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313 models · 7 new in 60d

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PinkCherry_MiniMax H3NewOpen
SexGod1979 · self-host
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Best for: Trending on HuggingFace (299 likes this week)
How: Available on Hugging Face.
Example: from transformers import AutoModelForCausalLM; model = AutoModelForCausalLM.from_pretrained("SexGod1979/PinkCherry_MiniMax-H3")
transformersminimax-h3text-to-videolicense:apache-2.0endpoints_compatible
API: huggingface.co/SexGod1979/PinkCherry_MiniMax-H3
Auto-discovered from HuggingFace trending. 299 likes, 324 downloads.
Minimax H3 TurboNewOpen
lightx2v · self-host
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Best for: Trending on HuggingFace (495 likes this week)
How: Available on Hugging Face. 150K downloads.
Example: from transformers import AutoModelForCausalLM; model = AutoModelForCausalLM.from_pretrained("lightx2v/Minimax-h3-Turbo")
diffuserst2vi2vr2vimage-to-video
API: huggingface.co/lightx2v/Minimax-h3-Turbo
Auto-discovered from HuggingFace trending. 495 likes, 150K downloads.
MiniMax H3 Turbo Lora ComfyUINewOpen
drbaph · self-host
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Best for: Trending on HuggingFace (307 likes this week)
How: Available on Hugging Face.
Example: from transformers import AutoModelForCausalLM; model = AutoModelForCausalLM.from_pretrained("drbaph/MiniMax-H3-Turbo-Lora-ComfyUI")
minimax-h3loraadaptercomfyuipruned-model
API: huggingface.co/drbaph/MiniMax-H3-Turbo-Lora-ComfyUI
Auto-discovered from HuggingFace trending. 307 likes, 0 downloads.
MiniMax H3 Turbo LoraNewOpen
larryvrh · self-host
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Best for: Trending on HuggingFace (745 likes this week)
How: Available on Hugging Face.
Example: from transformers import AutoModelForCausalLM; model = AutoModelForCausalLM.from_pretrained("larryvrh/MiniMax-H3-Turbo-Lora")
text-to-videotext-to-audioaudio-videoloraminimax-h3
API: huggingface.co/larryvrh/MiniMax-H3-Turbo-Lora
Auto-discovered from HuggingFace trending. 745 likes, 0 downloads.
LTX 2.5NewOpen
Lightricks · self-host
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Best for: Trending on HuggingFace (869 likes this week)
How: Available on Hugging Face. 208K downloads.
Example: from transformers import AutoModelForCausalLM; model = AutoModelForCausalLM.from_pretrained("Lightricks/LTX-2.5")
diffusion-single-fileimage-to-videotext-to-videovideo-to-videoimage-text-to-video
API: huggingface.co/Lightricks/LTX-2.5
Auto-discovered from HuggingFace trending. 869 likes, 208K downloads.
Wan Dancer 14BNewOpen
Wan-AI · self-host
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Best for: Trending on HuggingFace (145 likes this week)
How: Available on Hugging Face.
Example: from transformers import AutoModelForCausalLM; model = AutoModelForCausalLM.from_pretrained("Wan-AI/Wan-Dancer-14B")
diffuserssafetensorsi2vvideovideo genration
API: huggingface.co/Wan-AI/Wan-Dancer-14B
Auto-discovered from HuggingFace trending. 145 likes, 2K downloads.
LTX Best Face IDNewOpen
Alissonerdx · self-host
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Best for: Trending on HuggingFace (127 likes this week)
How: Available on Hugging Face.
Example: from transformers import AutoModelForCausalLM; model = AutoModelForCausalLM.from_pretrained("Alissonerdx/LTX-Best-Face-ID")
ltx-videoidentity-preservationipt2vreference-to-videolora
API: huggingface.co/Alissonerdx/LTX-Best-Face-ID
Auto-discovered from HuggingFace trending. 127 likes, 0 downloads.
Wan 2.2Open
Alibaba · N/A · self-host
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Best for: Best-in-class open-source video. The 5B variant runs on a single 24GB consumer card.
How: ComfyUI nodes ship official support. Or `python generate.py --task t2v-A14B --prompt '...'` from the WanX repo.
Example: python generate.py --task t2v-A14B --prompt 'a corgi running on the beach at sunset' --resolution 720P
MoE video architectureopen weightsT2V + I2V5B small variant for consumer GPUs720p output
Hardware to self-host
VRAM: 24GB (5B variant) / 80GB (A14B)
GPU: RTX 4090 for 5B · H100 for A14B
RAM: 32–64GB system RAM
5B model fits a single 4090. A14B MoE delivers Sora-class quality but needs an H100 or 2× 4090 with offload.
API: huggingface.co/Wan-AI/Wan2.2-T2V-A14B · Wan-AI/Wan2.2-T2V-5B
Step-Video-T2VOpen
StepFun · N/A · self-host
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Best for: Highest-quality open-source video model when you have the hardware to run it.
How: Clone stepfun-ai/Step-Video-T2V repo, install requirements, run sample.py with your prompt.
Example: python sample_video.py --prompt 'underwater coral reef, schools of fish' --num-frames 204 --resolution 544x992
30B paramsMIT licensecompetitive with Sora-class qualitydeep compression video VAE
Hardware to self-host
VRAM: 80GB (FP16) / 40GB (FP8)
GPU: H100 80GB · or 2× A100 40GB · or A100 40GB with FP8
RAM: 128GB system RAM
30B is genuinely heavy but the MIT license + quality tradeoff is uniquely permissive in the open-source video space.
API: huggingface.co/stepfun-ai/stepvideo-t2v
HunyuanVideoOpen
Tencent · N/A · self-host
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Best for: Self-hosted video generation, research, building custom pipelines.
How: Clone repo, install diffusers, run sample.py with your prompt. Or use ComfyUI workflows.
Example: python sample_video.py --prompt 'a cat surfing at sunset' --video-length 129 --infer-steps 50
fully open weights13B paramscompetitive qualityfine-tunable
Hardware to self-host
VRAM: 60GB
GPU: H100 80GB or 2× RTX 4090 (with offload)
RAM: 64GB system RAM
Quantized to 8-bit fits on a single A100 40GB. Comfy workflows offload UNet to CPU at the cost of speed.
API: huggingface.co/tencent/HunyuanVideo
LTX-VideoOpen
Lightricks · N/A · self-host
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Best for: When you need quick turnaround — prototypes, drafts, dataset generation. Speed-first open-source video.
How: diffusers LTXPipeline. Generates a 5-second 768×512 clip in seconds on an H100; a few minutes on a 4090.
Example: from diffusers import LTXPipeline; pipe = LTXPipeline.from_pretrained('Lightricks/LTX-Video'); pipe(prompt='falling autumn leaves').frames
real-time generation on H1002B params (small footprint)fast iteration loop13B variant for higher quality
Hardware to self-host
VRAM: 12GB (2B) / 24GB (13B)
GPU: RTX 3090 / 4090 for 2B · H100 for 13B
RAM: 32GB system RAM
Smallest/fastest of the open-source video models — great for iterating on prompts before committing GPU time to bigger models.
API: huggingface.co/Lightricks/LTX-Video · Lightricks/LTX-Video-13B
Mochi 1Open
Genmo · N/A · self-host
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Best for: Open-source video where commercial use matters — the Apache 2.0 license is unrestricted.
How: Diffusers pipeline or the official genmoai/models repo. ComfyUI workflows are well-documented.
Example: python -m mochi_preview.cli --prompt 'time lapse of a city street at golden hour' --num-frames 84
Apache 2.0 (commercial-friendly)10B paramshigh motion fidelityactive community fine-tunes
Hardware to self-host
VRAM: 60GB (full precision) / 24GB with quantization
GPU: H100 80GB · or RTX 4090 with FP8 quant + offload
RAM: 64GB system RAM
Memory-hungry at full precision but FP8 / GGUF quants from the community fit a single 4090.
API: huggingface.co/genmo/mochi-1-preview
CogVideoX-5BOpen
THUDM / Zhipu AI · N/A · self-host
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Best for: Pioneer open-source T2V — solid baseline for self-hosted experimentation and fine-tuning.
How: pip install diffusers; CogVideoXPipeline.from_pretrained('THUDM/CogVideoX-5b') and run with a text prompt.
Example: from diffusers import CogVideoXPipeline; pipe = CogVideoXPipeline.from_pretrained('THUDM/CogVideoX-5b'); pipe(prompt='a panda playing piano').frames
fully open weights5B paramsfits on a single 24GB carddiffusers integration
Hardware to self-host
VRAM: 18GB (with CPU offload) / 24GB native
GPU: RTX 4090 24GB
RAM: 32GB system RAM
Quantized + offload tricks let it run on 12GB. Slower than newer entries but the most fine-tuned-on open video model.
API: huggingface.co/THUDM/CogVideoX-5b
NVIDIA NeMo AutomodelOpen
NVIDIA · N/A · self-host
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Best for: Efficiently fine-tuning and generating video and image models
How: Use NVIDIA NeMo Automodel in conjunction with 🤗 Diffusers for model fine-tuning and generation
Example: Fine-tune a video model using NVIDIA NeMo Automodel and generate images with 🤗 Diffusers
Fine-tuning video and image models at scaleIntegration with 🤗 Diffusers
Auto-discovered from news articles.
LTX 2.3 3DREAL LoRAOpen
fal · self-host
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Best for: Trending on HuggingFace (145 likes this week)
How: Available on Hugging Face.
Example: from transformers import AutoModelForCausalLM; model = AutoModelForCausalLM.from_pretrained("fal/LTX-2.3-3DREAL-LoRA")
loraic-loraltxltx-videoltx-2.3
API: huggingface.co/fal/LTX-2.3-3DREAL-LoRA
Auto-discovered from HuggingFace trending. 145 likes, 0 downloads.
SCAIL 2Open
zai-org · self-host
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Best for: Trending on HuggingFace (223 likes this week)
How: Available on Hugging Face.
Example: from transformers import AutoModelForCausalLM; model = AutoModelForCausalLM.from_pretrained("zai-org/SCAIL-2")
diffuserscharacter-animationvideo-generationpose-drivendiffusion
API: huggingface.co/zai-org/SCAIL-2
Auto-discovered from HuggingFace trending. 223 likes, 0 downloads.
SANA WM_bidirectionalOpen
Efficient-Large-Model · self-host
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Best for: Trending on HuggingFace (86 likes this week)
How: Available on Hugging Face.
Example: from transformers import AutoModelForCausalLM; model = AutoModelForCausalLM.from_pretrained("Efficient-Large-Model/SANA-WM_bidirectional")
diffuserssafetensorstext-to-videoimage-to-videocamera-control
API: huggingface.co/Efficient-Large-Model/SANA-WM_bidirectional
Auto-discovered from HuggingFace trending. 86 likes, 0 downloads.
LTX 2.3 WorkflowsOpen
RuneXX · self-host
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Best for: Trending on HuggingFace (564 likes this week)
How: Available on Hugging Face.
Example: from transformers import AutoModelForCausalLM; model = AutoModelForCausalLM.from_pretrained("RuneXX/LTX-2.3-Workflows")
ltxltx-2comfyuicomfygguf
API: huggingface.co/RuneXX/LTX-2.3-Workflows
Auto-discovered from HuggingFace trending. 564 likes, 0 downloads.
Sulphur 2 BaseOpen
SulphurAI · self-host
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Best for: Trending on HuggingFace (1537 likes this week)
How: Available on Hugging Face. 1666K downloads.
Example: from transformers import AutoModelForCausalLM; model = AutoModelForCausalLM.from_pretrained("SulphurAI/Sulphur-2-base")
diffusersgguftext-to-videobase_model:Lightricks/LTX-2.3base_model:quantized:Lightricks/LTX-2.3
API: huggingface.co/SulphurAI/Sulphur-2-base
Auto-discovered from HuggingFace trending. 1537 likes, 1.7M downloads.
LTX2.3 10ErosOpen
TenStrip · self-host
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Best for: Trending on HuggingFace (281 likes this week)
How: Available on Hugging Face. 136K downloads.
Example: from transformers import AutoModelForCausalLM; model = AutoModelForCausalLM.from_pretrained("TenStrip/LTX2.3-10Eros")
diffusersimage-to-videoregion:us
API: huggingface.co/TenStrip/LTX2.3-10Eros
Auto-discovered from HuggingFace trending. 281 likes, 136K downloads.