Help·Why not run models locally?
Why not run models locally?
You absolutely can
We're just here to make it easier
Every model and LoRA available on Endlss can be downloaded and run on your own hardware. The weights are open, the tooling exists, and if you have a capable GPU there is nothing stopping you. We encourage it — tinkering with models locally is a great way to learn.
Endlss isn't here to replace that. We're here for the times when you want results quickly, without wrestling with Python environments, VRAM errors, or spending an evening downloading 200 GB of model weights.
What local generation looks like
Real numbers on real hardware
Running models locally on a single consumer GPU is absolutely viable, but the time adds up — especially for video. Here's a rough idea of what to expect on a modern card:
| Task | Local (RTX 4090) | Endlss |
|---|---|---|
| Image (Flux Schnell) | 3–6 seconds | 2–4 seconds |
| Image (Flux Dev + LoRA) | 8–20 seconds | 4–8 seconds |
| 6s video (WAN 2.1) | 4–8 minutes | 40–90 seconds |
| 6s video (Kling 2.0) | Not available locally | 60–90 seconds |
These are best-case numbers for a top-end consumer card with 24 GB VRAM. On a card with 8–12 GB you'll hit out-of-memory errors on larger models, or need to use CPU offloading which can push video generation times into tens of minutes.
And that's before accounting for setup: installing CUDA, downloading model weights, configuring ComfyUI or a similar frontend, and debugging dependency conflicts. It's all solvable — but it's time you could spend creating instead.
What Endlss gives you
Convenience, speed, and flexibility
No setup, no maintenance
Open the browser, write a prompt, and hit generate. No Python environments, no driver updates, no VRAM management. It just works.
Faster results
Our dedicated GPUs — RTX 5090s and H100 SXMs — run models significantly faster than a single consumer card and can handle workloads that wouldn't fit in 24 GB of VRAM at all.
Multiple models, one place
Switch between Flux Schnell, Flux Dev, Flux Pro, WAN 2.1, Kling 2.0, MiniMax, and more without downloading anything. Try a model, decide it's not right, try another — in seconds.
LoRAs without the headaches
Browse and apply community and premium LoRAs with a single click. No hunting for weights on CivitAI, no guessing which base model a LoRA was trained on, no manual configuration.
Generate anywhere
Your phone, your tablet, a borrowed laptop — if it has a browser, you can generate. The heavy lifting happens on our hardware, not yours.
Running models locally and using Endlss aren't mutually exclusive. Plenty of our users do both — experimenting at home and reaching for Endlss when they want speed, convenience, or access to models and LoRAs they don't have locally.
What does generation run on?
The dedicated GPU hardware behind every generation on Endlss.
What are AI models?
A guide to every model available on Endlss and what each one does.
What are LoRAs?
How LoRAs let you customise AI model output with specific styles.