ZImageBase / Flux.1 D Soothing Atmosphere

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

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5,809 downloads · 543 likes on Civitai

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Created by

TijuanaSlumlord

on Civitai

by TijuanaSlumlord - Really wish they would put out the Pro version of Flux since this distilled stuff is kinda hard to control and also limited in its flexibility. If you play around with some prompts it always goes to a certain image or something it knows good and is trained on, which results in Flux typical steril look cinematic, photo, certain animals or people etc

Creator notes

zImageBase - V1.0 After quite a few test with different settings, including theory's without any proof, decided to just change all training settings till something works. Did a small test with only 6 images, different styles, photo, illustration etc. After 500 steps it pretty much nailed all images, low style bleeding if any, no flip-flopping of characters changing position, reduced hallucinations, learns faster ( well, it's slow but constant ) and the Lora has more influence even with lower strength ( in some cases you had to crank up the strength over 1.0 which induces artifacts ) This one is just another test with 20 images. Old images with a lot of junk in them, which was wanted to see if it tries to compensate mistakes or learns what is given. This is a version with lower step count. The versions with higher steps where a bit too close to the source images and made the output very rigged even with different seeds. Even this one is kinda strong. I don't trust it fully yet. Currently training stuff with a bigger dataset which takes some time. - AI-Toolkit - Prodigy ( non 8bit, at least i think, if i read the optimizer files correctly ) - Rank 64 ( haven't tested lower ranks yet, just went with it ) - LR: 1 ( Prodigy changes the learning rate dynamically ) - noise_scheduler: "flowmatch" optimizer: "prodigy" timestep_type: "shift" content_or_style: "balanced" optimizer_params: weight_decay: 0.01 ( still needs testing if needed at all, changed it a few times ) d_coef: 1.0 ( also needs testing, changed it to 1.5 for the bigger dataset for now ) decouple: true use_bias_correction: false Take all of this with a big grain of salt ... actually buy a whole salt-mine. With AI it seems no one knows how and why shit works or not. Even the people who made the models don't know what the fuck is going on, all just theory and math. High chance that i'm on the wrong path too, wouldn't be the first time. It did what it's supposed to do for now, so i'll stick with it till problems occur. V.2.0 Added more pictures and higher step count. Recommended to use a low strength or you turn everything into a tentacle monster for whatever reason. Really wish they would put out the Pro version of Flux since this distilled stuff is kinda hard to control and also limited in its flexibility. If you play around with some prompts it always goes to a certain image or something it knows good and is trained on, which results in Flux typical steril look ( cinematic, photo, certain animals or people etc ) I also highly doubt that any of the full checkpoints out there that are trained will ever work. Went trough pretty much every single one of them, but it always comes down to fucked up anatomy or a hardcore bias which you can't negate with negative prompts or prompt weighting since Flux doesn't use this stuff. A picture of a person that is always naked, even if you ask for clothes for example. Doubtful if that even did/does anything in SDXL, never really used that much negative prompts, but it was good enough to get rid of some things you tried to avoid. Strangely enough, all checkpoints that are trained or LoRAfied with a style ( like anime ) work great, even for realistic images, which i pretty much use for all of my pictures ( not here, basic FP8 checkpoint for showcase reason )... so confusing. Trained on a dataset which i planned to use for SDXL, but i never got satisfying results . Just a small test with a few images ( basic capitations for now ) and only 800 steps. Will change that later to natural language. Most used words should be atmospheric, moody, calm, soothing, serene, mysterious ... and assorted ( the images without capitation ... well, that is a capitation, forgot that Kohya picks the name of the folder if no .txt file is present :D ) - Order: First 2 Images with LoRA / without LoRA, after that, reversed order - Has more/less impact in specific cases ( for now ) Did quite some testing with Flux LoRA's I've made and got really crazy results. Even after only like 100 - 200 steps it got the concept and lower/higher strength from base 1 has always a huge impact, but something is always left and it feels like you can kinda pick specific parts from the images it was trained on without it using the whole image ( like you only want the the yellow clothing but nothing else ) Made like 30 LoRA's so far ( only for testing purposes ) and what you can do with just a few images is baffling. Might be just a fluke, who knows.

SHA256

CD7599ECAF0A68ECD08E15615DD28E0002E07FCA76EA3BFAB46E542771B0C249

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Updated Oct 22, 2026

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Also ranked: #465 Hottest AI model · #37 Hottest Flux model

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zImageBase / Flux.1 D Soothing Atmosphere Popularity Trend

Heat score, last 12 months

Heat score

8,206°

This week

▲

0.3%

8,207° then, 8,206° now

This month

▲

1.4%

8,211° then, 8,206° now

Past year

▲

33.5%

8,229° then, 8,206° 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.

+1,130°

Civitai downloads

5,809 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.

+410°

Likes

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

−334°

Age

−334° because the Flux weights came out in 2024. 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 8,206°, 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.
5,809 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.
+1,130°
8,130°
running total
3
Add the likes.
543 likes and thumbs up, at half the weight of a download.
+410°
8,540°
running total
4
Take off the age.
The Flux weights came out in 2024: 150° a year, up to 750°, growing until then.
−334°
8,206°
running total
=
The heat score.
Where this model stands on every list of this site. Nothing else adjusts it.
8,206°

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 Nicetime on

Settings

Sampler

Euler

Steps

Guidance

Seed

2745709515

Size

896x1152

Prompt

hyperrealistic art <lora:FluxMythD1gitalL1nes:1.4> D1gitalL1nes, Night in the garden of the samurai castle. Moonlight breaks through the branches of cherry blossoms. In the background, there are dark silhouettes of towers and andon lanterns. <lora:- Flux1 - soothing_atmo_V2.0:1> atmospheric, moody, mysterious, assorted, Ninja (Attacking): At the highest point of a powerful jump, diving down at an angle of 45 degrees. The body is stretched into a string, the legs are grouped for impact. Classic black shinobi shozoku (ninja costume) with a mask covering the entire face except the eyes. The fabric is torn by the wind. A short sharp kunai or tanto (ninja dagger) is held in the right hand in a reverse grip (the blade along the forearm), pointing the tip down at the target. The blade glitters coldly in the moonlight. incredible speed and power of the jump. Behind him is a plume of dust and falling sakura petals, lifted by a push. Sharp focus on the ninja especially on the dagger and the faces. The background is slightly blurred, Contrasting. Bright moonlight illuminates the stage from above, creating harsh shadows. The warm glow of the andon lanterns illuminates the general from below. Flying sakura petals, dust, perhaps sparks from the incipient movement of the general's sword. Textures of fabric, metal of armor and wood of scabbard. Epic, dynamic, in the style of action anime (senen) or historical manga. The emphasis is on speed, danger and skill of warriors. . extremely high-resolution details, photographic, realism pushed to extreme, fine texture, incredibly lifelike

Negative prompt

uncensored, clothes on legs, double hand, panties, overexposed, blurred details, subtitles, style, artwork, painting, picture, still, overall gray, worst quality, low quality, JPEG compression residue, ugly, incomplete, extra fingers, poorly drawn hands, poorly drawn faces, deformed, disfigured, deformed limbs, fused fingers, still picture, cluttered background, three legs, many people in the background, walking backwards, zoom in, zoom out, talking, (((small breast size))), fat, big pussy, ((girl without head on image)), tattoo, nipples on clothes,, simplified, abstract, unrealistic, impressionistic, low resolution

Render by zidius on

Settings

Sampler

DPM++ 2M

Steps

Guidance

3.5

Seed

897232042303832

Size

832x1216

Clip skip

Prompt

A bioluminescent alien with soft, jellyfish-like features, glowing in shades of pink and blue, and flowing tendrils cascading like hair <lora:Dever_Flux_Enhancer.safetensors:0.5>, <lora:Giger_2_0.safetensors:0.5>, <lora:Movie_Portrait.safetensors:0.4>, <lora:- Flux1 - soothing_atmo_V2.0.safetensors:0.2>, <lora:lith_mimosa_kiel_grw134_FLUX.safetensors:0.35>, <lora:black_fantasy.safetensors:0.5>,

Render by Ajuro on

Settings

Sampler

Undefined

Steps

Guidance

3.5

Seed

1963045758

Size

832x1216

Clip skip

Weight used

0.4

Prompt

A hyperdetailed hyperrealistic moody photorealistic Portrait of a Woman, an analog Photography with deep depth that feels Like A surreal and hyperdetailed Monochrome Line artwork made of lines, created entirely from unbroken bold, flowing thick lines, forming an optical illusion. The image depicts a close-up portrait of a faceless ethereal being, with a busty figure and long, flowing hair seamlessly integrated into the linework. The head is a smooth, black shiny polished orb in place of a face, surrounded by black and white hues. The lines weave together to create intricate patterns and cinematic depth, drawing the viewer's eye through the composition with hypnotic precision, resembling a cyclops-like presence.

Render by Ajuro on

How to install a LoRA: folders, file checks and first use in ComfyUI, Forge, Automatic1111 and Draw Things

Settings

Sampler

Undefined

Steps

Guidance

3.5

Seed

3845664927

Size

832x1216

Clip skip

Weight used

0.3

Prompt

The image is a melancholic photograph of a misty landscape, where the sky is shrouded in dark, brooding clouds that cast a heavy atmosphere over the scene. A large, still body of water stretches across the foreground, reflecting the dull greys of the overcast sky, while distant mountains fade into the mist, their jagged peaks barely visible. On the left side of the image stands a large yellow bird puppet, but its once cheerful, fluffy appearance contrasts sharply with its current mood. The puppet gazes blankly into the distance, its vibrant yellow feathers now dim under the oppressive clouds. Its beak is slightly open, as if lost in a moment of existential questioning, wondering about the meaning of its very existence in this desolate, bleak world. The dark clouds swirl above as if they too are burdened by the weight of uncertainty, adding a sense of impending dread to the scene.

Run Locally

How to install

Sep 24, 2025

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- Flux1 - soothing_atmo_V2.0.safetensors

76 MB · SafeTensor

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- Flux1 - soothing_atmo_V1.0.safetensors

36.62 MB · v1.0 · 0 seeders ·

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- Flux1 - soothing_atmo_V2.0.safetensors

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