LOADING DATASHEET
LOADING DATASHEET
by Gdhe17
RANKED #24 OF 31 VIDEO · OVERALL #379 OF 494 RANKED · VIBE SCORE 5.6 · 42 VOICES ·
COPY BADGE pastes a README snippet with the rank SVG.
Self-Forcing on Hugging Face (text to video). 8,406 downloads. Open weights for local or hosted use.
9 mentions
2 mentions
26 weeks · 2 voices in this window
TOO QUIET
Not enough weekly voices to call a trend yet.
Open weights. You can use a hosted service, or download it and run it yourself, free.
Open weights: download Self Forcing once and it's yours. No subscription, no rate limits, works offline.
1.3B parameters, base Wan2.1 checkpoint plus Self-Forcing DMD weights total around 6 GB
Nvidia RTX 4060 Ti 16GB
16 GB VRAM
~$450 NEWFP8 quant or offloading with small frame batches, ~3.0 s/video-sec
Nvidia RTX 4090 24GB
24 GB VRAM
~$1750 USEDFull FP16 streaming inference at 480p with torch.compile, ~0.6 s/video-sec
Nvidia RTX 6000 Ada 48GB
48 GB VRAM
~$6800 NEWFull FP16 multi-second continuous rollouts with zero bottlenecking, ~0.4 s/video-sec
The three cards above are researched picks. Search the machine you actually have — we only say yes if it should reply at a usable speed, not just load the weights and crawl.
HARDWARE PICKS & PRICES ARE RESEARCHED FROM THE LIVE WEB AND REFRESHED AUTOMATICALLY. TREAT THEM AS BALLPARK, NOT GOSPEL.
Everyday jobs on each of those rigs: how long Self Forcing takes, and how good the crowd says it is at that kind of work.
| THE JOB | BARE MINIMUMNvidia RTX 4060 Ti 16GB | SWEET SPOTNvidia RTX 4090 24GB | FULL POWERNvidia RTX 6000 Ada 48GB |
|---|---|---|---|
| Make a video clipfive seconds of footage | ~15 S★★★★★ | ~3 S★★★★★ | ~2 S★★★★★ |
STARS ARE THE COMMUNITY SCORE FOR THAT KIND OF WORK, DOCKED FOR HOW SQUASHED THE WEIGHTS GET AT EACH TIER. TIMES ARE COMPUTED FROM RESEARCHED SPEEDS. BALLPARK, NOT GOSPEL.
Not enough discussion about Self Forcing yet to call it. We found 42 posts but people did not say much either way.
34 POSTS · 8 COMMENTS · REDDIT · GITHUB
Other models the crowd has fully reviewed, starting with video models like this one.
I got LTX-2.3 Running in Real-Time on a 4090
PSA: WAN2.2 8-steps txt2img workflow with self-forcing LoRa's. WAN2.2 has seemingly full backwards compitability with WAN2.1 LoRAs!!! And its also much better at like everything! This is crazy!!!!
Remember when hands and eyes used to be a problem? (Workflow included)
18 Qwen-Image Realism LoRa Samples - First attempt at training a Qwen-Image LoRa + Sharing my training & inference config
Tencent promise a new autoregressive video model ( based on Wan 1.3B, eta mid October) ; Rolling-Forcing real-time generation of multi-minute video ( lot of examples & comparisons on the project page)
Self-forcing: Watch your step!
Krea Realtime 14B. An open-source realtime AI video model.
Wan2.1-T2V-1.3B-Self-Forcing-VACE
I stepped away for a few weeks and suddenly there's dozens of Wan's. What's the latest and greatest now?
Comment in r/StableDiffusion
Wan 2.1 lora's working with Self Forcing DMT would be something incredible
Use NAG to enable negative prompts in CFG=1 condition