Local LLM on MacBookPro - Audio/Video
Video https://huggingface.co/Wan-AI https://github.com/Wan-Video/Wan2.2 https://github.com/Blaizzy/mlx-video Install uv tool install git+https://github.com/Blaizzy/mlx-video.git Download Model HF_HUB_DISABLE_XET=1 hf download Wan-AI/Wan2.2-TI2V-5B --local-dir Wan2.2-TI2V-5B --max-workers 1 HF_HUB_DISABLE_XET=1 hf download Wan-AI/Wan2.2-T2V-A14B --local-dir Wan2.2-T2V-A14B --max-workers 1 Convert ~/.local/share/uv/tools/mlx-video/bin/python -m mlx_video.models.wan_2.convert \ --checkpoint-dir models/Wan-AI/Wan2.2-TI2V-5B \ --output-dir models/Wan-AI/Wan2.2-TI2V-5B-mlx ~/.local/share/uv/tools/mlx-video/bin/python -m mlx_video.models.wan_2.convert \ --checkpoint-dir models/Wan-AI/Wan2.2-T2V-A14B \ --output-dir models/Wan-AI/Wan2.2-T2V-A14B-mlx \ --dtype bfloat16 Run Wan2.2-TI2V-5B t2v mlx_video.wan_2.generate \ --model-dir models/Wan-AI/Wan2.2-TI2V-5B-mlx \ --prompt 'A cinematic aerial shot of the Great Wall of China at sunrise' \ --width 1280 \ --height 704 \ --num-frames 81 \ --steps 40 \ --guide-scale 5.0 \ --shift 5.0 \ --scheduler unipc \ --seed 3478 \ --output-path video/great_wall1.mp4 i2v mlx_video.wan_2.generate \ --model-dir models/Wan-AI/Wan2.2-TI2V-5B-mlx \ --prompt 'A cat is boating on the river' \ --image models/Wan-AI/Wan2.2-TI2V-5B/examples/i2v_input.JPG \ --width 1280 \ --height 704 \ --num-frames 81 \ --steps 40 \ --guide-scale 5.0 \ --shift 5.0 \ --scheduler unipc \ --seed 13633 \ --output-path video/cat.mp4 Wan2.2-T2V-A14B mlx_video.wan_2.generate \ --model-dir models/Wan-AI/Wan2.2-T2V-A14B-mlx \ --prompt 'A cinematic aerial shot of the Great Wall of China at sunrise' \ --width 1280 \ --height 720 \ --num-frames 81 \ --steps 40 \ --guide-scale 3.0,4.0 \ --shift 12.0 \ --scheduler unipc \ --seed 11846 \ --output-path video/great_wall2.mp4 Upload HF_HUB_DOWNLOAD_TIMEOUT=120 HF_HUB_DISABLE_XET=1 hf upload-large-folder rickylin20260522/Wan2.2-TI2V-5B-mlx models/Wan-AI/Wan2.2-TI2V-5B-mlx --repo-type model --num-workers 2 Audio https://huggingface.co/MediaTek-Research Install brew install ffmpeg uv pip install mlx mlx-audio Convert model python -m mlx_audio.convert \ --hf-path models/MediaTek-Research/Breeze-ASR-25 \ --mlx-path models/MediaTek-Research/Breeze-ASR-25-mlx \ --dtype bfloat16 \ --model-domain stt audio ffmpeg \ -i ~/Downloads/talk.m4a \ -ar 16000 \ -ac 1 \ -c:a pcm_s16le \ ~/Downloads/talk.wav Run Breeze-ASR-25 python -m mlx_audio.stt.generate \ --model models/MediaTek-Research/Breeze-ASR-25-mlx \ --audio ~/Downloads/talk.wav \ --output-path talk_text \ --format json \ --language zh \ --verbose Upload hf upload-large-folder rickylin20260522/Breeze-ASR-25-mlx model/MediaTek-Research/Breeze-ASR-25-mlx --repo-type model --num-workers 1
