Jun Park - Last Reader Standing - SDXL 1.0
by ModelsLabVersion 1.0 Initial release (SDXL)What s new / changedFresh training from scratch on 26 high-resolution images (1024²) covering Jun s signature outfit ( 80 %) and casual looks ( 20 %).Base checkpoint: SDXL 1.0.Kohya pipeline:network dim 32 / alpha 16 ( 55 MB)520 steps over 10 epochsUNet LR 5 × 10 · Text Encoder LR 5 × 10 cosine LR scheduler (3 restarts) · min-SNR = 5 · noise offset = 0.1smart buckets ON, clip-skip 1, batch 4Trigger words: JunPark (LRS) or JunParkLRSAdd JunPark Outfit or JunPark Casual Outfit for clothing control.Recommended weight: 0.7 0.9 (txt2img) · denoise 0.55 0.65 (img2img).Compatible with any SDXL-based checkpoint.Known quirksVery close-up portraits may soften pendant detail; add sharp pendant or lower CFG.Extreme dynamic poses can introduce minor hand artifacts at strength > 0.9.Roadmapv1.1 (planned) dim 64 / alpha 32 build with ~50 image dataset for sharper close-ups and broader lighting variety.Enjoy bringing Jun Park to life feedback is welcome!
jun-park-last-reader-standing-sdxl-1-0Input
Per image generation will cost 0.0047$
For premium plan image generation will cost 0.00$ i.e Free.
Output
Unknown content type
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About Jun Park - Last Reader Standing - SDXL 1.0
Version 1.0 Initial release (SDXL)What s new / changedFresh training from scratch on 26 high-resolution images (1024²) covering Jun s signature outfit ( 80 %) and casual looks ( 20 %).Base checkpoint: SDXL 1.0.Kohya pipeline:network dim 32 / alpha 16 ( 55 MB)520 steps over 10 epochsUNet LR 5 × 10 · Text Encoder LR 5 × 10 cosine LR scheduler (3 restarts) · min-SNR = 5 · noise offset = 0.1smart buckets ON, clip-skip 1, batch 4Trigger words: JunPark (LRS) or JunParkLRSAdd JunPark Outfit or JunPark
Technical Specifications
- Model ID
- jun-park-last-reader-standing-sdxl-1-0
- Provider
- ModelsLab
- Task
- AI Generation
- Price
- $0.0047 per API call
- Added
- July 20, 2025
Quick Start
Integrate Jun Park - Last Reader Standing - SDXL 1.0 into your application with a single API call. Get your API key from the pricing page to get started.
import requestsimport jsonurl = "https://modelslab.com/api/v6/images/text2img"headers = {"Content-Type": "application/json"}data = {"model_id": "jun-park-last-reader-standing-sdxl-1-0","prompt": "your prompt here","key": "YOUR_API_KEY"}try:response = requests.post(url, headers=headers, json=data)response.raise_for_status() # Raises an HTTPError for bad responses (4XX or 5XX)result = response.json()print("API Response:")print(json.dumps(result, indent=2))except requests.exceptions.HTTPError as http_err:print(f"HTTP error occurred: {http_err} - {response.text}")except Exception as err:print(f"Other error occurred: {err}")
Pricing
Jun Park - Last Reader Standing - SDXL 1.0 API costs $0.0047 per API call. Pay only for what you use with no minimum commitments. View pricing plans
Jun Park - Last Reader Standing - SDXL 1.0 FAQ
Version 1.0 Initial release (SDXL)What s new / changedFresh training from scratch on 26 high-resolution images (1024²) covering Jun s signature outfit ( 80 %) and casual looks ( 20 %).Base checkpoint: SDXL 1.0.Kohya pipeline:network dim 32 / alpha 16 ( 55 MB)520 steps over 10 epochsUNet LR 5 × 10 ·
You can integrate Jun Park - Last Reader Standing - SDXL 1.0 into your application with a single API call. Sign up on ModelsLab to get your API key, then use the model ID "jun-park-last-reader-standing-sdxl-1-0" in your API requests. We provide SDKs for Python, JavaScript, and cURL examples in the API documentation.
Jun Park - Last Reader Standing - SDXL 1.0 costs $0.0047 per API call. ModelsLab plans start at $21/month (Basic), and the $149/month Open Source plan includes unlimited generation on open-source models.
The model ID for Jun Park - Last Reader Standing - SDXL 1.0 is "jun-park-last-reader-standing-sdxl-1-0". Use this ID in your API requests to specify this model.
Yes. ModelsLab is subscription-based with no free tier — plans start at $21/month (Basic, 3,250 API calls). The $149/month Open Source Unlimited plan includes unlimited generation across open-source models; premium third-party models are billed per call from your wallet.