Try one for free!

Every face below is an original synthetic person — an ULTRA-trained LoRA (4,500+ step, rank-64) built by the INKFLOW studio for AI video production. Commission your own: you get the .safetensors model, a verified reference pack and a perpetual, royalty-free commercial license — pay once, use forever, owe nothing per use. $48. Nothing trains until you pick your face from 3 candidates.

Tried the rest? Now try the best — free.
We are that confident you will like it: the first ULTRA model is on us — complete file, full spec, commercial licence and all. If we are wrong it cost you nothing. We do not think we are wrong.
Not a trial, not watermarked, not cut down — the same ULTRA LoRA file we sell, trained 4,500+ steps at rank 64. Dariusz Kwiatkowski-Osei, an original synthetic person, yours to use commercially forever with no fee and no attribution. We would rather you judged the quality than took our word for it.
Dariusz Kwiatkowski-Osei — close-up
close-up
Dariusz Kwiatkowski-Osei — turning
turning
Dariusz Kwiatkowski-Osei — over shoulder
over shoulder
Dariusz Kwiatkowski-Osei — laughing
laughing
Dariusz Kwiatkowski-Osei — low angle
low angle
Dariusz Kwiatkowski-Osei — full body
full body
One model, six angles — including the ones that usually break a character LoRA. This is what you are downloading.
— tick the box above to download —
licence & how to use it

The free download is a genuine “try before you buy” sample, provided as-is. Paid LoRA / pack downloads are non-refundable once downloaded (a downloaded model can’t be returned) — which is exactly why the sample is free, so you can test first. Full Terms & Refund Policy.

No signup or card. Email is optional — add it only if you want the download link plus a one-time £49 pack offer. Check the rank yourself from the file you download — the snippet is below, and in the readme.
Aisha Okafor
Aisha Okafor
ULTRA LoRA (4500-step, rank-64). Identical face in every shot, every episode.
▶ Watch this actor in the film demo
Coach Brennan
Coach Brennan
ULTRA LoRA (4500-step, rank-64). Identical face in every shot, every episode.
▶ Watch this actor in the film demo
Dariusz Kwiatkowski-Osei
Dariusz Kwiatkowski-Osei
ULTRA LoRA (4500-step, rank-64). Identical face in every shot, every episode.
▶ Watch this actor in the film demo
Devon Carter
Devon Carter
ULTRA LoRA (4500-step, rank-64). Identical face in every shot, every episode.
▶ Watch this actor in the film demo
Jessica Tran
Jessica Tran
ULTRA LoRA (4750-step, rank-64). Identical face in every shot, every episode.
▶ Watch this actor in the film demo
Kenji
Kenji
ULTRA LoRA (500-step, rank-64). Identical face in every shot, every episode.
▶ Watch this actor in the film demo
Kyle Morrison
Kyle Morrison
ULTRA LoRA (4750-step, rank-64). Identical face in every shot, every episode.
▶ Watch this actor in the film demo
Marisol Reyes
Marisol Reyes
ULTRA LoRA (4500-step, rank-64). Identical face in every shot, every episode.
▶ Watch this actor in the film demo
Matteo Ricci
Matteo Ricci
ULTRA LoRA (4500-step, rank-64). Identical face in every shot, every episode.
▶ Watch this actor in the film demo
Nico Rossi
Nico Rossi
ULTRA LoRA (4500-step, rank-64). Identical face in every shot, every episode.
▶ Watch this actor in the film demo
Park
Park
ULTRA LoRA (4750-step, rank-64). Identical face in every shot, every episode.
▶ Watch this actor in the film demo
Reyes (farm-team call-up)
Reyes (farm-team call-up)
ULTRA LoRA (4500-step, rank-64). Identical face in every shot, every episode.
▶ Watch this actor in the film demo
Coach Sullivan
Coach Sullivan
ULTRA LoRA (4500-step, rank-64). Identical face in every shot, every episode.
Dorjpalam Sukhbaatar-Neves
Dorjpalam Sukhbaatar-Neves
ULTRA LoRA (4750-step, rank-64). Identical face in every shot, every episode.
Esperanza Tuilagi
Esperanza Tuilagi
ULTRA LoRA (4500-step, rank-64). Identical face in every shot, every episode.
Granny
Granny
ULTRA LoRA (4500-step, rank-64). Identical face in every shot, every episode.
Hollis
Hollis
ULTRA LoRA (4500-step, rank-64). Identical face in every shot, every episode.
Ingrid Halvorsen
Ingrid Halvorsen
ULTRA LoRA (3250-step, rank-64). Identical face in every shot, every episode.
Kira
Kira
ULTRA LoRA (4500-step, rank-64). Identical face in every shot, every episode.
Maya Bennett
Maya Bennett
ULTRA LoRA (4500-step, rank-64). Identical face in every shot, every episode.
Mrs. Carter
Mrs. Carter
ULTRA LoRA (4500-step, rank-64). Identical face in every shot, every episode.
Nonna (Nico's grandmother)
Nonna (Nico's grandmother)
ULTRA LoRA (4500-step, rank-64). Identical face in every shot, every episode.
Nora Larsen
Nora Larsen
ULTRA LoRA (4500-step, rank-64). Identical face in every shot, every episode.
Priscilla
Priscilla
ULTRA LoRA (4750-step, rank-64). Identical face in every shot, every episode.
Priya Menon
Priya Menon
ULTRA LoRA (4500-step, rank-64). Identical face in every shot, every episode.
Tamsin Oduya-Brennock
Tamsin Oduya-Brennock
ULTRA LoRA (3750-step, rank-64). Identical face in every shot, every episode.
Thembi Dlamini-Vasquez
Thembi Dlamini-Vasquez
ULTRA LoRA (4500-step, rank-64). Identical face in every shot, every episode.
Yuki
Yuki
ULTRA LoRA (4500-step, rank-64). Identical face in every shot, every episode.
Spur Nine — the Cyberpunk Set
A whole neon port city, rendering now — 24 locations + an alien cast, £59. Watch it being built →
Creator LoRA packs — sell yours
List your trained sets: keep 85% of sales, 25% of production use. Strict content policy →
Launch pricing vs list
World Pack: £29 at launch, list £49 — and it comes free with the Cast Pack.
Cast Pack: £49 (about $62) for every actor on the shelf — list value $399 — with the whole World Pack included.
Buy it right now — no signup, no account
One click to Stripe, downloads on your screen within the hour (usually minutes). Perpetual royalty-free commercial licence on everything.
Tick the box above to enable checkout.
In the oven right now: 30 more ULTRA models
Desmond Achterberg · Desmond Achebe-Walsh · Dagmar Solberg-Osei · Celestine Beaumont-Oduya · Teodoro Vaszquez-Mwangi · Themba Vorster · Bremley Achach · Tariq Osei-Marchetti · Reuben Ostrovsky-Nakamura · Bertrand Achille Mouamba · Tevita Sørensen · Bemnet Tsegaye-Holt · Reuben Achterberg · Reuben Tcharkhoutian · Tomasz Wierzbicki-Nakamura · Tariq Osei-Vásquez · Teodoro Mbeki-Vásquez · Rufus Delacroix-Papadopoulos · Tomás Vreeland-Achebe · Reuben Mwangi-Castillo · Themba Vreeland · Branimir Solčić · Tenzin Wulfhart · Tariq Osei-Belmont · Tariq Mehrzad-Okonkwo · Feroz Salahuddin · Bertrand Osei-Nakamura · Babatunde Osei-Mirzoyan · Radovan Petrescu · Rajiv Subramaniam-Wolfe
Everything listed here — shelf models now, in-training models the moment they verify at rank 64 — is part of the pack you buy today. Future themed collections may be sold separately.

Watch a complete film made with this catalogue

A full music-video film, every face and place from the pack: 14 ULTRA LoRAs — 7 characters, led by Aisha Okafor and Nico Rossi, and 7 trained sets & props. The same faces hold from first frame to last — that is the product, on screen. It is also a book trailer: the story is adapted from the ice-hockey romance “Checking the Rules”, written by this studio — the cast you can buy, acting the book we wrote. The film carries its AI-generated disclosure badge.

⛶ Expand — watch the full-screen high-res version · Aisha and Nico are in the Cast Pack below. The bar, the rink, the phones — all in the World Pack.

Bird's Eye View

4 ULTRA LoRAs from this catalogue in one film — every one is in the pack below. AI-generated, disclosure badge burned in.

Watch Di Ride - Forge Line Brawl (hockey)

10 ULTRA LoRAs from this catalogue in one film — every one is in the pack below. AI-generated, disclosure badge burned in.

It isn’t just people — we train the world too

Vehicles, rooms and whole locations get the same ULTRA treatment, so the hero’s truck and the car park behind the rink look identical in every scene of every episode.Grab the one-image contact sheet of the whole world pack — save it, share it. Below is every trained set and prop in the pack today — everything listed - including items still in training - is included in the pack. Starter taste: smartphone, pickup truck and parking lot for £9, royalty-free.

Nico's truck
Nico's truck
The same truck, every angle, every scene, every film in the series.
The rink
The rink
The home arena — same ice, boards and glass in every episode.
Aisha's apartment
Aisha's apartment
A home set — same kitchen, same light, whole series.
Forge locker room
Forge locker room
The dressing room set — persistent down to the stall plates.
Coach Brennan's office
Coach Brennan's office
The coach’s office — persistent shelves, desk and blinds.
Press box
Press box
The stadium press box — one geography, every match.
The bar
The bar
The friends’ bar — same booths, brick and neon, every visit.
Inside Nico's truck
Inside Nico's truck
The same truck, every angle, every scene, every film in the series.
Rink parking lot
Rink parking lot
Whole locations train too: one lot, identical across episodes.
Priya's apartment
Priya's apartment
A home set — same kitchen, same light, whole series.
Aisha's press credential / lanyard
Aisha's press credential / lanyard
A wearable prop — same credential on every cut.
Aisha's parking spot (Spot 14)
Aisha's parking spot (Spot 14)
A single numbered parking spot, findable in every episode.
digital recorder
digital recorder
A hand prop that stays the same device in every hand.
Nico's apartment kitchen
Nico's apartment kitchen
A home set — same kitchen, same light, whole series.
the serving spoon
the serving spoon
Proof that even the smallest prop can hold its identity.
Arena press room
Arena press room
The arena press room, persistent wall to wall.
studio smartphone
studio smartphone
Unbranded, studio-owned, reusable in any production.
city newsroom
city newsroom
A working city newsroom — desks, screens and clutter held constant.
press conference room
press conference room
Backdrop, mics and podium — consistent across pressers.
Hospital ward
Hospital ward
A hospital ward that stays the same ward all season.
City street (day)
City street (day)
A city street in daylight — same shopfronts every take.
bookshop interior
bookshop interior
A warm bookshop interior with persistent shelves and stock.
diner interior
diner interior
A classic diner interior that never redecorates itself between shots.
laundromat interior
laundromat interior
Row of machines, strip lighting — identical every scene.
grocery store interior
grocery store interior
A persistent studio prop — the same object in every shot.
taxi cab
taxi cab
A persistent studio prop — the same object in every shot.
city bus
city bus
A persistent studio prop — the same object in every shot.
taxi cab interior
taxi cab interior
A persistent studio prop — the same object in every shot.
city bus interior
city bus interior
A persistent studio prop — the same object in every shot.
laundromat interior (night)
laundromat interior (night)
Row of machines, strip lighting — identical every scene.
We throw away most of the training set. That’s the point.
Every serious trainer will tell you the same thing: the training set decides the quality of a LoRA, not the settings. So that’s where we spend the effort. For each subject we generate around 40 candidates, embed them with DINOv2, measure each one against the set’s own centre, and discard whatever drifts. Twenty to thirty-six usually survive. If what’s left isn’t coherent enough, the trainer refuses to run at all — we’d rather spend the GPU hours again than sell you an average model.
Only then do we train deep — 4,500+ steps at rank 64, where community defaults sit nearer 1,500–2,500 at rank 16–32. Depth only helps once the data is clean, which is why the curation gate comes first. Together they hold a face through the hard cases: extreme angles, awkward lighting, motion blur, and a hundred shots without drift.
Don’t take our word for it — check the file yourself
We publish our training spec. Ask any other seller for their step count and rank before you buy. Ours is readable straight out of the .safetensors you receive, in one line. If it doesn’t say 64, you’ve caught us.
import json, struct
with open('actor.safetensors','rb') as f:
    n = struct.unpack('<Q', f.read(8))[0]
    hdr = json.loads(f.read(n))
print(min(v['shape'][0] for k, v in hdr.items()
          if 'lora_A' in k or 'lora_down' in k))   # -> 64
Want something specific? Just ask a human.
Need a character or object trained to your exact brief? A bulk or studio licence? A book trailer, a music video, or a whole persistent world for your project? Want to see the spec, or have us prove a claim before you pay a penny? Email us and a person replies — no ticket system, no bot.
[email protected]
🔓 Yours to own — no wrapper, no runtime
You receive plain .safetensors LoRA files. Load them in ComfyUI, Automatic1111 or any LoRA-capable pipeline, and add your own voice, motion and audio with whatever tools you already use. We sell the models, not a walled garden — and you can verify the rank-64 spec yourself, straight from the file header.

Questions buyers actually ask

Can I use these commercially?
Yes. Every purchase (and the free sample) carries a perpetual, royalty-free commercial licence: pay once, use forever, no per-use fee and no attribution required.
What do “4,500+ steps” and “rank 64” actually mean?
Training depth and model capacity. Community LoRAs typically train 1,500–2,500 steps at rank 16–32; ours train 4,500+ steps at rank 64 on a curated set, which is what holds one face steady through extreme angles, hard lighting and motion blur. Both numbers are readable straight from the .safetensors header — the one-line check is published above.
Are downloads refundable?
Paid LoRA and pack downloads are non-refundable once downloaded — a downloaded model cannot be returned. That is exactly why the full free sample exists: test everything before you spend a penny.
What exactly is included when I buy?
Everything listed on this page at the time you buy - shelf models immediately, in-training models when they verify. Future themed collections (style worlds, regional packs) may be released as separate packs.
Can I verify the quality before paying?
Yes, completely. Download the free ULTRA model — the same file class we sell, no signup — render with it, and read the rank out of the file header with the snippet above. If it doesn’t say 64, you’ve caught us.
Refund details live in the Terms & Refund Policy; anything else, ask a human or point your agent at /api/capabilities.

The studio also writes complete books

Not a promise — a delivery record: one continuous canon of 2,138,487 words across 14 volumes (773 chapters) has already been written, with a single continuity ledger holding it together — the first series alone runs 1,254,473 words and crossed the 900,000-word mark with continuity intact.

Full-length novels, series and technical manuals up to 900,000 words — any genre, written natively in 22 languages, delivered autonomously by the same engine that has already shipped a 2.1-million-word continuous canon with machine-audited continuity. Describe the book, pay, download; a typical novel arrives in under 24 hours.
Order a complete book
Want proof first? Start with three free chapters — read the opening of your own book before you spend anything.
Also on the menu: complete books up to 900,000 words, single continuous stories past 2,000,000 words as multi-volume epics (we’ve already delivered a 2.1-million-word canon), whole multi-volume series with machine-audited continuity, manuals and technical specs — written natively in 22 languages. AI agents: connect to our MCP server at api.inkflowstudio.org/api/mcp and call inkflow_free_samples or inkflow_capabilities.
▶ See the video demoOne full ULTRA LoRA free — no signup£49 Cast Pack — every actor + World Pack free