Reality transform qwen

Best for beginners. Describe what you want in a chat and the picture comes back, no learning curve.

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Images and video from a chat, with short commands. The most convenient tool for Telegram users, with a web companion.

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Graydient Cloud GPU

10,190 downloads · 723 likes on Civitai

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Created by

aldniki217

on Civitai

Qwen Edit Reality Transform Trigger Word：transform into realistic photography

Creator notes

You can use the online workflow below. If the results are good, you can then try setting it up and running it locally. As a fan benefit, you’ll receive 1,000 points upon registration, plus 100 points for daily logins. Enjoy a smooth experience with an RTX 4090 and 48GB of VRAM. Model Description This is the upgraded version of Kontext Reality Transform, trained on the Qwen Image Edit model, with better results than the original Kontext version! In this version, you can try switching prompts to change the scene of the original image. See the recommended prompts for details. And don't forget the Qwen Image's Chinese characters support. Recommended Settings - Sampler: Euler - LoRA Weight: 1 - CFG: 1.0 (Using the Qwen-Image-Lightning-8steps-V1.1 , acceleration LoRA weight 1.0) - Steps: 8 - Recommended to use high-resolution upscale: 1.5× scale. Denoising set to 0.4. Beta scheduler is recommended, with 8 steps, CFG 1.0, using the Qwen-Image-Lightning-8steps-V1.1, acceleration LoRA weight 0.5. Recommended Prompt Trigger Word：transform into realistic photography Other Prompts： - transform into realistic photography, The background is set next to an everyday shopping street. - transform into realistic photography, change the background to a Japanese anime comiket convention, with a sparse crowd of japanese otaku and various japanese male and female cosplayers walking towards various directions in the background.They are wearing various anime costumes from different manga and anime,they are unware of the viewer, the lighting is natural indoor lighting without flashlight - (Use your imagination) 模型介绍这是此前发布的Kontext Reality Transform的升级版本，基于Qwen Image Edit模型训练，效果比Kontext版更好！此版本可以尝试切换提示词来更改原图的场景，详见提示词推荐。同时不要忘了Qwen Image系列的中文支持。推荐设置 - 采样器: Euler - LoRA 权重: 1 - CFG: 1.0 （使用 Qwen-Image-Lightning-8steps-V1.1 , 加速LoRA权重1.0) - 步数: 8 - 推荐使用高清放大: 1.5倍. 降噪 0.4. Beta 调度器, 8步, CFG 1.0, 使用 Qwen-Image-Lightning-8steps-V1.1, 加速LoRA权重0.5 推荐提示词触发词：transform into realistic photography 其他提示词： - transform into realistic photography, The background is set next to an everyday shopping street. - transform into realistic photography, change the background to a Japanese anime comiket convention, with a sparse crowd of japanese otaku and various japanese male and female cosplayers walking towards various directions in the background.They are wearing various anime costumes from different manga and anime,they are unware of the viewer, the lighting is natural indoor lighting without flashlight - (发挥你的想象)

Trigger words

transform into realistic photography

SHA256

F9D7C2C1E4B5EDFBFACF5841EAF117BD933558DD44072A76A3EB0029ABD2D7ED

Ranking badge

Updated Oct 22, 2026

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Also ranked: #2 Hottest Qwen model · #1 Hottest Qwen LoRA

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reality transform Popularity Trend

Heat score, last 12 months

Heat score

8,518°

This week

▼

0.2%

8,521° then, 8,518° now

This month

▼

1.0%

8,528° then, 8,518° now

Past year

▲

9.1%

8,581° then, 8,518° now

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.

+1,213°

Civitai downloads

10,190 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.

+429°

Likes

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

+60°

Adoption rate

About 5 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.

−184°

Age

−184° because the Qwen weights came out in 2025. Every model inherits the age of the weights it is built on: 150° a year, up to 750°, and it keeps growing until then. Without it the top of the list would be 2022 and 2023 checkpoints on the strength of downloads that had years to pile up.

Show detailed breakdown

Every number on this site can be checked. This model's heat score is 8,518°, 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.
10,190 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.
+1,213°
8,213°
running total
3
Add the likes.
723 likes and thumbs up, at half the weight of a download.
+429°
8,642°
running total
4
Add the adoption rate.
About 5 downloads a day right now, measured between two readings, at a quarter of the weight.
+60°
8,702°
running total
5
Take off the age.
The Qwen weights came out in 2025: 150° a year, up to 750°, growing until then.
−184°
8,518°
running total
=
The heat score.
Where this model stands on every list of this site. Nothing else adjusts it.
8,518°

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.

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Render by OCOMA on Civitai

Render by OCOMA on Civitai

No prompt was shared with this render.

No prompt was shared with this render.

Render by tmxpdlqmfelvbwjs on

Settings

Sampler

res_multistep_simple

Steps

Guidance

Seed

578100690437572

Size

1024x1024

Prompt

transform into realistic photography

Render by Jellai on

Render by tmxpdlqmfelvbwjs on Civitai

Settings

Size

3456x1544

Prompt

transform into realistic photography, and remove the word bubbles. It will be a real photo of a woman standing in a city. The woman is wearing a leather jacket over a tied shirt exposing her midriff. She has her hands in her jacket pockets. She is a little angry, with a closed mouth, and is giving a stern look while glancing to the right. Her hair is in a ponytail and is blowing in the wind. She has a short buckskin skirt and metal belt. She's wearing shiny snakeskin boots, which are reflecting the light from the diner around their edges. She is in front of a man who has a toothpick in his mouth, leaning back against something off-screen, and is smirking with a closed mouth while leering at her. Behind him is an 18-wheeler truck with a partially covered sign that says "HAUL ASS", but only the letters "HA AS" are visible. The truck is blue, with realistic textures from having driven long distances. Also behind them, some people are reaching their arms out to greet each other happily. They are in front of a diner called "Truk Stop Restaurant and Grille", which has a well-lit interior, and a realistic bright sign. Above the diner is a highway bridge, with a street lamp, and trucks/cars driving over the bridge at night. The photo will be in the style of a professional photograph, capturing the detailed and gritty realism of the city. All the characters will be real people, and not drawings. It will look like a real professional photo by a famous photographer.

Negative prompt

drawings, 2D, comic art, illustration, blurry, low quality, low resolution, bad anatomy, deformed, distorted, extra limbs, missing limbs, extra fingers, fused fingers, text, watermark, logo, artifacts, overexposed, underexposed, grainy

No prompt was shared with this render.

Render by SwaggerBoi on

Render by chatgpsteve on Civitai

Settings

Size

546x868

Prompt

transform into realistic photography,

Settings

Sampler

Euler

Steps

Seed

15459398044630

Size

864x1197

Prompt

transform into realistic photography

Negative prompt

色调艳丽，过曝，静态，细节模糊不清，字幕，风格，作品，画作，画面，静止，整体发灰，最差质量，低质量，JPEG压缩残留，丑陋的，残缺的，多余的手指，画得不好的手部，画得不好的脸部，畸形的，毁容的，形态畸形的肢体，手指融合，静止不动的画面，杂乱的背景，三条腿，背景人很多，倒着走

Render by ThomaHM on