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https://github.com/vladmandic/automatic
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CalamitousFelicitousness
ff42f1631c
Add POST /sdapi/v1/video plus GET /sdapi/v1/video/models and GET /sdapi/v1/video/file. The generation body is extracted from the gradio handler into a keyword-only core, video_run.run, which returns a structured result and raises typed errors; the positional generate signature is unchanged and now adapts to the core. Omitting engine and model drives the currently loaded checkpoint when it is video-capable, which covers models loaded from local folders without a registry entry. - registry helpers in models_def (find, engines, pipeline_classes, workflow_for_class); validate_pipeline reuses the shared class set - modular pipes stamp their workflow so out-of-registry loads dispatch onto the modular branch - disk switches (mp4_*) and wire switches (send_*) are independent; artifacts above the base64 cap fall back to path plus the file route, which is jailed to the video output directory and serves video/mp4 with range support - always-on video scripts get bootstrapped default args, matching the txt2img handler; missing bootstrap raised a TypeError per frame - checkpoint overrides are rejected with a pointer to the checkpoint endpoint; unknown engine, model and sampler names return 404 with the valid choices - cli/api-video.py client, test/test-video-api.py suite and a full-test.sh entry; video mimetypes registered; rate-limit cost set - remove the unreferenced video_ui.run_video dispatcher
16 lines
539 B
Python
16 lines
539 B
Python
import mimetypes
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def register():
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mimetypes.init()
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mimetypes.add_type('application/javascript', '.js')
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mimetypes.add_type('application/javascript', '.mjs')
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mimetypes.add_type('application/json', '.map')
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mimetypes.add_type('text/html', '.html')
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mimetypes.add_type('image/webp', '.webp')
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mimetypes.add_type('image/jxl', '.jxl')
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mimetypes.add_type('font/ttf', '.ttf')
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mimetypes.add_type('video/mp4', '.mp4')
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mimetypes.add_type('video/webm', '.webm')
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mimetypes.add_type('video/x-matroska', '.mkv')
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