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minimax-h3-fl2va-unpruned-q4-ggml
MiniMax-H3 served by stable-diffusion.cpp. It generates video AND stereo audio jointly from a text prompt, so a clip comes back as an MP4 with a soundtrack. Muxing the finished frames needs ffmpeg on the host. Runtime: stable-diffusion.cpp (backend stablediffusion-ggml). Partition: fl2va. DiT layout: unpruned. Format: Q4_K_M. This entry is the FL2VA partition: text-to-video, first-frame (I2VA) and first/last-frame (FL2VA) conditioning. It refuses reference conditioning (reference image or audio): that needs minimax-h3-ref2va-pruned-q4-ggml, which is a separate checkpoint. Render status: verified render (the stable-diffusion.cpp page shows a text-to-video and an image-to-video render with this file). Weights are the Q4_K_M quantisation of the DiT (~18.8 GB), the Qwen3-VL-32B MiniMax-H3 text encoder (~18 GB), the fp16 video VAE (~5 GB) and the fp32 audio VAE (~0.6 GB). MiniMax-H3 runs at 24 fps and the width and height are rounded up to a multiple of 32. The frame count is rounded up to the 17k + 5 grid.

Repository: localaiLicense: other

minimax-h3-fl2va-pruned-q4-ggml
MiniMax-H3 served by stable-diffusion.cpp. It generates video AND stereo audio jointly from a text prompt, so a clip comes back as an MP4 with a soundtrack. Muxing the finished frames needs ffmpeg on the host. Runtime: stable-diffusion.cpp (backend stablediffusion-ggml). Partition: fl2va. DiT layout: pruned. Format: Q4_K_M. This entry is the FL2VA partition: text-to-video, first-frame (I2VA) and first/last-frame (FL2VA) conditioning. It refuses reference conditioning (reference image or audio): that needs minimax-h3-ref2va-pruned-q4-ggml, which is a separate checkpoint. It is the smaller, pruned counterpart of minimax-h3-fl2va-unpruned-q4-ggml. Render status: rendered with stable-diffusion.cpp on CUDA (text-to-video, 512x288, 22 frames, with audio). Not yet rendered through LocalAI. Weights are the Q4_K_M quantisation of the DiT (~11.4 GB), the Qwen3-VL-32B MiniMax-H3 text encoder (~18 GB), the fp16 video VAE (~5 GB) and the fp32 audio VAE (~0.6 GB). MiniMax-H3 runs at 24 fps and the width and height are rounded up to a multiple of 32. The frame count is rounded up to the 17k + 5 grid.

Repository: localaiLicense: other

minimax-h3-ref2va-pruned-q4-ggml
MiniMax-H3 served by stable-diffusion.cpp. It generates video AND stereo audio jointly from a text prompt, so a clip comes back as an MP4 with a soundtrack. Muxing the finished frames needs ffmpeg on the host. Runtime: stable-diffusion.cpp (backend stablediffusion-ggml). Partition: ref2va. DiT layout: pruned. Format: Q4_K_M. This entry is the REF2VA partition, the one that takes REFERENCE conditioning: reference images, reference videos (a directory of frames, with an optional paired soundtrack) and reference audio steer the subject and the voice of the clip. It does not serve first/last-frame keyframes, and keyframes cannot be mixed with references. For plain text-to-video or keyframes use minimax-h3-fl2va-unpruned-q4-ggml. Render status: verified render (the stable-diffusion.cpp page shows a reference-to-video render with this file). Weights are the Q4_K_M quantisation of the DiT (~11.4 GB), the Qwen3-VL-32B MiniMax-H3 text encoder (~18 GB), the fp16 video VAE (~5 GB) and the fp32 audio VAE (~0.6 GB). MiniMax-H3 runs at 24 fps and the width and height are rounded up to a multiple of 32. The frame count is rounded up to the 17k + 5 grid.

Repository: localaiLicense: other

realesrgan-x4plus-anime-6b
RealESRGAN x4plus anime 6B is a six-block ESRGAN model for anime images, with a native 4x scale. Uses the official PyTorch .pth checkpoint through stable-diffusion.cpp, without conversion. Upscale-only: not a text-to-image model.

Repository: localaiLicense: BSD-3-Clause