aixk / BAAR4-IMG-335M

huggingface.co
Total runs: 203
24-hour runs: 0
7-day runs: 6
30-day runs: 101
Model's Last Updated: September 28 2026
text-to-image

Introduction of BAAR4-IMG-335M

Model Details of BAAR4-IMG-335M

BAAR Logo

BAAR4-IMG-335M (Multilingual)

๐ŸŒ Official Website: https://baar.uk/model/
๐Ÿ“„ License: Non-Commercial Only (Contact for Commercial Pricing)

BAAR4-IMG Sample Output


๐Ÿ–ผ๏ธ Gallery
Prompt
์•„๋ฆ„๋‹ค์šด ์ Š์€ ์—ฌ์„ฑ์˜ ์–ผ๊ตด ์ดˆ์ƒํ™”, ์ž์—ฐ๊ด‘, ์„ ๋ช…ํ•œ ์ดˆ์ , 8k, photorealistic
Negative Prompt
bad anatomy, distorted face, disproportionate, ugly, deformed eyes, extra limbs, cartoon
Prompt
์•„๋ฆ„๋‹ค์šด ์ Š์€ ์—ฌ์„ฑ์˜ ์–ผ๊ตด ์ดˆ์ƒํ™”, ์ž์—ฐ๊ด‘, ์„ ๋ช…ํ•œ ์ดˆ์ , 8k, photorealistic
Negative Prompt
bad anatomy, distorted face, disproportionate, ugly, deformed eyes, extra limbs, cartoon

๐Ÿ“Œ Model Overview

BAAR4-IMG-335M-Realistic4 is an ultra-lightweight, native multilingual text-to-image generation model engineered with approximately 335M parameters. Built from the ground up for extreme efficiency, this model understands direct prompts across 20 major languages (Korean, English, German, Spanish, French, Japanese, Chinese, Italian, Dutch, Polish, Portuguese, Russian, Arabic, Bulgarian, Greek, Hindi, Swahili, Thai, Turkish, and Vietnamese) without requiring external translation pipelines.

Specifically architected to run directly inside client-side web browsers (WebGPU / ONNX Runtime Web / WebAssembly) and edge hardware without relying on expensive server-side GPU instances, it delivers crisp, high-fidelity photorealistic visual generation while maintaining a compact footprint and INT8 quantization friendliness.

BAAR4-IMG-335M-Realistic4 ๋Š” ์•ฝ 3.35์–ต(335M) ํŒŒ๋ผ๋ฏธํ„ฐ ๊ทœ๋ชจ๋กœ ์„ค๊ณ„๋œ ์ดˆ๊ฒฝ๋Ÿ‰ ๋‹ค๊ตญ์–ด ์ง€์› ํฌํ† ๋ฆฌ์–ผ๋ฆฌ์Šคํ‹ฑ ํ…์ŠคํŠธ-ํˆฌ-์ด๋ฏธ์ง€(Text-to-Image) ์ƒ์„ฑ ๋ชจ๋ธ ์ž…๋‹ˆ๋‹ค. ๋ณ„๋„์˜ ๋ฒˆ์—ญ ํŒŒ์ดํ”„๋ผ์ธ ์—†์ด ํ•œ๊ตญ์–ด, ์˜์–ด, ๋…์ผ์–ด, ์ŠคํŽ˜์ธ์–ด, ํ”„๋ž‘์Šค์–ด, ์ผ๋ณธ์–ด, ์ค‘๊ตญ์–ด, ์ดํƒˆ๋ฆฌ์•„์–ด, ๋„ค๋œ๋ž€๋“œ์–ด, ํด๋ž€๋“œ์–ด, ํฌ๋ฅดํˆฌ๊ฐˆ์–ด, ๋Ÿฌ์‹œ์•„์–ด, ์•„๋ž์–ด, ๋ถˆ๊ฐ€๋ฆฌ์•„์–ด, ๊ทธ๋ฆฌ์Šค์–ด, ํžŒ๋””์–ด, ์Šค์™€ํž๋ฆฌ์–ด, ํƒœ๊ตญ์–ด, ํŠ€๋ฅดํ‚ค์˜ˆ์–ด, ๋ฒ ํŠธ๋‚จ์–ด ๋“ฑ 20๊ฐœ ์ฃผ์š” ์–ธ์–ด์˜ ์ž์—ฐ์–ด ํ”„๋กฌํ”„ํŠธ๋ฅผ ์ง์ ‘ ์ดํ•ดํ•˜๊ณ  ์ด๋ฏธ์ง€๋ฅผ ์ƒ์„ฑ ํ•ฉ๋‹ˆ๋‹ค.

๊ณ ๋น„์šฉ ํด๋ผ์šฐ๋“œ GPU ์ธํ”„๋ผ ์˜์กด์„ฑ์„ ์ตœ์†Œํ™”ํ•˜๊ณ , ํด๋ผ์ด์–ธํŠธ ์›น ๋ธŒ๋ผ์šฐ์ €(WebGPU, ONNX Runtime Web, Wasm) ๋ฐ ๋ชจ๋ฐ”์ผยท์—ฃ์ง€(Edge) ์˜จ๋””๋ฐ”์ด์Šค ํ™˜๊ฒฝ์—์„œ ์‹ค์‹œ๊ฐ„ ๋ Œ๋”๋ง์ด ๊ฐ€๋Šฅํ•˜๋„๋ก ์ตœ์ ํ™”๋˜์—ˆ์Šต๋‹ˆ๋‹ค. ๊ทน๋„๋กœ ๋‚ฎ์€ ๋ฉ”๋ชจ๋ฆฌ(VRAM) ์ ์œ ์œจ๊ณผ INT8 ์–‘์žํ™”๋ฅผ ์™„๋ฒฝํ•˜๊ฒŒ ์ง€์›ํ•˜๋ฉด์„œ๋„ ์‚ฌ์‹ค์ ์ด๊ณ  ์„ฌ์„ธํ•œ ์‹ค์‚ฌํ’ ์ด๋ฏธ์ง€ ์ƒ์„ฑ์„ ์‹คํ˜„ํ•ฉ๋‹ˆ๋‹ค.


๐Ÿ“„ License & Commercial Terms (๋ผ์ด์„ ์Šค ๋ฐ ์ƒ์—…์  ์ด์šฉ ์•ˆ๋‚ด)
  • Non-Commercial Use Only (๋น„์ƒ์—…์  ์—ฐ๊ตฌยท๊ฐœ์ธ ์ด์šฉ ํ•œ์ •) :
    This model is strictly available for non-commercial, educational, and research purposes only . Any form of monetization (direct or indirect) without an explicit commercial license is strictly prohibited.
    ๋ณธ ๋ชจ๋ธ์€ ์ˆœ์ˆ˜ ์—ฐ๊ตฌ, ๊ต์œก ๋ฐ ๊ฐœ์ธ ๋น„์˜๋ฆฌ ๋ชฉ์ ์— ํ•œํ•ด ๋ฌด๋ฃŒ๋กœ ์‚ฌ์šฉ ํ•  ์ˆ˜ ์žˆ์Šต๋‹ˆ๋‹ค. ์‚ฌ์ „ ํ—ˆ๊ฐ€ ์—†๋Š” ์ผ์ฒด์˜ ์ˆ˜์ต ์ฐฝ์ถœ ํ–‰์œ„(์งยท๊ฐ„์ ‘์  ์ƒ์—…์  ์ด์šฉ)๋Š” ์—„๊ฒฉํžˆ ๊ธˆ์ง€๋ฉ๋‹ˆ๋‹ค.

  • Monetization & Commercial Licensing Inquiries (์ˆ˜์ต ์ฐฝ์ถœ ๋ฐ ์ƒ์šฉ ๋ผ์ด์„ ์Šค ๋ฌธ์˜) :
    If you wish to monetize, integrate this model into commercial products, provide paid web apps/APIs, or require customized enterprise deployments , you must obtain a separate commercial license. Please reach out via email for licensing terms and enterprise adoption.
    ๋ณธ ๋ชจ๋ธ์„ ํ™œ์šฉํ•˜์—ฌ ์ˆ˜์ต์„ ์ฐฝ์ถœํ•˜๊ณ ์ž ํ•˜๊ฑฐ๋‚˜, ์ƒ์šฉ ์›น ์„œ๋น„์Šค/์œ ๋ฃŒ ์•ฑ์— ํƒ‘์žฌ, ๋˜๋Š” ๊ธฐ์—…์šฉ ์˜จ๋””๋ฐ”์ด์Šค ์†”๋ฃจ์…˜ ๋„์ž… ๋ฐ ๊ธฐ์ˆ  ์ง€์›์ด ํ•„์š”ํ•œ ๊ฒฝ์šฐ ๋ฐ˜๋“œ์‹œ ๋ณ„๋„์˜ ์ƒ์šฉ ๋ผ์ด์„ ์Šค๋ฅผ ์ทจ๋“ํ•˜์…”์•ผ ํ•ฉ๋‹ˆ๋‹ค. ๋„์ž… ๋ฐ ๋ผ์ด์„ ์Šค ๋ฐœ๊ธ‰์€ ์•„๋ž˜ ์ด๋ฉ”์ผ๋กœ ๋ฌธ์˜ํ•ด ์ฃผ์‹œ๊ธฐ ๋ฐ”๋ž๋‹ˆ๋‹ค.


โš ๏ธ Notes (์•ˆ๋‚ด ์‚ฌํ•ญ)
  • Multilingual Native Prompting : Generates images directly from native language prompts (ko, en, de, es, fr, ja, zh, it, nl, pl, pt, ru, ar, bg, el, hi, sw, th, tr, vi) without translation latency.
  • Client-Side Optimization : Designed specifically for WebGPU, WebAssembly (Wasm), and INT8 quantization pipelines ( diffusers , ONNX Runtime).
  • Recommended Inference Setup : For optimal image fidelity and prompt comprehension, Euler A / DPM++ 2M Karras schedulers with 15โ€“25 inference steps at 512ร—512 resolution are recommended.
  • ๋‹ค๊ตญ์–ด ๋„ค์ดํ‹ฐ๋ธŒ ํ”„๋กฌํ”„ํŠธ ์ง€์› : ๋ฒˆ์—ญ API ํ˜ธ์ถœ ์—†์ด 20๊ฐœ ์–ธ์–ด๋กœ ์ž‘์„ฑ๋œ ํ”„๋กฌํ”„ํŠธ๋ฅผ ์ง๊ด€์ ์œผ๋กœ ์ดํ•ดํ•˜๊ณ  ๊ณ ์œ  ๋‰˜์•™์Šค๋ฅผ ๋ฐ˜์˜ํ•œ ์ด๋ฏธ์ง€๋ฅผ ์ƒ์„ฑํ•ฉ๋‹ˆ๋‹ค.
  • ํด๋ผ์ด์–ธํŠธ ์ตœ์ ํ™” ์„ค๊ณ„ : WebGPU, WebAssembly, INT8 ์–‘์žํ™” ๋ฐฐํฌ ํŒŒ์ดํ”„๋ผ์ธ์— ์ตœ์ ํ™”๋˜์–ด ์žˆ์Šต๋‹ˆ๋‹ค.
  • ๊ถŒ์žฅ ์ถ”๋ก  ํŒŒ๋ผ๋ฏธํ„ฐ : ๊ณ ํ’ˆ์งˆ ์‹ค์‚ฌ ๋ Œ๋”๋ง์„ ์œ„ํ•ด 512ร—512 ํ•ด์ƒ๋„ ๊ธฐ์ค€ 15~25 ์Šคํ…์˜ Euler A ๋˜๋Š” DPM++ 2M Karras ์Šค์ผ€์ค„๋Ÿฌ ์‚ฌ์šฉ์„ ๊ถŒ์žฅํ•ฉ๋‹ˆ๋‹ค.

๐Ÿ’ผ Opportunities & Contact (์ฑ„์šฉ ์ œ์•ˆ ๋ฐ ํˆฌ์ž ๋ฌธ์˜)

This project demonstrates practical competency in custom generative model architecture design, multilingual cross-attention integration, model compression/quantization (INT8/Edge), and zero-server-cost in-browser inference deployment under compute constraints.

I am actively seeking AI Engineering / Research opportunities, team recruitment offers, and project investment/partnerships .

  • Official Model Site (๋ชจ๋ธ ๊ณต์‹ ์›น์‚ฌ์ดํŠธ) : https://baar.uk/model/
  • Model Adoption & Licensing (๋„์ž… ๋ฐ ๋ผ์ด์„ ์Šค ๋ฌธ์˜) : [email protected]
  • Recruitment & Hiring Inquiries (์ฑ„์šฉ ๋ฐ ํฌ์ง€์…˜ ์ œ์•ˆ) : [email protected]
  • Investment & Technical Collaboration (ํˆฌ์ž, ํŒŒํŠธ๋„ˆ์‹ญ ๋ฐ ๊ธฐ์ˆ  ํ˜‘์—…) : [email protected]

์ œํ•œ๋œ ํ•˜๋“œ์›จ์–ด ๋ฐ ํด๋ผ์ด์–ธํŠธ ํ™˜๊ฒฝ(์›น, ๋ชจ๋ฐ”์ผ, ์—ฃ์ง€)์—์„œ ๊ตฌ๋™ ๊ฐ€๋Šฅํ•œ ์ดˆ๊ฒฝ๋Ÿ‰ ๋‹ค๊ตญ์–ด ์ƒ์„ฑํ˜• AI ์•„ํ‚คํ…์ฒ˜๋ฅผ ์ง์ ‘ ์„ค๊ณ„ํ•˜๊ณ  ์ตœ์ ํ™” ํŒŒ์ดํ”„๋ผ์ธ์„ ๊ตฌ์ถ•ํ•  ์ˆ˜ ์žˆ๋Š” AI ์—”์ง€๋‹ˆ์–ด์ž…๋‹ˆ๋‹ค. ์ €์˜ ๊ธฐ์ˆ ์  ์—ญ๋Ÿ‰ ์˜์ž…(์ฑ„์šฉ)์ด๋‚˜ ํ”„๋กœ์ ํŠธ ํ˜‘์—…/ํˆฌ์ž์— ๊ด€์‹ฌ์ด ์žˆ์œผ์‹  ๊ธฐ์—… ๋ฐ ํŒ€์˜ ์—ฐ๋ฝ์„ ๊ธฐ๋‹ค๋ฆฝ๋‹ˆ๋‹ค.

Runs of aixk BAAR4-IMG-335M on huggingface.co

203
Total runs
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24-hour runs
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3-day runs
6
7-day runs
101
30-day runs

More Information About BAAR4-IMG-335M huggingface.co Model

More BAAR4-IMG-335M license Visit here:

https://choosealicense.com/licenses/non-commercial-only

BAAR4-IMG-335M huggingface.co

BAAR4-IMG-335M huggingface.co is an AI model on huggingface.co that provides BAAR4-IMG-335M's model effect (), which can be used instantly with this aixk BAAR4-IMG-335M model. huggingface.co supports a free trial of the BAAR4-IMG-335M model, and also provides paid use of the BAAR4-IMG-335M. Support call BAAR4-IMG-335M model through api, including Node.js, Python, http.

BAAR4-IMG-335M huggingface.co Url

https://huggingface.co/aixk/BAAR4-IMG-335M

aixk BAAR4-IMG-335M online free

BAAR4-IMG-335M huggingface.co is an online trial and call api platform, which integrates BAAR4-IMG-335M's modeling effects, including api services, and provides a free online trial of BAAR4-IMG-335M, you can try BAAR4-IMG-335M online for free by clicking the link below.

aixk BAAR4-IMG-335M online free url in huggingface.co:

https://huggingface.co/aixk/BAAR4-IMG-335M

BAAR4-IMG-335M install

BAAR4-IMG-335M is an open source model from GitHub that offers a free installation service, and any user can find BAAR4-IMG-335M on GitHub to install. At the same time, huggingface.co provides the effect of BAAR4-IMG-335M install, users can directly use BAAR4-IMG-335M installed effect in huggingface.co for debugging and trial. It also supports api for free installation.

BAAR4-IMG-335M install url in huggingface.co:

https://huggingface.co/aixk/BAAR4-IMG-335M

Url of BAAR4-IMG-335M

BAAR4-IMG-335M huggingface.co Url

Provider of BAAR4-IMG-335M huggingface.co

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Updated:October 12 2026
huggingface.co

Total runs: 11
Run Growth: 1
Growth Rate: 9.09%
Updated:March 22 2026
huggingface.co

Total runs: 10
Run Growth: 10
Growth Rate: 100.00%
Updated:September 29 2026
huggingface.co

Total runs: 10
Run Growth: 0
Growth Rate: 0.00%
Updated:March 03 2026
huggingface.co

Total runs: 10
Run Growth: -8
Growth Rate: -80.00%
Updated:June 25 2026
huggingface.co

Total runs: 9
Run Growth: -10
Growth Rate: -111.11%
Updated:June 23 2026