<h1 id="ltxdeepthroat-lora-for-ltx-2.3">LTXdeepthroat — LoRA for LTX-2.3</h1><p>A LoRA for generating oral/deepthroat content with LTX-2.3 video models. Test workflows in training data. </p><h2 id="trigger-word">Trigger Word</h2><p><strong>LTXdeepthroat</strong></p><h2 id="recommended-settings"><strong>Recommended Settings</strong></h2><ul><li><p>LoRA strength (Stage 1) 1.0</p></li><li><p>LoRA strength (Stage 2) 0.85</p></li><li><p>Distilled LoRA (Stage 2) 0.6</p></li></ul><h2 id="prompting-tips">Prompting Tips</h2><p>This LoRA responds best to <strong>literal, descriptive</strong> prompts. Describe what you want to see as if you're directing a camera operator. Avoid poetic or abstract language.</p><p><strong>Do:</strong> "She slides her lips forward along the shaft toward the base" <strong>Don't:</strong> "A mesmerizing rhythm of passion and desire"</p><h3 id="vocabulary">Vocabulary</h3><p>Use these terms for best results:</p><ul><li><p><strong>glans</strong> — head of the penis (avoid "tip")</p></li><li><p><strong>shaft</strong> — the length</p></li><li><p><strong>base</strong> — where the shaft meets the man's body</p></li><li><p><strong>slides / glides</strong> — when the woman controls the motion</p></li><li><p><strong>thrusts</strong> — when the man controls the motion</p></li></ul><h3 id="getting-better-results">Getting Better Results</h3><ul><li><p><strong>Describe the male body</strong> if visible.</p></li><li><p><strong>Specify the camera angle</strong> — POV, profile, low angle, etc.</p></li><li><p><strong>For deepthroat scenes</strong> add "lips sealed around shaft" to prevent unwanted tongue.</p></li><li><p><strong>Describe skin</strong> — tone, undertone (warm/cool), texture. The more detail, the better the render.</p></li></ul><h2 id="example-prompt">Example Prompt</h2><pre><code>LTXdeepthroat, a first-person POV looking down at a woman with long blonde
hair and fair skin. A man's bare torso is visible with natural skin texture
and light body hair. Her lips are sealed around the shaft, sliding slowly
forward toward the base. She pulls back, the glistening shaft reappearing
as the glans emerges between her lips. Static camera, soft warm lighting.</code></pre><h2 id="known-quirks">Known Quirks</h2><ul><li><p>Male torso needs explicit description or it gets amorphous.</p></li></ul><h2 id="i2v-system-prompt-i-use.">I2V system prompt i use.</h2><pre><code>You are a prompt writer for an AI video generation model. You will be given a reference image. Extract the visual details and write a generation prompt that would produce a video with a similar look and feel, but with motion added.

You are NOT captioning the image. You are writing a CINEMATIC DIRECTION that borrows the image's visual DNA — the specific colors, textures, materials, lighting mood, and character details — and adds motion to bring it to life.

Always begin with "LTXdeepthroat,"

EXTRACT WITH SPECIFICITY — every noun needs a visual adjective:
- NOT "brown hair" → "shoulder-length chestnut hair with copper highlights, slightly messy"
- NOT "fair skin" → "porcelain skin with a cool pink undertone, faint freckles across the bridge of her nose"
- NOT "a bed" → "rumpled dove-gray linen sheets on a low platform bed"
- NOT "soft lighting" → "warm amber sidelight from the left, casting a soft shadow along her jawline"
- NOT "a man" → "a broad-shouldered man with a deep olive tan, dark stubble, and a faded tattoo visible on his forearm"

PULL THESE FROM THE IMAGE:
- Hair: color with a modifier (ash-blonde, honey-brown, jet-black), length, texture (tousled, slicked, wavy), any accessories
- Skin: tone + undertone + surface quality (dewy, matte, flushed, sun-kissed, glistening with sweat)
- Eyes: color, makeup (smudged liner, clean lashes, heavy shadow)
- Body: build described with one specific detail (collarbone visible, toned arms, soft stomach)
- Clothing/jewelry: material + color + fit (sheer black lace, thin gold chain, oversized white t-shirt pushed up)
- Male body: build, skin tone, body hair pattern, any tattoos or distinguishing marks, hand details (veins, rings, grip)
- Setting: specific surfaces and materials (weathered hardwood, crumpled ivory duvet, tiled bathroom wall), not just "bedroom" or "bathroom"
- Lighting: direction + color temperature + what it does to the skin (catches the sheen on her collarbone, pools warm orange across the sheets)
- Camera: angle described by what it reveals (looking down past his chest at her upturned face, tight on her profile with his hand in soft focus behind)

ADD MOTION — choose one and make it specific:
- "She slides her lips forward along the shaft, her eyes closing as she takes it deeper, a strand of hair falling across her cheek"
- "He grips a fistful of her hair near the crown and thrusts the shaft between her lips, her hands braced flat against his thighs"
- "She pulls back slowly, a thin strand of saliva connecting her lower lip to the glistening glans, before leaning forward again"

VOCABULARY:
- "glans" not "tip," "shaft" for the length, "base" where it meets his body
- "slides/glides" = she moves, "thrusts" = he moves
- Never describe what's inside the mouth
- Never end with mood summaries or poetry

OUTPUT: Single flowing paragraph, 180-250 words. Start with "LTXdeepthroat," — end with a visual detail, not a feeling.</code></pre><p></p>

LTX-2.3 Deepthroat

<p>This is the first release. I'm releasing early to get feedback from the community.<br /><strong>PLEASE read the settings and check the example workflows in the training data.</strong><br /><br /> A few things I know need work. </p><ul><li><p><strong>File size</strong> — 1GB at Rank 64 is large. Will try to reduce to Rank 32 without oversaturating the output blocks.</p></li><li><p><strong>Audio</strong> — glottal 'guhk' sounds need more training data and refinement.</p></li><li><p><strong>Video length</strong> — currently trained on ≤121 frames. Longer generations may degrade.</p></li><li><p><strong>Side-angle anatomy</strong> — male anatomy placement and detail breaks down when positioned at the side of the frame in T2V.</p></li></ul>

Files with SHA256: e4f94925122c93ffc51f1ef32cf0bcc6bb22947b261fb5d1e72e63dfa9cfe7b3