🎬 LTX See Motion

Custom LTX-2.3 Checkpoint · Image-to-Video · NSFW-focused · ComfyUI-ready

⚡ TL;DR: A custom-adjusted LTX-2.3 checkpoint, built on the foundation of 10Eros v1.2 and sulphur dev — no LoRAs baked in, no Turbo/distill baked in. Built for image-to-video: the model stays true to your input image. For the fast 8-step / CFG 1.0 workflow, load the official distill LoRA at 0.8 (link below). 🔞 Adults only.

📌 A quick word before you start: this version is tuned for image-to-video — my main goal was that identity, style, and composition of the input image survive the whole clip. Because of that focus, plain text-to-video is not the strength of this version. Video-to-video and audio + image-to-video work well too; video editing I have not tested yet. Dancing, singing, and NSFW prompts work well without any extra LoRA. Lots of example videos are in the gallery, and a workflow showing how they were made will follow. 🎞️

💠 What is LTX See Motion?

LTX See Motion is my personal LTX-2.3 video checkpoint blend, built to make image-to-video generations feel more active, more stable, and more useful for adult NSFW motion work — scenes where anatomy, body contact, and intimate motion need to stay readable across the whole video instead of falling apart after a few frames.

This release is a custom-adjusted LTX-2.3 checkpoint. Two existing checkpoints served as its foundation: 10Eros v1.2 and sulphur dev.

Nothing else is inside:

• 🚫 No LoRAs merged into the checkpoint

• 🚫 No Turbo / distill influence baked in

• ✅ Standard LTX-2.3 structure (fp8 mixed)

• ✅ Fully LoRA-compatible — stack your own LoRAs without double-stacking

🧩 Required LoRA for the fast workflow

⚠️ Important: This checkpoint contains no distilled (Turbo) weights. Out of the box it needs a normal dev-style workflow (more steps, normal CFG). For the fast 8-step / CFG 1.0 workflow, load this LoRA separately:

👉 ltx-2.3-22b-distilled-lora-384-1.1 — download here · strength 0.8 · goes into ComfyUI/models/loras/

⚙️ Recommended Settings

🐢 Without the distill LoRA (dev-style, official LTX-2.3 defaults)

• CFG / guidance: 4.0

• Steps: 40 (community range: 30–50)

• Use a fixed seed when comparing settings

🚀 With the distill LoRA loaded (strength 0.8)

• CFG / guidance: 1.0 (keep it there)

• First pass: 8 steps

• Upscale / second pass: 4 steps

⏱️ Performance reference

• RTX 5060 Ti · 16 GB VRAM · 15-second video @ ~1 megapixel → ~300–400 seconds

💡 If results become unstable, don't raise CFG first — adjust the prompt, seed, image quality, or motion intensity instead.

🎯 Recommended Use

Best used for image-to-video, especially adult/NSFW image-to-video — the model stays true to the input image. Video-to-video and audio + image-to-video work well too. Dancing, singing, and NSFW prompts work well without any extra LoRA. The starting image should already define the subject, pose, composition, and style — your prompt describes what moves.

• 🎥 Camera movement

• 💃 Body, hair & clothing motion

• 😊 Facial motion

• 🔞 Intimate motion & contact stability

• 💡 Lighting changes & environmental motion

Avoid purely static scene descriptions — if the prompt only describes what's already visible, the model has no direction for movement.

✍️ Prompting Guide

LTX image-to-video prompting works better as a short directing paragraph than a tag list. The input image defines the scene — the prompt tells the model what happens next.

Prompt shape

[subject/action in present tense]. [camera movement]. [body/contact motion].
[secondary motion: hair, cloth, lighting, environment]. [stability note].

🌸 Example — Soft Motion

The character slowly turns toward the camera and breathes softly. The camera makes a gentle push-in while the hair and clothing move with a light breeze. The expression stays stable, the face remains consistent, and the motion is smooth and natural.

🎥 Example — Camera Movement

The camera slowly pans from left to right while the character keeps eye contact with the viewer. The body shifts subtly, hair moves naturally, and the lighting flickers softly across the scene. The character remains anatomically stable with smooth frame-to-frame motion.

🔞 Example — Adult I2V

One adult anime woman kneels between the legs of an adult anime man, her hands braced on his thighs. She looks up at him with direct eye contact, opens her mouth, and slowly takes his erect penis fully inside her mouth, her lips stretching visibly around the shaft as she lowers her head. She pulls back until only the tip remains between her lips, then pushes down again, establishing a slow, deliberate rhythm. Saliva glistens visibly on her lips and his shaft with each stroke. Her cheeks hollow slightly with suction, her throat visibly adjusts as she takes him deeper, and her eyes water slightly but stay locked on his face. He groans and grips her hair gently, guiding her pace without forcing. Her shoulders, chest, and hips shift naturally with each motion. Add wet sucking sounds, soft gagging catches, his low groans, her muffled moans, and heavy mutual breathing. Detailed throat and lip animation, visible saliva physics, cinematic anime style.

💡 Tips

• Write one flowing paragraph, not a tag wall.

• Use present-tense verbs: turns, moves, breathes, leans, holds, sways.

• Describe the camera relationship: push-in, slow pan, close handheld angle, static shot.

• Say what should stay stable: face, anatomy, hands, contact, identity.

• Don't overdescribe what the image already shows.

• One main action per generation — if it gets chaotic, simplify instead of adding more.

📊 Known Behavior

• ✅ More motion-biased than a neutral LTX-2.3 checkpoint

• ✅ Stays true to the input image — identity and style hold up across the clip

• ✅ Dancing, singing, and NSFW prompts work well without any extra LoRA

• ✅ Video-to-video and audio + image-to-video work well

• ✅ Strongest results in adult / NSFW image-to-video

• ✅ Depicts adult anatomy (breasts, penis, vulva) more reliably than the neutral base

• ✅ Handles explicit categories (oral, anal, vaginal) well when the source image is clear

• ⚠️ Can exaggerate movement if the prompt is too aggressive

• ⚠️ Works best when the input image is already strong

• ⚠️ Plain text-to-video is noticeably weaker — this version is tuned for image-to-video

• ⚠️ Video editing is untested so far

• ⚠️ Needs the separate distill LoRA for low-step / CFG 1.0 workflows

🚫 What This Model Is Not

• ❌ Not a clean official base model

• ❌ Not a from-scratch fine-tune

• ❌ Not a distilled / Turbo checkpoint

• ❌ Not a text-to-video model — use it with an input image

• ❌ Not a perfectly neutral LTX-2.3 checkpoint

• ❌ Not intended for SFW-only use cases

• ❌ Not guaranteed to fix every hand, face, or temporal artifact

• ❌ Not for minors or illegal/non-consensual content

🛠️ Suggested Workflow

1. Start with a clean, readable image.

2. Load the checkpoint in your LTX-2.3 ComfyUI workflow (ComfyUI/models/checkpoints/).

3. Optional: load the distill LoRA for the fast workflow.

4. Use a short, motion-focused prompt.

5. Without LoRA: 40 steps, CFG 4.0 · With LoRA at 0.8: 8 steps, CFG 1.0, second pass 4 steps.

6. Test a few seeds before changing the whole workflow.

🎞️ Coming soon: a full ComfyUI workflow showing exactly how the gallery example videos were made will be added to this page.

🙏 Credits

• Lightricks — LTX-2.3

• TenStrip — 10Eros LTX-2.3 work

• The creator of the sulphur LTX-2.3 checkpoint

• The ComfyUI & LTX-2.3 workflow community

Adjustment / release: SeeSee21

📜 License

This model is a derivative of LTX-2.3-based checkpoints. Please respect the licenses of the original LTX-2.3 model and all source resources. LTX-2.3 is provided by Lightricks under the LTX-2 community license — commercial users should check the official terms, especially the revenue threshold requiring a separate commercial license.

🔗 Links

• 📦 LTX-2.3 model page (Hugging Face)

• 💻 LTX-2 GitHub

• 🌐 LTX-2.3 overview

• 🧭 ComfyUI LTX-2.3 guide

• 🧩 ltx-2.3-22b-distilled-lora-384-1.1 (for the fast workflow, strength 0.8)

🎬 LTX See Motion — a personal LTX-2.3 adult motion blend for ComfyUI video generation.