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- Replace Wan2GP/ with upstream v10.83 (was v10.01, 82 versions behind) - Add LTX-2 model detection (_is_ltx2) and task type registration - Wire 12 new generate_video() params (audio_scale, self_refiner, etc.) - Add image/audio path bridging: start_image/end_image → PIL, audio_input → audio_guide - Auto-detect image_prompt_type (T/TS/TE/TSE) for LTX-2 models - Add use_ltx2 toggle in travel_between_images.py with native keyframe anchoring - Fix smoke mode stubs to handle ltx2/qwen model types - Add comprehensive test suite (28 tests, all passing) Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
WGP v10.83 removed the apply_changes() function - config is now applied at module level during import. Updated headless_wgp.py to directly set output paths on wgp module-level variables instead. Also added GPU test script for LTX-2 19B validation. Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Add per-phase integration status tables covering LTX-2 model support, image anchoring, audio-driven video, and the Wan/LTX-2 toggle. Also fix NameError for 'app' in wgp.py headless mode and add a model download helper script. Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
43 smoke tests (no GPU) covering orchestrator payload, segment assignment, frame quantization, dependency chains, and stitch decisions. Real GPU test generates actual LTX-2 video transitioning between test images. Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
5 new test files (147 tests total, all passing): - test_service_health.py: structural regression gate (set sizes, handler coverage, config health) - test_all_services_headless.py: registration & model detection for all services - test_wan_headless.py: WAN core services smoke tests (T2V, I2V, VACE, Flux, Hunyuan) - test_ltx_headless.py: LTX family (LTXv + cross-model switching) - test_task_conversion_headless.py: DB->GenerationTask pipeline & phase_config parsing Also updates .gitignore to track all test files and adds tests/README.md. Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
…control - Add ICLoraPipeline routing in ltx2.py (elif pipeline_kind == "ic_lora") - Update ICLoraPipeline to accept stage_1_models/stage_2_models from WanGP - Add _get_stage_model() helper, replace all model_ledger calls - Add extra params (latent_conditioning_stage2, self_refiner_*) for compatibility - Add TestICLoraAudioImageSmoke headless tests (signature + audio conditioning) - Add ic_lora_audio_images test task template in create_test_task.py - Add test_ic_lora_gpu.py with real GPU tests for all 3 IC LoRA types Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
After syncing with upstream's structural refactoring (headless_wgp.py → source/models/wgp/orchestrator.py), port all LTX-2 19B integration changes to the new file location: - Add _is_ltx2() detection method + generation_helpers implementation - Update smoke mode stubs for ltx2/qwen model detection - Add LTX-2 image/audio parameter bridging (start_image → image_start, audio_input → audio_guide, auto image_prompt_type detection) - Add WGP v10.83 parameters: alt_prompt, duration_seconds, pause_seconds, audio_scale, input_video_strength, override_attention, custom_settings, top_k, self_refiner_* to both passthrough and normal mode param dicts https://claude.ai/code/session_01UKvbJG5LnAyZi26P6Jztn8
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Closing — this is a strict subset of PR #19, which covers all the same commits plus additional work. |
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