Model
.ai
tracking open ai models

LMS A Little More Sharpness

8582°
LMS   A Little More Sharpness
Created by
NRDX
on Civitai
by NRDX - LMS - A Little More Sharpness. This is not an upscaler. It does not change your video's resolution or size. It works on the detail already in the frame — enriching it, or reshaping it, depending on how hard you push it.
Creator notes
A Little More Sharpness This is not an upscaler. It does not change your video's resolution or size. It works on the detail already in the frame — enriching it, or reshaping it, depending on how hard you push it. What it does Trained mostly on real photography and video, with a strong focus on human subjects. - On real footage — sharpens and enriches detail: skin, hair, fabric, edges. - On anime, cartoon or stylized footage — pushes the subject toward a more humanized rendering (LTX 2.5 version). Both behaviours come from the same mechanism. This LoRA is an extension of anime2real, which was built to turn stylized footage into realistic footage, so that pull toward realism is inherited. Feed it non-real input and expect some of it. The name is modest on purpose, but be aware the effect is not always subtle — at higher strength it can do more than sharpen. One of the main goals of this LoRA is to serve as a second pass for videos generated by any model, but especially Minimax H3 (LTX 2.5 version). Strength is the control This is the single knob that matters. Low strength leans toward enhancement, high strength leans toward transformation. There is no "correct" value — it depends on your source and the look you want. Start low and raise it until it lands. Notes Runs as a v2v pass over existing footage. Trained on human-centric content — results on non-human subjects are untested.
Trigger words
Enhance this video with sharp, crisp details while preserving a natural photorealistic appearance.
2,495 downloads · 200 likes on Civitai
SHA256
071454F9B5A954EB0FB99C8B4470993A1A0100B7093A4DFFF79DF5225D4DC575
LMS A Little More Sharpness Popularity Trend
Heat score since 8 Sep 2026
Heat score
8,582°
This week
▲
5.3%
8,571° then, 8,582° now
This month
▲
42.6%
8,509° then, 8,582° now
Past year
n/a
Wasn't released/tracked
LMS A Little More Sharpness: Heat score since 8 Sep 20267,000°7,443°7,886°8,329°8,772°9 Sep17 Sep26 Sep5 Oct14 Oct22 Oct8,582°ModelTrends.ai
7,000°
Floor
The scale runs from 0° to 9,999°. Everything below 7,000° is kept for models no source reports on yet, which carry a stand-in number there so lists stay complete. 7,000° is where measured data begins: a model with real data but almost no downloads sits at the floor, and the measurements fill the degrees above it. The floor says nothing about the model; only the degrees above it do, and they are what separates one model from another.
+1,040°
Civitai downloads
2,495 downloads of this exact version on Civitai. Downloads are the heaviest ingredient and are counted on a log scale: ten times the downloads adds the same 300°, so a model with a million downloads is not a thousand times hotter than one with a thousand. The six download sources share that one term, split between them in proportion to their counts.
+345°
Likes
200 likes and thumbs up across the sources. A like weighs half a download, on the same log scale.
+97°
Adoption rate
About 19 downloads a day, measured between two readings of the sources, never guessed from a lifetime average. Speed weighs a quarter of the download term, so a fresh surge shows without letting a one-day spike outrank years of use.
+100°
Family boost
+100° because this is a LoRA of a family this site is nudging forward right now. It is a bounded nudge inside the score and is listed here openly; it can never hide a model or outweigh a thousandfold difference in downloads.
Show detailed breakdown
Every number on this site can be checked. This model's heat score is 8,582°, and here it is built one ingredient at a time, with the running total after each: the floor, the degrees each source adds, the bonus for the kind of model and what the age of its weights takes away. The colors are the bands of the chart above. The glossary at the end defines every term.
  1. 1
    Start at the floor.
    Why 7,000° and not zero: the scale runs from 0° to 9,999°, and the part below 7,000° is reserved for models no source reports on yet, which carry a stand-in number there so the lists stay complete and never outrank a model with data. 7,000° is where measured data begins. A model with real data but almost no downloads sits here; everything that follows is measurement, and the room above the floor holds ten tenfold steps in downloads at 300° each. The floor is the same for every model, so it decides nothing; the degrees above it do.
    7,000°
    running total
  2. 2
    Add the downloads.
    2,495 download-equivalents in all, from Civitai downloads. Ten times the downloads adds the same 300°, so size matters but never runs away with the score.
    +1,040°
    8,040°
    running total
  3. 3
    Add the likes.
    200 likes and thumbs up, at half the weight of a download.
    +345°
    8,385°
    running total
  4. 4
    Add the adoption rate.
    About 19 downloads a day right now, measured between two readings, at a quarter of the weight.
    +97°
    8,482°
    running total
  5. 5
    Family boost.
    An open, bounded nudge for LoRAs of a family this site is pushing forward right now.
    +100°
    8,582°
    running total
  6. =
    The heat score.
    Where this model stands on every list of this site. Nothing else adjusts it.
    8,582°
Glossary: the terms used here
Heat score
One number for how much a model is used and wanted right now, from 0° to 9,999°. Every list on this site that says hottest is sorted by it and nothing else.
Floor
The 7,000° every model with real data starts from. The scale runs from 0° to 9,999°; the part below the floor is reserved for stand-ins (models without data), so that a model with data always ranks above one without. The floor is the same for everyone and decides nothing; the degrees above it are the measurement.
Download-equivalents
Everything the score treats as a download, added up: downloads themselves, each torrent seeder as 1,000, each AI Horde image and each run on a generation site as one.
Log scale
Counting by tens, not by ones: going from 1,000 to 10,000 downloads adds the same degrees as going from 10,000 to 100,000. It keeps giants from crowding out everything else.
Likes
Thumbs up and likes from every source, worth half a download each on the log scale.
Adoption rate
How many downloads a day a model gets right now, from the difference between two readings of a source. A quarter of the weight of the download term.
Measured and estimated
Measured means two readings of a source exist and the difference is real. Estimated means only today's total is known and the past is spread over the model's life; the site says which one it is showing.
Seeder
Someone who keeps a copy of the weights online for others to download over a torrent, or a hosted mirror doing the same. Each one counts as 1,000 downloads.
AI Horde
A volunteer network that generates images for free on donated computers. The number of images it has made with a model is public, and each counts as one download.
Generation sites
Sites that host their own copies of a model and let people generate with it, such as PixAI, SeaArt and Yodayo. Their downloads count like Civitai's and each generation run as one download.
OpenRouter tokens
A text model served through an API, such as Claude or GPT, has no weights to download, so its usage is measured in tokens: the pieces of text it read and wrote through OpenRouter, a gateway many apps use, over the last 30 days. Every 10,000,000 tokens count as one download. Source: OpenRouter (openrouter.ai/rankings), CC BY 4.0.
Full model (checkpoint)
The weights themselves, the file that generates on its own. It gets a bonus because add-ons depend on it.
LoRA and embedding
Small add-on files that steer someone else's weights toward a style, a character or a concept. They cannot run alone.
Family and weights
The base a model is built on, such as SD 1.5, SDXL, Flux or Wan. Every model inherits the release date of its family's weights.
Age
Degrees taken off for how long ago the family's weights came out: 150° a year, up to 750°. It keeps old downloads that had years to pile up from freezing the top of the list.
Family boost
A small, bounded nudge for LoRAs of a family this site is pushing forward right now, always listed in the breakdown.
Stand-in score
A stable number below the floor given to a model no source reports on yet, so lists stay complete. It never ranks above a model with data.
New! (grace period)
A model less than 7 days old shows New! instead of a score and holds no place in the rankings. Its score is computed from day one, but a model one day old grows faster than anything, so without the wait the week's #1 would always be whatever came out yesterday rather than what held up for a week.
Trend
How a model's growth over a period compares with the typical model's growth over the same period. Faster than typical reads as a rise, slower as a fall.
Typical model
The middle of the catalog: half the models with a figure grew faster over the period, half slower.
How this model's popularity has moved against the rest of the catalog: its growth in downloads, likes and usage over each period, measured against the typical model's growth over the same period, with its heat score at the time. Above the typical growth reads as a rise, below it as a fall. The past is reconstructed from today's totals, the model's first day and its measured download speed where two readings exist; a model that did not exist at the start of a period shows n/a.
Example renders
Prompts and settings shared by the people who made these renders on Civitai. Pick a render to see how it was made.
Settings
Size
672x928
Prompt
For the target video, at 0.00 seconds into the target video, <Picture 1> (from [Shot 1]) is fully referenced. integrated_multimodal_description: [Shot 1] 2D-animated, cinematic, a medium-wide shot frames the red-haired fox girl with large golden eyes and pointed ears, kneeling on a plain white floor in a stylized black-and-white schoolgirl outfit with thigh-high stockings and black boots. She sits with her head slightly tilted, one hand resting on her knee, the other near her hip, looking directly forward with a calm, neutral expression. The camera holds a static shot as she begins to focus — her eyes narrow slightly, pupils dilate, and her ears twitch downward before suddenly pricking up with sharp, alert motion. Her head tilts just a fraction upward, and her gaze sharpens as if tracking something off-screen. Her tail curls slightly behind her as she shifts her weight subtly, preparing for movement. At 00:03.500, the camera cuts to a close-up of her face as she blinks once, then her ears snap upright in unison with a quick, synchronized motion — the fur along their edges flickers slightly. Her expression remains neutral but intensely focused, her lips parting just barely as if about to speak or react. She remains still for a moment, then slowly lifts her right hand toward her ear, fingers curling gently as if adjusting something or listening more closely. The shot ends with her ears fully erect, the tail curled tighter around her body, and her gaze locked forward, ready to respond. overall_soundscape: A soft, ambient hum of studio lighting fades in as a faint, distant wind rustles through the background. The girl’s breath is barely audible, but her movements are crisp and silent — no footsteps, no ambient noise — only the subtle shift of fur and fabric as she adjusts her posture. non_diegetic_music: Gentle, minimal piano notes at a slow tempo, with a single sustained string note that rises slightly as her ears prickle up, then fades out as she settles into focus.
Settings
Size
1152x1072
Prompt
⁥⁥Enhance this video with sharp, crisp details while preserving a natural photorealistic appearance.
Settings
Size
1536x816
Prompt
Enhance this video with sharp, crisp details while preserving a natural photorealistic appearance.
Settings
Size
672x928
Prompt
subject_definitions: <Subject 1> is the witch in <Picture 1>, with long dark braided hair, wearing a tall pointed hat and a dark ornate robe, seated at a wooden table. <Picture 1> is the reference image for the witch’s appearance and environment in [Shot 1] and [Shot 3]. <Picture 2> is the visual reference for the content that materializes inside the crystal ball in [Shot 2]. summary: [video continuation + keyframe completion] The video begins with a close-up of a witch manipulating a glowing crystal ball, then transitions to a POV shot revealing a “Generation failed” error message emerging from the ball, before cutting back to the initial frame where she sighs in annoyance. retention_analysis: <Subject 1> (appears in [Shot 1], [Shot 3]): fully_preserved - her appearance, clothing, and seated posture are retained. <Picture 1> ([Shot 1] first frame): fully_preserved - composition, lighting, and environment are preserved as the starting point. <Picture 2> ([Shot 2]): fully_preserved - the “Generation failed” text and warning icon are directly rendered inside the crystal ball. No video or audio references are defined. detailed_description: The scene opens with a realistic 3D CGI depiction of <Subject 1>, the witch, seated at a wooden table in a dimly lit, book-filled study. She wears a tall, textured black witch’s hat and an ornate dark robe with intricate embroidery. Her long dark hair is braided over one shoulder. In front of her rests a glowing crystal ball on an ornate stand, emitting swirling purple energy. An open spellbook lies beside it, and parchment scrolls are scattered across the table. Candles flicker in the background, casting warm light against stone walls and green curtains. The camera slowly pushes in on her hands as they hover around the ball, then smoothly zooms into a medium shot focusing on her face — calm, focused, and slightly amused. The camera then pans 90° clockwise to center on the crystal ball, transitioning seamlessly into a first-person view (POV) looking directly through the ball’s surface. At 06.00, the crystal ball’s interior suddenly shifts: a blurry, ominous dark cloud swirls violently at its center. From this vortex, the image of <Picture 2> — a red warning triangle and the text “Generation failed... try again later” — begins to grow outward, materializing as if being summoned from within the ball. The POV perspective reveals her hands gripping the edges of the crystal ball on either side, as if anchoring the projection. At 08.00, the scene cuts abruptly back to the exact frame of [Shot 1]. <Subject 1> leans back in her chair, takes a deep breath, lifts her chin, and looks upward with a weary, exasperated expression. Her voice, delivered off-screen by (S1), carries a tone of annoyance: <d>Not - again</d>. overall_soundscape: N/A non_diegetic_music: N/A
Settings
Size
1792x720
Prompt
Enhance this video with sharp, crisp details while preserving a natural photorealistic appearance.
Settings
Size
640x960
Prompt
integrated_multimodal_description: [Shot 1] 3D animated-film style, a vibrant green parrot with detailed feather textures and expressive eyes walks confidently across a sleek, modern desk toward the camera. As it approaches, it turns its head slowly to scan the room, its beak slightly open as if curious. It stops abruptly, leans forward slightly, and whispers in a soft, conspiratorial tone: <d>[English] Hey - listen</d>. It then takes three deliberate steps closer, tilts its body forward, and leans directly into the camera lens while lifting its left wing — revealing an array of gleaming DDR5 DIMM RAM modules nestled beneath the feathers. The parrot gazes at the modules with a knowing look, whispering again: <d>[English] Do you need more RAM?</d> before glancing away with a sly smirk. It then turns back to the camera and begins to repeatedly raise and lower its eyebrows in a playful, exaggerated manner, as if teasing or challenging the viewer. overall_soundscape: Soft ambient office hum, faint keyboard clicks in the background, subtle rustling of feathers as the parrot moves, quiet breathing and a whispery vocal tone for the dialogue. non_diegetic_music: N/A
Settings
Size
1536x816
Prompt
Enhance this video with sharp, crisp details while preserving a natural photorealistic appearance.
Settings
Size
1008x1392
Prompt
style: high-end 3D CG rendering. high definition digital media. intricate soft shadow quality; 10s long; initial composition: android in <Picture 2> with short blue hair, glowing robotic cat ears and robotic white tail with multiple joints, white mechanical arms and legs. blue skirt, she is walking on reflective wet street. cyberpunk, futuristic city street. action: camera zooms-in as she kneels on one knee, leans forward and puts one hand on the floor front of her, other hand on her knee. glowing blue eyes. her expression is serious and focused. camera turns and moves slightly left. her joints beging to glow in blue, illuminating the small area around them. they light up one-by-one in the following order: ankles, knees, wrists, elbows, shoulders, series of her tail joints. camera tilts up to a close-up details: emotions and refined facial expressions. physically based motion: natural breathing, posture, weight shifts, body/hand movement, hair and clothing reacting naturally to gravity and movement; soft body collision detection without any clipping or merging. keep the environment physically stable. non_diegetic_music: gradually increasing, rhythmic beats.
Run Locally
Sharpness H3.json
0 MB · Other
minimax_h3_lms_v1.0_r64.safetensors
1.15 GB · SafeTensor · fp16
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