Ether Lab

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Graydient Cloud GPU

561 downloads · 89 likes on Civitai

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Created by

gamerdan69

on Civitai

Creator notes

★🧪 Entering: the Ether Lab 🧪★ Ether Lab: A collection of experimental and WIP models that still feel fun to use or don't belong in a specific 'Ether' release. Please note that these models are unfinished, may behave strangely and likely exhibit other potential quirks. ✨ Please Share Your Cool Creations Below! ✨ * Update: One-WIP-v2 This update looks to further improve the model's aesthetic quality and appeal, particularly within background details, while retaining its focus on flexibility. I pushed plenty of weights within the more aesthetically tuned models as well as adding Coco Style Illustrious, which sadly seems to have been removed. Differences overall will likely be subtle but become more pronounced when upscaling with hires fix. This is probably (hopefully) the last WIP iteration as I plan to go into an even heavier aesthetic focused merge, likely starting with a full (?) release of Ether One Illustrious. Life has picked back up again so apologies in advance if updates are sporadic and far in between. As always thank you so much for your continued love and support. I recommend describing the style (oil painting, messy sketch, anime screenshot etc), adding artist tags and being more descriptive with your prompts. Feel free to mix natural language and booru tags. Looking forward to your feedback! ☄️ Generation Recommendations * All preview images were generated with no LORA's, embeddings, extensions or img to img/inpainting. Just pure text to image with hi-res fix upscaling. Most sample images were generated with: - HxW: 832 x 1216 - Sampler: Eular A - Schedule Type: SGM Uniform - Steps: 28 - 36 - CFG: 6 - 9 - Clip Skip: 1 Quality Tags: masterpiece, best quality, amazing quality, very aesthetic, absurdres, newest Negative Prompt Example: worst quality, low quality, bad quality, bad anatomy, lowres, watermark, signature I recommend this negative prompt if you wish to achieve a similar style to the preview images. You can further alter positive and negative prompts based on the type of style you'd like to achieve. Sample images were further upscaled using Hi-res fix. Please utilize it if you wish to achieve similar results. - Latent (nearest-exact) - Upscale by: 1.5 - Denoising strength: 0.55 Are your results changing too much after Hi-res fix? Please try (Also recommended for simple style illustrations, anime, cartoon, etc.) - 4x-foolhardy-Remarci - Upscale by: 1.5 - Denoising strength: 0.45 - 0.6 📘 Model Merging Info - One-WIP-v2 I have no training or real knowledge of machine learning. I merged the model using the information provided on as well as the ones in I very arbitrarily mixed the UBM weights of each model, modifying the values with trial and error until I was visually satisfied with it. I utilized a mix of the extension for reForge by hako-mikan and silveroxides fork of Please refer to the 'About This Version' for more detailed information. 💙 Acknowledgements Thank you to WarriorMama777 for providing and other various mixes as well as detailing your workflow which inspired me to try mixing my own models. Thank you to hako-mikan for creating the extension allowing a quicker workflow for merging. Thank you to those that have contributed to these and this very detailed Thank you to AngelBottomless and OnomaAI for Thank you to gsdf, rqdwdw for Thank you to Minthybasis for Thank you to asyncforai414 for Thank you to EWIGKEIT0 for and Thank you to the creator of Coco Style Illustrious v2.1 (sorry I don't remember your name) Thank you to AUTO1111 for creating the web UI. Thank you to Panchovix for reForge. Thank you to StabilityAI for starting everything with Stable Diffusion. Thank you to CivitAI and Huggingface for providing places where open source AI can flourish. Thank you to the entire Stable Diffusion and generative art community for continuing to openly share and create.

SHA256

EA86B29CF14A0DBE4FBE3CFD397DEF4FD6B01A34DCDE661A42DBE546A9EF1E86

Ranking badge

Updated Oct 22, 2026

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Also ranked: #49 Hottest Stable Diffusion XL 1.0 base model

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Ether Lab Popularity Trend

Heat score, last 12 months

Heat score

8,141°

This week

▼

0.6%

8,144° then, 8,141° now

This month

▼

2.4%

8,154° then, 8,141° now

Past year

▼

27.7%

8,284° then, 8,141° 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.

+106°

Civitai downloads

561 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.

+1,032°

Generation sites

5,421 downloads and generation runs of this model's copies on Yodayo. Each run counts as one download, and their downloads count like Civitai's; all of it shares the download term.

+342°

Likes

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

+8°

Adoption rate

About 0 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.

+150°

Full model

+150° because this is a full model: a checkpoint, the weights themselves. A LoRA or an embedding is an add-on to someone else's weights and does not outrank a checkpoint of equal popularity.

−497°

Age

−497° because the SDXL weights came out in 2023. 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 8,141°, 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.
5,982 download-equivalents in all, from Civitai downloads, Generation sites. Ten times the downloads adds the same 300°, so size matters but never runs away with the score.
+106° Civitai downloads
+1,032° Generation sites
+1,138°
8,138°
running total
3
Add the likes.
189 likes and thumbs up, at half the weight of a download.
+342°
8,480°
running total
4
Add the adoption rate.
About 0 downloads a day right now, measured between two readings, at a quarter of the weight.
+8°
8,488°
running total
5
Bonus for a full model.
A checkpoint carries the weights themselves; add-ons do not outrank one of equal popularity.
+150°
8,638°
running total
6
Take off the age.
The SDXL weights came out in 2023: 150° a year, up to 750°, growing until then.
−497°
8,141°
running total
=
The heat score.
Where this model stands on every list of this site. Nothing else adjusts it.
8,141°

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

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Render by amioq on

Civitai

Prompt on BunchaPrompts

Settings

Sampler

Euler a

Steps

Guidance

Seed

3105395190

Size

1344x1728

Clip skip

Prompt

masterpiece, high quality, absurdres, best quality, very aesthetic, newest, intricate details, , dynamic pose, dynamic angle, <lora:Niji_cute_style_illustrious:0.3> Cute_niji_style <lora:Seraphitalg XL Vpred Noob:1> <lora:NAI_vpred_fix:0.5> <lora:s3lfxp_noobv_b01:1.4> s3lfxp, watercolor \(medium\), acrylic paint \(medium\), canvas texture, , surreal, BREAK <lora:chemis_cosV1.1_Illustrious:0.5> chemist_cos, blue dress, short over long sleeves, apron, blue head scarf ,bag, gloves, holding matchlock pistol, happy, smile, closed eyes, smug, aiming, :d, (isometric:1.4), from above, firing, fire, smoke, boots, leaning back, leaning forward

Negative prompt

worst quality, ugly, low quality, bad anatomy, bad hands, ugly face

Render by amioq on

Civitai

Prompt on BunchaPrompts

Settings

Sampler

Euler a

Steps

Guidance

Seed

3196640894

Size

896x1152

Clip skip

Prompt

masterpiece, high quality, absurdres, best quality, very aesthetic, newest, intricate details, , dynamic pose, dynamic angle, <lora:Niji_cute_style_illustrious:0.3> Cute_niji_style <lora:Seraphitalg XL Vpred Noob:1> <lora:NAI_vpred_fix:0.5> <lora:s3lfxp_noobv_b01:1.4> s3lfxp, watercolor \(medium\), acrylic paint \(medium\), canvas texture, , surreal, (isometric:1.4), BREAK <lora:FFTgeomancerDim32alpha8_1e-5+_illustrious:0.5> fft_geomancer, long sleeves, wide sleeves, short dress, hood, hood down, gloves ,brown footwear, lace-up boots, boots, knee boot, dual wielding, holding lavish decoration sword, blonde hair, low twintails, hair over shoulder, black background, full body, glance, , twisted torso, happy, head down, arms at sides, looking ahead, smirk, smile, v-shaped eyebrows, looking at another, staring, blush, upturned eyes, looking up, leaning forward, running,

Negative prompt

worst quality, ugly, low quality, bad anatomy, bad hands, ugly face

Render by amioq on

Civitai

Prompt on BunchaPrompts

Render by horgerson on Civitai

Settings

Sampler

Euler a

Steps

Guidance

Seed

3951508140

Size

896x1152

Clip skip

Prompt

masterpiece, high quality, absurdres, best quality, very aesthetic, newest, intricate details, (7010:0.5), , dynamic angle, (dynamic pose:1.4) <lora:Niji_cute_style_illustrious:1> Cute_niji_style <lora:NAI_vpred_fix:0.5> <lora:Seraphitalg XL Vpred Noob:1> BREAK poncho, , hood, cloak, desert, hood up, 2girls, hooded cloak, black footwear, sand, shadow, , outdoors, photo background, from behind, cat hood, day, , black cloak, animal hood, facing away, boots, running, cat ears, animal ears, bag, shoes, black pantyhose, cape, pantyhose, traditional media, full body, , , , sky, cat footprints, fake animal ears, strap, from above

Negative prompt

worst quality, ugly, low quality, bad anatomy, bad hands, ugly face

What is ComfyUI? A beginner's guide to nodes, workflows and the first graph

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Run Locally

How to install

Dec 17, 2025

Open Civitai Download

etherLab_oneWIPV2.safetensors

6.46 GB · SafeTensor · fp16 · pruned

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