’s FAQ-level guidance: AI cannot reliably render readable text or logos. Plan overlays in post-production.
@character consistency
Upload a reference image and prefix prompts with @character to keep personalized subjects consistent across clips.
@style visual DNA
Upload a reference and prefix with @style to transfer palette, lighting quality, texture, and mood to new subjects.
Modify workflow
Describe specific conversational changes—“make colors warmer and add more trees”—instead of regenerating entire scenes.
Extend, keyframes, loop
Extend & Keyframes lengthen clips toward a new visual target; add “loop” or “looping video” when seamless repetition is required.
Board context retention
Dream Machine retains context within a board—evolve scenes with follow-ups like “Add a golden hour glow” or ask “Help me with ideas.”
Style presets
Predefined aesthetics like Anime or Cinematic align visuals quickly; combine with your own aesthetic keyword notes for repeatable looks.
Hands and faces
When hands are non-essential, frame them out. For visible hands, prompt natural positioning; generate several variants and pick the best.
Iterate before final renders
Explore variations, refine the strongest direction, then use your best settings for the final render.
Campaign templates
Lock brand camera style, lighting, and color language in a template; swap subject and setting per asset for cohesive multi-format campaigns.
Pricing, features, limits and latest updates
AI video generation from text and images with cinematic, production-grade output.
Paid · $30 / month
Plus
$30/ Monthly
Plus
$300/ Yearly
Pro
$90/ Monthly
Pro
$900/ Yearly
Ultra
$300/ Monthly
Ultra
$3,000/ Yearly
Team
Custom
Enterprise
Custom
The same credit wallet generates and edits images with Luma and partner models.
Dream Machine generates video with Luma and third-party models for credits.
Luma Agents plan, generate, and iterate; Pro and Ultra multiply agent usage.
Share a prompt that worked for you. Username and email are shown with your submission. External links are not allowed.
Example prompt
Prompt
Subject: barista pouring latte art in a small cafe. Action: slow pour, steam rising. Camera: static medium shot. Lighting: warm morning window light. Style: cinematic, shallow depth of field.
Short explanation
Luma's prompt guides recommend front-loading subject and action; one camera move per clip works best.
Example prompt
Prompt
[upload clip] Modify with Adhere: change only the sky to overcast. Keep the subject, camera angle, and foreground unchanged.
Short explanation
Modify modes (Adhere/Flex/Reimagine) are for conversational refinement; name what must stay stable.
Required fields are marked. Variation, result, and explanation are optional.
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