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Open-weight model · Image to video

hunyuan-npu-models

by Jiang Feng Zheng Ba JiangFeng12/hunyuan-npu-models

hunyuan-npu-models is an open-weight model for image to video from Jiang Feng Zheng Ba, released under other. Its published files total 55.4 GB.

Modelos y app de Hunyuan NPU: generar vídeo con HunyuanVideo 1.5 y FastHunyuan 13B en local, en la NPU Hexagon v81 de los Snapdragon 8 Elite (Gen 5) — probado en un Nubia Z80 Ultra —, con stable-diffusion.cpp + ggml-hexagon.

Parameters—
Context—
Weights54.9 GB
Licenseother
AccessOpen weights
Monthly Downloads—

Model Card

Modelos y app de Hunyuan NPU: generar vídeo con HunyuanVideo 1.5 y FastHunyuan 13B en local, en la NPU Hexagon v81 de los Snapdragon 8 Elite (Gen 5) — probado en un Nubia Z80 Ultra —, con stable-diffusion.cpp + ggml-hexagon. Proyecto personal, no comercial, hecho con mucho cariño y poca paciencia. Este proyecto no pretende competir con Nightmare Mobile de AbrahamPaulJ, que es la referencia para generar imagen y vídeo en la NPU de los Snapdragon, ni con Local Dream (xororz). Al contrario: sin ellos esto no existiría. El motor DiT viene de Local Dream, con parches de Nightmare Mobile, y todo corre sobre el Todo el mérito del trabajo duro es suyo; aquí sólo hemos atornillado HunyuanVideo…

Excerpt from the card by Jiang Feng Zheng Ba, licensed other.

Identity and Version

Repository
JiangFeng12/hunyuan-npu-models
Publisher
Jiang Feng Zheng Ba
Task
Image to video
Modality
Other
Library
Not stated by the source
Parameters
Not stated by the source
Languages
es
Revision
d36ad19baa6ba4e108d39092aed340860d98d28b
First published
2026-10-16
Last updated
2026-10-17

Files and Weights

216 files, 55.4 GB in total. The weights are 16 files totalling 54.9 GB in gguf, safetensors.

Weights16 files · 54.9 GB
Configuration45 files · 187.5 KB
Documentation22 files · 252.3 KB
Other129 files · 563.8 MB
Repository4 files · 3.6 KB
Every file
FileTypeSizeSHA-256
hv13b/dit/fast-hunyuan-13b-t2v-hnpu-iq4_nl.ggufWeights7.7 GB 92b23b308b6e
hv13b/dit/fast-hunyuan-13b-t2v-hnpu-q4_0.ggufWeights7.7 GB 88186fd5c09a
hv13b/lora/hv13b_animeshots_v0.1.safetensorsWeights322.5 MB 55eaaaea0420
hv13b/text_encoder/Llama-3-LLaVA-8B-hv13b-te-hnpu-iq4_nl.ggufWeights4.5 GB e00610841b6f
hv13b/text_encoder/Llama-3-LLaVA-8B-hv13b-te-hnpu-q4_0.ggufWeights4.5 GB 001911f969ce
hv13b/text_encoder/clip_l.safetensorsWeights246.1 MB 660c6f5b1aba
hv13b/vae/taehv.safetensorsWeights22.6 MB 032ad4ddc689
hv15/dit/hunyuanvideo1.5_480p_i2v_step_distilled-iq4_nl.ggufWeights4.9 GB ed2fb7e4c9e6
hv15/dit/hunyuanvideo1.5_480p_i2v_step_distilled-q4_0.ggufWeights4.9 GB d56a41a7126a
hv15/dit/hunyuanvideo1.5_480p_t2v_cfg_distilled-iq4_nl.ggufWeights4.9 GB 8e838daf3792
hv15/dit/hunyuanvideo1.5_480p_t2v_cfg_distilled-q4_0.ggufWeights4.9 GB 61437649db01
hv15/lora/hunyuanvideo1.5_t2v_480p_lightx2v_4step_lora_rank_32_bf16.safetensorsWeights341.1 MB 8fef6f9b9f2f
hv15/text_encoder/Qwen_Qwen2.5-VL-7B-Instruct-Q4_0.ggufWeights4.4 GB ce54f09487ed
hv15/text_encoder/byt5_small_glyphxl_fp16.safetensorsWeights438.6 MB 516910bb4c9b
hv15/text_encoder/qwen2.5-vl-7b-hnpu-iq4_nl.ggufWeights4.9 GB 09182981b3b4
hv15/vae/taehv1_5.safetensorsWeights22.8 MB b52e245bb86c
hv13b/lora/hv13b_animeshots_v0.1.adapter_config.jsonConfiguration921 B —
source/hunyuan-npu/converter/hnpu_convert.pyConfiguration468 B —
source/hunyuan-npu/converter/hnpu_converter/__init__.pyConfiguration218 B —
source/hunyuan-npu/converter/hnpu_converter/__main__.pyConfiguration162 B —
source/hunyuan-npu/converter/hnpu_converter/cli.pyConfiguration2.7 KB —
source/hunyuan-npu/converter/hnpu_converter/convert.pyConfiguration11.1 KB —
source/hunyuan-npu/converter/hnpu_converter/ggml_types.pyConfiguration548 B —
source/hunyuan-npu/converter/hnpu_converter/gui.pyConfiguration14.2 KB —
source/hunyuan-npu/converter/hnpu_converter/layout.pyConfiguration9.6 KB —
source/hunyuan-npu/converter/hnpu_converter/maps/hv13b_diffusers.jsonConfiguration12.8 KB —
source/hunyuan-npu/converter/hnpu_converter/maps/hv15_diffusers.jsonConfiguration12.0 KB —
source/hunyuan-npu/converter/hnpu_converter/quant.pyConfiguration2.5 KB —
source/hunyuan-npu/converter/hnpu_converter/readers.pyConfiguration11.9 KB —
source/hunyuan-npu/converter/hnpu_converter/smoke.pyConfiguration2.6 KB —
source/hunyuan-npu/converter/tests/compare_gguf.pyConfiguration1.9 KB —
source/hunyuan-npu/converter/tests/fetch_subset.pyConfiguration1.6 KB —
source/hunyuan-npu/converter/tests/gui_smoke.pyConfiguration1.2 KB —
source/hunyuan-npu/converter/tests/make_variants.pyConfiguration3.1 KB —
source/hunyuan-npu/converter/tests/smoke.example.jsonConfiguration585 B —
source/hunyuan-npu/forja/core/src/main/resources/hnpu_maps/hv13b_diffusers.jsonConfiguration12.8 KB —
source/hunyuan-npu/forja/core/src/main/resources/hnpu_maps/hv15_diffusers.jsonConfiguration12.0 KB —
source/hunyuan-npu/forja/tests/arm64_crosscheck.pyConfiguration1.5 KB —
source/hunyuan-npu/forja/tests/make_suite.pyConfiguration8.4 KB —
source/hunyuan-npu/scripts/fix_1d_gguf.pyConfiguration2.5 KB —
source/hunyuan-npu/scripts/fix_5d_gguf.pyConfiguration1.7 KB —
source/hunyuan-npu/scripts/hf_upload_020_public.pyConfiguration1.6 KB —
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source/hunyuan-npu/scripts/hf_upload_apk.pyConfiguration776 B —
source/hunyuan-npu/scripts/hf_upload_apk011.pyConfiguration899 B —
source/hunyuan-npu/scripts/hf_upload_forja.pyConfiguration1.4 KB —
source/hunyuan-npu/scripts/hf_upload_source.pyConfiguration928 B —
source/hunyuan-npu/scripts/stream_convert_hv13b.pyConfiguration5.0 KB —
source/hunyuan-npu/tools/gen_catalog.pyConfiguration1.0 KB —
source/hunyuan-npu/tools/gen_diffusers_maps.pyConfiguration4.4 KB —
source/hunyuan-npu/tools/gen_llama3_vocab.pyConfiguration1.3 KB —
source/hunyuan-npu/tools/gen_readme.pyConfiguration25.9 KB —
source/hunyuan-npu/tools/ref/gguf_truncate_blocks.pyConfiguration1.0 KB —
source/hunyuan-npu/tools/ref/hv13b_dit_ref.pyConfiguration1.6 KB —
source/hunyuan-npu/tools/ref/hv13b_te_ref.pyConfiguration2.9 KB —
source/hunyuan-npu/tools/ref/llama3_tok_cmp.pyConfiguration1.4 KB —
LICENSEDocumentation16.4 KB —
README.mdDocumentation30.9 KB —
converter/README.mdDocumentation4.2 KB —
licenses/META_LLAMA_3_LICENSE.txtDocumentation12.4 KB —
licenses/OPENAI_CLIP_MIT_LICENSE.txtDocumentation1.1 KB —
licenses/TAEHV_MIT_LICENSE.txtDocumentation1.1 KB —
licenses/TENCENT_HUNYUAN_VIDEO_1.5_LICENSE.txtDocumentation16.4 KB —
licenses/TENCENT_HUNYUAN_VIDEO_LICENSE.txtDocumentation15.3 KB —
source/hunyuan-npu/LICENSEDocumentation6.0 KB —
source/hunyuan-npu/LICENSES/PolyForm-Noncommercial-1.0.0.mdDocumentation4.6 KB —
source/hunyuan-npu/NOTICE.mdDocumentation2.3 KB —
source/hunyuan-npu/README.mdDocumentation22.4 KB —
source/hunyuan-npu/converter/README.mdDocumentation4.2 KB —
source/hunyuan-npu/docs/ANDROID_CONVERTER_DESIGN.mdDocumentation4.0 KB —
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source/hunyuan-npu/docs/PROGRESS.mdDocumentation38.3 KB —
source/hunyuan-npu/docs/hf_README.mdDocumentation30.9 KB —
source/hunyuan-npu/docs/hf_README_base.mdDocumentation9.1 KB —
source/hunyuan-npu/docs/readme_sections.mdDocumentation18.5 KB —
source/hunyuan-npu/engine/LICENSE.mdDocumentation559 B —
source/hunyuan-npu/forja/README.mdDocumentation4.1 KB —
source/hunyuan-npu/patches/README.mdDocumentation4.5 KB —
apk/hunyuan-npu-0.1.0-release.apkOther48.9 MB dfc51e862fd0
apk/hunyuan-npu-0.1.1-release.apkOther46.8 MB 7d0221590b02
apk/hunyuan-npu-0.2.0-release.apkOther46.8 MB 478bdfd103ff
apk/hunyuan-npu-0.2.1-release.apkOther46.9 MB 23eb2d7714e4
apk/hunyuan-npu-0.2.2-release.apkOther46.9 MB 82a99ad3f364
apk/hunyuan-npu-0.2.3-release.apkOther47.0 MB 9fd6c8d340d5
apk/hunyuan-npu-0.2.4-release.apkOther47.0 MB a314a1acf6e7
apk/hunyuan-npu-0.2.5-release.apkOther47.1 MB 825463e49f94
apk/hunyuan-npu-0.2.6-release.apkOther47.2 MB 6f2f79f7c607
apk/hunyuan-npu-forja-0.1.0-release.apkOther21.7 MB 5c9680ab389c
converter/SHA256SUMSOther176 B —
converter/linux/hnpu-convertOther75.8 MB f65ef65af722
converter/windows/hnpu-convert.exeOther38.6 MB d5b779131a42
licenses/ANIMESHOTS_LORA_MIT.txtOther1.2 KB —
licenses/APACHE-2.0.txtOther11.4 KB —
licenses/FASTHUNYUAN_NOTICE.txtOther19.0 KB —
source/hunyuan-npu-src-0.2.0-forja-0.1.0.tar.gzOther285.9 KB d5c0983c0321
source/hunyuan-npu-src-0.2.0-forja-0.1.0.tar.gz.sha256Other107 B c32851870c70
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source/hunyuan-npu-src-0.2.1-forja-0.1.0.tar.gzOther296.4 KB 5b5ddb6d9a9c
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source/hunyuan-npu-src-0.2.3-forja-0.1.0.tar.gzOther322.3 KB 48d005c435e5
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source/hunyuan-npu-src-0.2.4-forja-0.1.0.tar.gzOther337.0 KB a13d3c2dd66f
source/hunyuan-npu-src-0.2.4-forja-0.1.0.tar.gz.sha256Other107 B 1723c88c5587
source/hunyuan-npu-src-0.2.5-forja-0.1.0.tar.gzOther359.5 KB e501695e11eb
source/hunyuan-npu-src-0.2.5-forja-0.1.0.tar.gz.sha256Other107 B 18ef5cd3f569
source/hunyuan-npu-src-0.2.6-forja-0.1.0.tar.gzOther367.2 KB 8a6e3e4036a6
source/hunyuan-npu-src-0.2.6-forja-0.1.0.tar.gz.sha256Other107 B 9f4a0fa57c87
source/hunyuan-npu/LICENSES/CC-BY-NC-4.0.txtOther19.3 KB —
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source/hunyuan-npu/LICENSES/MIT-stable-diffusion.cpp.txtOther1.1 KB —
source/hunyuan-npu/LICENSES/NOTICE-nightmare-mobile.txtOther16.3 KB —
source/hunyuan-npu/android/app/build.gradle.ktsOther4.3 KB —
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source/hunyuan-npu/android/app/src/main/java/com/hunyuannpu/AppState.ktOther3.6 KB —
source/hunyuan-npu/android/app/src/main/java/com/hunyuannpu/Catalog.ktOther2.8 KB —
source/hunyuan-npu/android/app/src/main/java/com/hunyuannpu/CustomModels.ktOther4.5 KB —
source/hunyuan-npu/android/app/src/main/java/com/hunyuannpu/CustomModelsUi.ktOther13.6 KB —
source/hunyuan-npu/android/app/src/main/java/com/hunyuannpu/Engine.ktOther5.4 KB —
source/hunyuan-npu/android/app/src/main/java/com/hunyuannpu/Form.ktOther3.4 KB —
source/hunyuan-npu/android/app/src/main/java/com/hunyuannpu/GenerationService.ktOther22.4 KB —
source/hunyuan-npu/android/app/src/main/java/com/hunyuannpu/Hash.ktOther1.6 KB —
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source/hunyuan-npu/android/app/src/main/java/com/hunyuannpu/LorasScreen.ktOther8.7 KB —
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source/hunyuan-npu/android/app/src/main/java/com/hunyuannpu/ModelInspect.ktOther9.9 KB —
source/hunyuan-npu/android/app/src/main/java/com/hunyuannpu/Models.ktOther7.0 KB —
source/hunyuan-npu/android/app/src/main/java/com/hunyuannpu/Mp4Writer.ktOther3.9 KB —
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source/hunyuan-npu/converter/build_linux.shOther513 B —
source/hunyuan-npu/converter/build_windows.batOther409 B —
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source/hunyuan-npu/converter/native/build.shOther2.4 KB —
source/hunyuan-npu/converter/native/shim.cOther826 B —
source/hunyuan-npu/docs/hf_sha256.txtOther1.9 KB —
source/hunyuan-npu/engine/dit/CMakeLists.txtOther4.6 KB —
source/hunyuan-npu/engine/dit/DitEngine.cppOther24.4 KB —
source/hunyuan-npu/engine/dit/build.shOther2.6 KB —
source/hunyuan-npu/engine/dit/dit_engine.mapOther325 B —
source/hunyuan-npu/engine/dit/ggml.patchOther877 B —
source/hunyuan-npu/engine/dit/stable-diffusion.cpp.patchOther5.7 KB —
source/hunyuan-npu/engine/include/DitEngine.hOther10.9 KB —
source/hunyuan-npu/engine/runner/hnpu_runner.cppOther15.1 KB —
source/hunyuan-npu/forja/app/build.gradle.ktsOther3.0 KB —
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source/hunyuan-npu/forja/native/dlstub.cOther182 B —
source/hunyuan-npu/forja/native/hnpu_conv.cOther7.5 KB —
source/hunyuan-npu/forja/settings.gradle.ktsOther378 B —
source/hunyuan-npu/forja/tests/compare_desktop.shOther1.5 KB —
source/hunyuan-npu/patches/018-nightmare-vae-temporal-tile-cut.sdcpp.patchOther3.0 KB —
source/hunyuan-npu/patches/024-nightmare-taehv-chunked-encode.sdcpp.patchOther8.1 KB —
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source/hunyuan-npu/patches/103-hunyuan-video-13b-prototype.sdcpp.patchOther5.3 KB —
source/hunyuan-npu/patches/104-hunyuan-video-13b-text-encoder.sdcpp.patchOther58.2 KB —
source/hunyuan-npu/patches/105-hunyuan-htp-taehv-per-frame-conv-and-diagnostics.sdcpp.patchOther12.1 KB —
source/hunyuan-npu/patches/106-hunyuan-dit-f16-safe-down-projections-and-act-stats.sdcpp.patchOther10.7 KB —
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source/hunyuan-npu/patches/108-hunyuan-segment-planner-resident-lora-progress.sdcpp.patchOther19.3 KB —
source/hunyuan-npu/scripts/build-android.shOther1.5 KB —
source/hunyuan-npu/scripts/build-host.shOther392 B —
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source/hunyuan-npu/scripts/make-release-key.shOther794 B —
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source/hunyuan-npu/scripts/run_hv13b_host.shOther786 B —
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source/hunyuan-npu/tools/ref/llama3_tok_test.cppOther1.1 KB —
.gitattributesRepository3.3 KB —
source/hunyuan-npu/.gitignoreRepository150 B —
source/hunyuan-npu/converter/.gitignoreRepository39 B —
source/hunyuan-npu/forja/.gitignoreRepository94 B —

License and Download

License
other
Access
Open weights, no gate
Download size
54.9 GB
Download from Jiang Feng Zheng Ba

Released by Jiang Feng Zheng Ba through its official repository on Hugging Face.

Memory Requirements

PrecisionWeights in memory
As published54.9 GB

Weights only, from the published parameter count; the key-value cache and runtime add to this.

Questions About hunyuan-npu-models

What license is hunyuan-npu-models released under?

other, as its publisher declares it. Read the license text before commercial use.

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Wan_2.2_ComfyUI_Repackaged

Comfy Org

Repackaged model files for ComfyUI. - https://huggingface.co/nvidia/ChronoEdit-14B-Diffusers - https://huggingface.co/Wan-AI/Wan2.2-Animate-14B - https://huggingface.co/alibaba-pai/Wan2.2-Fun-A14B-Control-Camera - https://huggingface.co/alibaba-pai/Wan2.2-Fun-A14B-Control - https://huggingface.co/alibaba-pai/Wan2.2-Fun-5B-Control - https://huggingface.co/alibaba-pai/Wan2.2-Fun-5B-InP - https://huggingface.co/alibaba-pai/Wan2.2-Fun-A14B-InP - https://huggingface.co/alibaba-pai/Wan2.2-VACE-Fun-A14B - https://huggingface.co/Wan-AI/Wan2.2-I2V-A14B - https://huggingface.co/Wan-AI/Wan2.2-S2V-14B - https://huggingface.co/Wan-AI/Wan2.2-T2V-A14B - https://huggingface.co/Wan-AI/Wan2.2-TI2V-5B…

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LTX-2.5

LTX.io

LTX-2.5 is an open world model with open weights, built for local execution and fine-tuning. Its established use is generating synchronized, high-fidelity video and audio from text, image, and video inputs; applicability to emerging domains such as robotics and physical AI is developing. Full control and customization — self-host on your own infrastructure. No per-generation billing, no per-seat lock-in, no forced API dependency. Revenue is measured across the whole entity, including subsidiaries and affiliates under common control. The full, binding terms live in LICENSE. - Native multishot generation — generate connected scenes in a single pass: multiple shots that hold character…

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LTX-2.5

Comfyicu

LTX-2.5 is an open world model with open weights, built for local execution and fine-tuning. Its established use is generating synchronized, high-fidelity video and audio from text, image, and video inputs; applicability to emerging domains such as robotics and physical AI is developing. Full control and customization — self-host on your own infrastructure. No per-generation billing, no per-seat lock-in, no forced API dependency. Revenue is measured across the whole entity, including subsidiaries and affiliates under common control. The full, binding terms live in LICENSE. - Native multishot generation — generate connected scenes in a single pass: multiple shots that hold character…

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Minimax-h3-Turbo

Lightx2v

Please check our repository or the LightX2V MiniMax-H3 examples to reproduce the results. Please check the model specifications for more details. Try the MiniMax-H3 Turbo LoRA directly in LightX2V Studio: The Studio currently uses the FL2V 8-step v1.0 768p LoRA, which provides improved video and audio generation quality with 8-step inference. Integrate MiniMax-H3 Turbo into your application through the LightX2V API

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MiniMax-H3-GGUF

Jay

This repository (Abiray/MiniMax-H3-GGUF) provides GGUF quantized versions and necessary component files for the MiniMax H3 model. MiniMax H3 is a general-purpose, omni-modal generative system that supports unified understanding of multimodal contexts composed of text, images, video, and audio. It can generate video with native stereo audio at resolutions up to 2K and durations of up to 15 seconds. If you are looking for a smaller model with the same great quality that fits better on consumer-tier GPUs, please check out the MiniMax-H3-Pruned-GGUF repository. The pruned architecture is compressed down to 8.9 GB – 21.6 GB, bringing MiniMax H3 execution directly to consumer hardware. This…

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LTX-2.3

LTX.io

This model card focuses on the LTX-2.3 model, which is a significant update to the LTX-2 model with improved audio and visual quality as well as enhanced prompt adherence. LTX-2 was presented in the paper LTX-2: Efficient Joint Audio-Visual Foundation Model. If you want to dive in right to the code - it is available here. LTX-2.3 is a DiT-based audio-video foundation model designed to generate synchronized video and audio within a single model. It brings together the core building blocks of modern video generation, with open weights and a focus on practical, local execution. LTX-2.3 is accessible right away via the API Playground. You can use the models - full, distilled, upscalers and any…

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