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Ltx2-modellen

Ltx2 AI-modellen

LTX-2 is Lightricks' open video model with synchronised audio, fast enough to generate 4K clips in near real time on a single GPU and released with full weights and training code. It follows long cinematic prompts, keeps characters stable across the shot and produces sound that matches the picture. The LoRAs here add styles, camera moves and characters; the LTX-2.5 prompting field guide on this site covers the prompt format in detail.

Populairste Ltx2-modellen

enhance crisp
LTX2
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LORA
enhance soft
LTX2
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LORA
smoothmix
LTX2
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LORA
pixar cgi toon
LTX2
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LORA
women group dance
LTX2
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LORA
phuthon dance2
LTX2
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LORA
realism
LTX2
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LORA
ic detailer
LTX2
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LORA
phut hon dance
LTX2
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LORA
kiss the viewer
LTX2
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LORA
soft whisper
LTX2
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LORA
scene transition
LTX2
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LORA

Ltx2-gidsen

Clouddiensten
PirateDiffusion: run any model from Telegram, no GPU needed
The commands that matter in the PirateDiffusion Telegram bot: /render with model trigger words, (( )) and [[ ]] weighting, #recipes, /adetailer, /highdef and /facelift upscaling, /remix, /inpaint, ComfyUI workflows with /wf /run:, and the new // skills that pick the model for you.
Door Captain
2026-10-03
Fouten en oplossingen
VRAM requirements for every popular AI image and video model (2026): full precision, FP8 and GGUF
How much VRAM you need for SD 1.5, SDXL, SD 3.5, Z-Image Turbo, FLUX.1, FLUX.2 Klein and Dev, Qwen-Image, Wan 2.2, HunyuanVideo 1.5 and LTX-2, at full precision, FP8 and 4-bit GGUF, with the comfortable card and licence for each, what every GPU size from 8 to 48 GB can run, and the order of fixes when a model does not fit.
Door P.I. Panda
2026-10-06
Videomodellen
How much VRAM do you need for AI video? Wan 2.2, HunyuanVideo 1.5 and LTX-2 by GPU size (2026)
VRAM needed to run Wan 2.2, HunyuanVideo 1.5 and LTX-2 locally, by GPU size, resolution and clip length: what 8, 12-16, 24, 32 and 48+ GB cards can make, why video costs a hundred times an image, the offloading tricks that fit 14B models on 24 GB, realistic generation times, and when renting beats buying.
Door P.I. Panda
2026-10-06
Modellen
LTX 2.3 Crisp Enhance: sharper, more cinematic video detail
vrgamedevgirl's Crisp Enhance LoRA for LTX 2.3 increases sharpness, micro-detail and contrast in generated video. Learn how to balance it with the Soft Enhance sibling, weights and prompt ideas.
Door Captain
2026-10-03
Videomodellen
AI video generation for beginners: image-to-video, text-to-video and the first clip with Wan, LTX-2 and H3
A first week with open video models: the difference between text-to-video and image-to-video and why to start with the latter, the three model families worth learning (Wan 2.2, LTX-2, MiniMax H3), frame counts and resolutions that work, how to write a motion prompt, what to expect from a 16 or 24 GB card against the cloud, and how to turn five-second clips into something longer.
Door Lookout
2026-04-29
Fouten en oplossingen
GPU and VRAM guide for AI image and video: what each model needs and what to buy (or not)
How much graphics memory each model family really needs at usable speed (SD 1.5, SDXL, Flux, FLUX.2, Qwen Image, Z-Image, Wan 2.2, LTX-2, H3), what fp8 and GGUF quantisation buy you, why system RAM and disk matter too, a tier list of cards from 8 to 32 GB, Mac and AMD notes, and the point at which renting is cheaper than buying.
Door Quartermaster
2026-01-07
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