π± GalaxyAce LoRA
π¬ MiniMax H3 added
Model: MiniMax H3
Recommended LoRA Strength: 1.00
Trigger Word: Not required
π· Krea 2 added
Model: Krea 2 (trained on Krea-2-Raw, works on Raw & Turbo)
Recommended LoRA Strength: 1.0 for in-dataset scenes β up to 2.0 (see Strength Behavior)
π¬ LTX-2.3 added
Model: LTX-2.3
Recommended LoRA Strength: 1.00
Trigger Word: Not required
In LTX 2.3 T2V&I2V ComfyUI Workflow, LoRA is connected immediately after the checkpoint node inside the subgraph
π¬ LTX-2 added
Model: LTX-2
Recommended LoRA Strength: 1.00
Trigger Word: early 2010s low-end android phone footage
This LoRA replicates the early 2010s video style of a Samsung Galaxy Ace smartphone.
The training videos include streets, parks, everyday scenes, casual portraits, and real-life moments typical for low-end Android devices.
The LoRA transfers:
color reproduction of the Galaxy Ace camera
sensor noise & compression artifacts
dynamic range and exposure behavior typical for small sensors
lens softness and subtle edge blur
subtle motion jitter and handheld feel
overall βearly 2010s low-end Android phone videoβ aesthetics
β How to Use
LoRA Strength: 1.00
Base Model: LTX-2
Best with natural scenes: street videos, parks, cafes, casual portraits, travel clips, everyday life
Adds subtle imperfections and low-fi realism for video
Recommended workflow: official ComfyUI LTX-2 Text-to-Video pipeline
π§ͺ Notes
Ideal for: street videos, diary-style clips, lifestyle captures, travel footage, nature
Preserves realism, avoids stylization, reproduces small-sensor behavior
Enhances authenticity while keeping motion, lighting, and colors faithful to early 2010s low-end Android look
π· Z-Image-Turbo (Photos)
Model: Z-Image-Turbo
Recommended LoRA Strength: 1.20
β How to Use
LoRA Strength: 1.20
Base Model: Z-Image-Turbo
Works perfectly with natural, simple prompts
Adds subtle imperfections and real-photo feel of a low-megapixel phone camera
π§ͺ Notes
Best results: street photos, portraits, pets, travel shots, nature, everyday objects
Maintains realism, avoids stylization
Recreates small-sensor characteristics of the original device
Description
π¬ MiniMax H3
Model: MiniMax H3 (open weights, H3-Base)
Recommended LoRA Strength: 1.00
Trigger Word: Not required
This LoRA brings the Galaxy Ace look to MiniMax H3 β the color reproduction, exposure
behavior and lens softness of an early 2010s low-end Android phone, now on a model with
native audio.
β How to Use
Base Model: MiniMax H3-Base β 768p, 24 fps
guidance_scale: 1 β H3 is guidance-distilled. Side effect: the negative prompt does
nothing, so anything unwanted has to be handled with positive wording instead
Frame count must be 17n+5 (5, 22, 39 ... 107, 149, 209, 345). Resolution in multiples of 32
Best with natural scenes: street clips, car interiors at night, kitchens, courtyards,
casual portraits, action from a phone in someone's hand
Drop to 0.7 only if speech goes out of sync β softness blurs the mouth. Don't rewrite the
prompt to fix sync
π§ͺ Prompting H3 (different from LTX and Krea)
H3's text encoder is a language model (Qwen3-VL), not CLIP. That changes how you write:
β (text:1.3) weighting does nothing β the encoder reads brackets as characters
β tag tails (24yo, car selfie, night, candid) don't work either β write connected prose
β structure that works: scene β beats with timecodes β how the camera behaves β audio,
spelled out β no text or logos
β write the audio explicitly or the model will put music under the clip
β dialogue works, in Russian and the other languages H3 supports. Keep the prompt body in
English and swap only the spoken line
β say nothing about image quality. No "low quality", no "grain", no "compression" β that's
the LoRA's job. Describe light as a fact instead (one bare bulb overhead, a street lamp
passing across a face, sun straight into the lens) and let the sensor react
π§ͺ Notes
β Trained with Ostris AI-Toolkit, on RTX Pro 6000 Blackwell (96GB)
β about an hour of training
β Trigger-less β the style applies on its own
β Picture only. H3's audio branch is untouched by the LoRA, so voice artefacts belong to the
base model
π Example prompt
Close-up selfie video of a beautiful blonde woman in her early twenties in the passenger
seat of a car at night, her face filling most of the frame. Long light blonde hair, blue
eyes, soft natural makeup, a thin gold chain at her throat. The only light on her face is
the phone screen from below and orange street lamps sliding past the window behind her as
the car moves.
0:00-0:02 - She looks out through the side window, then turns her eyes into the phone and
says, "We're almost there."
0:02-0:04 - A street lamp passes and washes orange across her face and the seat behind her.
She says, "Twenty minutes, maybe."
0:04-0:06 - She smiles slightly, looks down, then back up into the phone.
She is holding the phone herself, close to her face, and her hand moves with the car.
Audio: her voice close to the microphone, quiet and unperformed. Tyre noise on wet asphalt,
the low hum of the engine, a turn signal ticking twice. No music.
No text, no captions, no logos, no watermarks anywhere in the frame.
149 frames, 768p, strength 1.00, guidance_scale 1, empty negative.