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Shenghai Yuan 2024-12-26 10:12:33 +08:00 committed by GitHub
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@ -20,7 +20,7 @@ For single-gpu inference, you can use the following command:
cd TeaCache4ConsisID
python3 teacache_sample_video.py \
--rel_l1_thresh 0.1 \
--rel_l1_thresh 0.1 \
--ckpts_path BestWishYsh/ConsisID-preview \
--image "https://github.com/PKU-YuanGroup/ConsisID/blob/main/asserts/example_images/2.png?raw=true" \
--prompt "The video captures a boy walking along a city street, filmed in black and white on a classic 35mm camera. His expression is thoughtful, his brow slightly furrowed as if he's lost in contemplation. The film grain adds a textured, timeless quality to the image, evoking a sense of nostalgia. Around him, the cityscape is filled with vintage buildings, cobblestone sidewalks, and softly blurred figures passing by, their outlines faint and indistinct. Streetlights cast a gentle glow, while shadows play across the boy\'s path, adding depth to the scene. The lighting highlights the boy\'s subtle smile, hinting at a fleeting moment of curiosity. The overall cinematic atmosphere, complete with classic film still aesthetics and dramatic contrasts, gives the scene an evocative and introspective feel." \