Publiée le 27 août 2026 · Nous avons confirmé le 30 août 2026 qu'elle est toujours active
US$ 750 – US$ 1.500 par projet
Upgrade my existing platform: https://rustling-motion-magic-labs.base44.app/ I need a production-grade AI filmmaking website, not a demo or basic prompt-to-video generator. The system must generate high-quality AI films from 5 seconds up to 2 minutes (120 seconds) and support multiple productions/jobs at the same time. CORE WORKFLOW: Users must be able to create a project, enter a story/script/commercial concept/prompt, create or upload characters and reference images, create locations, generate/edit a screenplay, automatically create scenes/shots, generate storyboards, approve shots, run Production Preflight, submit production, generate video segments using GPU workers, automatically assemble segments, add dialogue/music/SFX/captions/audio, produce the final MP4 and download the completed film. Support 5/10/15/30/45/60/90/120 seconds and custom durations up to 120 seconds. LONG-VIDEO ARCHITECTURE: DO NOT attempt to generate a 120-second diffusion video in one request. Automatically divide movies into controlled shots/segments. Example: 120-second film → screenplay → scenes → shots → 5–10 second segments → QC → assembly → audio → upscale/post-processing → final master. A 120-second movie could contain approximately 12–24 segments. Users should not manually assemble them. BASE44 + GPU BACKEND: Base44 should handle users/login, projects, productions, characters, locations, scripts, storyboards, shots, assets, settings, job status, admin and database. Actual AI generation must run on a dedicated GPU backend. Architecture: Base44 Website → ROLLCALL API → Job Queue → GPU Workers → Storage → QC/Assembly → Final Video. The browser must not be responsible for keeping generation alive. JOB QUEUE: Implement a real queue using Redis/Celery, Redis/RQ, BullMQ or another production solution. Hierarchy: Production ID → Scene ID → Shot ID → Segment ID → Generation Job ID. Statuses: QUEUED, ASSIGNED, RUNNING, UPLOADING, QC, COMPLETED, RETRYING, FAILED, CANCELLED. Every job must save settings, model, prompt, references, seed, GPU, start/end time, retries, errors and output. MULTIPLE PRODUCTIONS: Mandatory. I need to submit Production A/B/C/D without waiting for one movie to finish. With one GPU, jobs queue. With multiple GPUs, jobs automatically distribute across GPU-01/GPU-02/GPU-03/GPU-04. Additional GPUs must be addable without rebuilding the website. GPU WORKERS: Do not hard-code one provider. Support architecture for RunPod, Vast.ai, Lambda, CoreWeave, AWS and local/dedicated servers. Workers register capabilities, GPU model, VRAM, installed models, status and heartbeat. States: ONLINE/BUSY/DRAINING/OFFLINE/ERROR. If a worker crashes, unfinished jobs return to the queue. Completed segments must survive. VIDEO MODELS: Start with Wan 2.2 or the best appropriate self-hosted model. Support text-to-video, image-to-video and reference-image generation. Build a Model Registry so additional models/APIs can be added without rebuilding the platform. Do not hard-code the database around one model. CHARACTER IDENTITY LOCK: Character consistency is critical. Each character needs ONE canonical Character ID. Example CAMBELL = CHAR_CAMBELL_001. Every screenplay, scene, shot, storyboard and production must reference this ID rather than typed name variations. Store face/front/left/right/3/4/full-body references, wardrobe, appearance description, approved plates and identity-lock status. Never create duplicate characters. Approved references automatically follow the character into every required generation. LOCATIONS/WARDROBE/PROPS: Use canonical IDs for locations, wardrobe, props, vehicles and sets. Location records store references, lighting, room/set characteristics, important objects and continuity information. References automatically follow relevant shots. STORYBOARD + SHOTS: Create storyboard frames before expensive video generation. Allow Approve/Edit/Regenerate/Delete/Reorder. Every shot contains duration, Character IDs, Location ID, action, camera/framing, movement, lighting, wardrobe, props, dialogue, audio, prompt, negative prompt, seed, references and previous/next-shot continuity. Where possible use a previous shot's ending frame as reference for the next shot. PRODUCTION PREFLIGHT: Before rendering validate characters, character locks, locations, references, storyboards, durations, prompts, GPU worker, model, storage and audio settings. Show READY TO PRODUCE or specific errors explaining what must be fixed. Never silently fail. QUALITY: Support DRAFT (fast testing), STANDARD (balanced), CINEMA (high quality), MASTER (maximum quality/post-processing). Support 480p draft, 720p generation/preview, 1080p final/upscale and future 4K. Do not falsely call upscaled footage native 4K. Support 16:9, 9:16, 1:1, 4:5 and 2.39:1. SHOT REGENERATION: If Shot 17 of a 24-shot movie is bad, do NOT regenerate the movie. Allow Regenerate Shot, Change Prompt, Seed, Camera, Motion, Reference or Model. Replace the shot and rebuild the master. QC + RETRIES: Automatically verify file existence, duration, resolution, FPS, corruption, black/frozen output and where practical AI-check identity, anatomy, unwanted people, wardrobe and location continuity. Failed jobs retry automatically. Attempt 1 FAIL → retry → Attempt 2 → retry → Attempt 3 NEEDS ATTENTION. Never restart an entire production because one shot fails. CHECKPOINTING: Continuously save production state. If 18/24 shots are completed and a server restarts, continue unfinished work. Never unnecessarily regenerate completed segments. VIDEO/AUDIO ASSEMBLY: Use FFmpeg or equivalent. Support clip assembly, trimming, transitions, FPS/resolution normalization, dialogue, voice-over, music, SFX, ambience, captions, loudness normalization and final encoding. Architecture must allow future lip-sync/facial performance. PRODUCTION DASHBOARD: Show production runtime, total shots, completed/rendering/queued/failed shots and overall progress. Show individual shot statuses. Users must be abl
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