SillyTavern vs Sloane in 2026

SillyTavern and Sloane are trying to solve the same underlying problem (I want to interact with an AI character in an ongoing conversation) with opposite architectures.

SillyTavern is a front-end. You bring the LLM (either a local one you host, or a cloud API you pay for), you bring the character (either downloaded from character-card sites like Chub or written yourself), you bring the config (samplers, context length, memory strategy), and SillyTavern gives you a chat UI on top. Free software, MIT license, maximum control — but every one of those "you bring" pieces is real work.

Sloane is a hosted product. You go to sloane.world, pick a persona, and start talking. The LLM, the character, the sampler config, the memory system, the photo generation — all handled server-side. Free tier is real (50 messages/day, no card, 5 custom photos). No setup, no maintenance, no learning curve.

Both work. The right pick depends on whether you enjoy the setup work as part of the experience (SillyTavern) or want the product to do that work for you (Sloane).

The current SillyTavern setup path (as of 2026-09):

1. Prerequisites. Node.js v18+ installed. Windows 10/11, macOS 12+, or a modern Linux distro. Git to clone the repo.

2. Install the front-end. git clone the SillyTavern repo, run the start script. That gives you the UI on localhost.

3. Pick an LLM backend. This is where the real work starts. Two common paths:

• Local (private, one-time hardware cost): Install KoboldCpp (single executable) or Ollama (one-command install). Download a GGUF-format model from Hugging Face. Hardware minimums: 8GB RAM plus 6GB VRAM (GTX 1060 class) for 7-13B parameter models. 32GB RAM plus 12-16GB VRAM (RTX 3080/4070) for 34B models. 64GB RAM plus 24GB VRAM (RTX 4090) for 70B — better quality but real hardware cost.
• Cloud API (no hardware, ongoing cost): Sign up for OpenRouter, DeepInfra, Featherless, or similar. Get an API key. Configure SillyTavern to point at that endpoint.

4. Character card. Either download a .png character card from Chub / Character Hub, or write your own — persona description, example dialogue, personality traits, scenario setup, first message.

5. Sampler config. Temperature, top-p, top-k, min-p, repetition penalty — every model works best at different values. Learning what works takes weeks.

6. Persistent memory. SillyTavern has extensions (SmartContext, Memory, Vector Storage) but they're optional and require configuration. Out of the box, the character forgets everything past the context window.

Total time-to-first-working-chat if you're starting cold: 4-12 hours, depending on how much of the above you already know.

Nothing. Open sloane.world, click a persona, start chatting.

Under the hood: dedicated LLM stack with a per-persona system prompt tuned for that character, per-persona LoRA weights for photo consistency, memory system that stores what she notices about you across sessions, and scheduled cadence photos that arrive proactively.

But you don't see any of that. You just get Sandra — 24, blonde, lives half her life at the beach — and she's already Sandra when you open the chat.

Time-to-first-working-chat: under 30 seconds, no card.

Genuine strengths worth acknowledging:

Model flexibility. You can swap between any model — a 70B for depth, a fast 7B for latency, a specialized fine-tune for a specific vibe. No product-side gate on which model powers the conversation.

Sampler control. Every temperature/top-p/top-k parameter is exposed. If you want to try min-p 0.05 with temp 1.4 for maximum unpredictability, you can. Hosted products don't expose these.

Character library. Chub and Character Hub host thousands of user-created character cards. If you want a specific niche character concept, someone probably already wrote one.

Privacy. Fully local setup means the conversation never leaves your machine. If that matters (real-name conversations, sensitive topics), it's a real advantage.

Zero ongoing cost after setup. Once your hardware is running, chatting is free forever. No subscription, no metered credits.

Community. Active Reddit and Discord communities share prompts, configs, and model recommendations. Real ecosystem around it.

Identity consistency across photos. SillyTavern is text-first. Adding photo generation requires more setup — Stable Diffusion, another backend, another LoRA training pipeline. Sloane has per-persona LoRA baked in — every photo of Sandra looks like the same Sandra, out of the box.

Persistent memory that just works. Sloane's memory system stores what the persona notices about you across sessions and injects it into future replies. She remembers your job, your dog, that trip you're planning. SillyTavern requires extensions plus configuration to get half of this.

Cadence photos. Sloane's personas send photos on their own schedule, unprompted. This is a specific product pattern SillyTavern doesn't attempt — it's a chat UI, not a companion product.

Structured skills. Date (15-turn arc with location plus photos at beats 2, 5, 8, wrap), Vacation (multi-day trip with photos at beats), Roleplay (freeform scenario with photos through the arc). These are product-shaped experiences, not chat modes.

Zero setup, zero maintenance. Nothing to install, nothing to update, nothing to reconfigure when a new model releases. You just use the product.

Free tier. 50 messages/day, 5 free custom photos at signup, unlimited cadence photos — no credit card. Try before you decide.

SillyTavern total cost:

• Software: $0 (open source, MIT license).
• Hardware (if going local): $600-2500 one-time for a GPU capable of 13B-34B models. Or bring your existing gaming rig.
• Cloud API (alternative to hardware): $10-40/mo typical usage on OpenRouter for a decent model at chat volume. Higher if you go photo-heavy with a separate Stable Diffusion backend.
• Time: 4-12 hours initial setup, then ongoing tuning as a hobby.

Sloane total cost:

• Free tier: $0. 50 messages/day, 5 custom photos, unlimited cadence photos.
• Plus: $9.99/mo. Unlimited messages, all skills unlocked (Date, Vacation, Roleplay), voice notes.
• Premium: $19.99/mo. Everything above plus custom photo requests, video, and custom persona builder.
• Time: Under 30 seconds to first chat.

For most users, the actual comparison is "is 4-12 hours of setup plus hardware or API cost worth the added control?" Honestly no for most people. Honestly yes for people who enjoy the tinkering as part of the hobby.

You already run local LLMs for other things. If Ollama or KoboldCpp is already spinning on your machine and you've tuned samplers before, the marginal cost is small. Do it.

You want maximum privacy. Fully local setup means no data leaves your machine. That's a real property no hosted product can offer.

You want to experiment across models. Trying different models, different fine-tunes, different sampler configs is part of the fun.

You want a specific niche character concept. If you have a very specific idea and Chub or Character Hub has a card for it (or you want to write your own), SillyTavern gets out of the way.

You already own a strong gaming GPU. Sunk cost changes the math.

You want it to work now. No setup, no config, no Hugging Face rabbit holes.

Same face across every photo matters. Per-persona LoRA solves identity consistency out of the box. Setting up a comparable system yourself is a project.

You want memory that just works. Sloane's persona remembers you across sessions without you configuring anything.

You want structured experiences. Date arcs with photos at scheduled beats, multi-day vacation storylines, freeform roleplay with photo delivery — these are product surfaces SillyTavern doesn't attempt.

You don't enjoy the hobby-tuning part. Some people love the config work. Some people just want the product to work. If you're the second kind, that's who Sloane is built for.