Wan2GP (Wan for the GPU Poor) by deepbeepmeep is a free, open source app that runs the big open source video models, Wan 2.x, Hunyuan Video, LTX Video, FramePack-style generators and image models like Flux and Qwen Image, on ordinary consumer graphics cards. It does this with aggressive memory management and quantization, so a 12 GB card can generate clips that normally need 24 GB or more. The Gradio interface is a straightforward form: prompt, settings, generate.

Wan2GP is for anyone who wants local AI video without building ComfyUI graphs and without a top-end GPU. It is Windows and Linux only and expects you to be comfortable with a small amount of command line work (or to use Pinokio, which installs it in one click).

Tiada pemasangan diperlukan - jalankan model AI di awan

BitVector Prism ialah cara paling mudah untuk bermula: pilih model, taip prompt dan jana dalam aplikasi web yang bersih, tanpa apa-apa untuk dikonfigurasi. BitVector juga tersedia di Discord dan di web (SpyGlass).

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Apa yang anda perlukan

Windows 10 or 11 or Linux with an NVIDIA GPU: 6 GB VRAM for the smallest models, 12 GB for comfortable Wan 2.x work, 16 to 24 GB for high resolution and longer clips. 32 GB of system RAM is strongly recommended, since models are swapped to RAM. 50 GB or more of disk space for model downloads.

Cara mendapatkan dan memasang Wan2GP

Easiest: install Pinokio and pick Wan2GP from its Discover page; it installs everything with one click.
Manual: install Python 3.10 and Git, clone the GitHub repository, create a virtual environment and install PyTorch with CUDA (the README gives the exact commands).
Run pip install -r requirements.txt in the virtual environment. Optional speed-ups like SageAttention are explained in the README.
Start it with python wgp.py. The browser opens on the Gradio page; the model you pick is downloaded automatically from Hugging Face on first use.
Add --profile to choose a memory profile for your card, or pick it in the interface configuration tab afterwards.

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Tiada pemasangan diperlukan - jalankan model AI di awan

PirateDiffusion hanya di Telegram dan dibina untuk profesional: beribu-ribu model, LoRA dan aliran kerja yang dipacu oleh arahan sembang, dengan penjanaan tanpa had pada pelan harga tetap.

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Cara menggunakan Wan2GP

Choose a model at the top: Wan 2.x text to video, image to video, Hunyuan Video, LTX Video, or an image model such as Flux or Qwen Image.
Write your prompt (and a negative prompt), set the resolution, number of frames and steps. Start small: 480p, 49 frames, 20 to 30 steps.
For image to video, upload a start image; the model animates it following the prompt.
Add LoRAs from the LoRA section (put the files in the loras folder for your model type) and set their multipliers; include the trigger words from the model page.
Press Generate and watch the progress; clips are saved in the outputs folder and shown in the gallery when done. Queue several prompts and let them run.

Petua dan masalah biasa

Choose a lower memory profile if you get out of memory errors; profile 4 or 5 trades speed for lower VRAM.
Distilled or step-accelerated LoRAs (CausVid, LightX2V, FusionX) cut generation to 4 to 8 steps and are the biggest speed win on small cards.
TeaCache and Skip Layer Guidance options speed things up with little quality loss; try them once your settings work.
Keep the project updated with git pull; new models arrive almost weekly.

Model yang boleh dijalankan dalam Wan2GP

Wan2GP runs the Wan, Hunyuan and LTX video models in this catalog and their LoRAs, plus Flux and Qwen Image for still pictures.

Tiada pemasangan diperlukan - jalankan model AI di awan

Tiada GPU, tiada muat turun, tiada Python. Perkhidmatan ini menjalankan model sumber terbuka yang sama pada pelayan mereka sendiri, jadi anda boleh mula menjana dari pelayar, Discord atau Telegram dalam seminit.

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Pautan

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Cara memasang ComfyUI

The node-based powerhouse for Stable Diffusion, Flux, Wan video and almost every new open source model. Free, open source, for Windows, Mac and Linux.