Anything2RealCharacters Krea2_v3

8721°

#anime #edits #effects #realistic #anything2real #artstyles

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Anything2RealCharacters V3 for Krea 2: turn 2D art into photorealistic people

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Created by

AIGC_Singularity

on Civitai

by AIGC_Singularity - Krea2_Anything2RealCharacters V3

Creator notes

Krea2_Anything2RealCharacters (V3 Release) Krea2_Anything2RealCharacters-V3 is a high-resolution Image-to-Image / stylization LoRA model fine-tuned on top of Krea2_Turbo. It is specifically optimized to translate any 2D, anime, or artistic input into a high-fidelity, photorealistic style with fine skin micro-textures and precise facial details. 💡 What's New in V3 - Complete Realism Conversion: Fixed the incomplete realism translation in V2.5, delivering significantly more authentic and natural photorealistic results. - Enhanced Character Consistency: Achieves vastly superior character feature retention and identity consistency compared to the original V1 release. - Released as LoRA for Maximum Flexibility: Unlike V2 and V2.5, V3 is released as a LoRA. This provides much stronger compatibility when stacking external Krea2 style or character LoRAs, opening up endless possibilities for custom aesthetics. Special thanks to our community group members for their valuable test feedback! Unless critical issues arise, V3 will serve as the final release for the foreseeable future. For commercial inquiries, feel free to reach out. 🙏 🚀 Workflows & Online Demo - Try Online Demo: - Download ComfyUI Workflows: ✨ Key Features - Native 2048px Resolution Training: Trained on a full dataset at 2048×2048 resolution, allowing high-resolution direct outputs without additional upscalers. - Micro-Texture Detail: High-precision rendering of skin pores, hair strands, and realistic lighting. - LoRA Stacking & Compatibility: Fully compatible with external Krea2 Text-to-Image (T2I) LoRAs and face/character LoRAs for adjusting photography styles, lighting, and facial genetics. - Embedded Style & Feature Triggers: Fine-tuned support for custom film filters, lighting setups, and specific feature keywords. - Dual-Image Identity Transfer (Experimental): Supports transferring real-world identities from a reference image onto anime/stylized poses. ⚙️ Recommended Inference Settings ParameterRecommended ValueDescriptionBase ModelKrea2 TurboCore architectureLoRA Weight0.8 – 1.0Adjust based on style intensitySampler Steps8 – 10Matches the Krea2 Turbo architectureCFG Scale1.0Prevents over-saturation and artifactsTarget Resolution2048 × 2048Native 2K outputCLIP / VAEStandard ComfyUI ModelsDownload official weights from ComfyUI Repository 🔑 Prompting & Trigger Words Primary Trigger Include the main trigger phrase at the start of your positive prompt: transform the image to realistic photograph Auxiliary Triggers & Filters Mix and match these trained keywords to modify style, lighting, or body features: - Demographics: caucasian, woman, man, muscular - Gaze & Angles: looking at camera, look down, unfocused face - Lighting & Aesthetics: backlight, Film filter, hazy, photorealistic, highly detailed - Attire & Features: black stockings, white stockings - Anatomical Details: pubic hair, labia 🧪 Dual-Image Persona Conditioning (Experimental) For transferring a real-world face onto a 2D/anime pose: - Figure 1: Base anime image (determines pose and structure). - Figure 2: Reference person image (determines real-world identity). - Dual-Image Trigger Phrase: with the character looking exactly like the one in Figure 2 ⚠️ Note: Dual-image feature transfer is experimental and results may vary depending on the seed and input alignment.

4,883 downloads · 340 likes on Civitai

SHA256

6455A87697F0202C5490480A89976562AE524FB551877752BC3F5FA54E1858C7

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Updated Oct 22, 2026

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Also ranked: #11 Hottest Krea2 model · #10 Hottest Krea2 LoRA

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Anything2RealCharacters Krea2_v3 Popularity Trend

Heat score since 22 Aug 2026

Heat score

8,721°

This week

▲

4.5%

8,711° then, 8,721° now

This month

▲

28.5%

8,667° then, 8,721° now

Past year

n/a

Wasn't released/tracked

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.

+1,127°

Civitai downloads

4,883 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.

+380°

Likes

340 likes and thumbs up across the sources. A like weighs half a download, on the same log scale.

+114°

Adoption rate

About 33 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 8,721°, 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
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
Add the downloads.
4,883 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.
+1,127°
8,127°
running total
3
Add the likes.
340 likes and thumbs up, at half the weight of a download.
+380°
8,507°
running total
4
Add the adoption rate.
About 33 downloads a day right now, measured between two readings, at a quarter of the weight.
+114°
8,621°
running total
5
Family boost.
An open, bounded nudge for LoRAs of a family this site is pushing forward right now.
+100°
8,721°
running total
=
The heat score.
Where this model stands on every list of this site. Nothing else adjusts it.
8,721°

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.

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