andyx1976/checkshirt1 🖼️🔢❓📝✓ → 🖼️
About
Example Output
Prompt:
"
dynamic shots from different angles and zoomed at different body parts from the following scene: two tall, very slim, very young, skinny nerdy male students, age 18 They have the slim, non-muscular every day physique of a teenager boy and fancy nerdy haircuts.
they both wear thin skin-tight formal office checkshirt checkered dress shirts, long sleeve, buttoned up, The very thin, stretchy fabric of the tight shirts mercilessly squeezes the boys chest, arms and stomach, so tightly, the fabric has almost no wrinkles, highlighting theiir chest and breasts. the extremely thin, tight sleeve compresses their muscles. The only thing fitting correctly is the large, high firm and stiff classic spread collar, wide enough for the boys necks.
The shirts are tugged int low-waistline skin-tight dark blue leather jeans,
they each feel very uncomfortable in their own ridiculously tight shirt and pants, but they are fascinated and aroused, by each other, wildly exploring each others shirts and bodies, grabbing and squeezing each others chest, legs, muscles.
The camera catches their body and face fully, The boys are completely unaware of the camera and know no hesitation or moderation.
photo taken outside on a overcast but very hot day, creating a cold ambient light illuminating the subject well , but with not shadows or hard contrasts. the background is a neutral gray wall, with no shadows. Create dynamic, close, intense iterations and close-ups of the following scene, zooming in on dynamic movement, detail the faces, clothing, and physical interactions
"Output
Performance Metrics
7.66s
Prediction Time
8.98s
Total Time
All Input Parameters
{
"model": "dev",
"prompt": "\ndynamic shots from different angles and zoomed at different body parts from the following scene: two tall, very slim, very young, skinny nerdy male students, age 18 They have the slim, non-muscular every day physique of a teenager boy and fancy nerdy haircuts. \n\nthey both wear thin skin-tight formal office checkshirt **checkered dress shirts**, long sleeve, buttoned up, The very thin, stretchy fabric of the tight shirts mercilessly squeezes the boys chest, arms and stomach, so tightly, the fabric has almost no wrinkles, highlighting theiir chest and breasts. the extremely thin, tight sleeve compresses their muscles. The only thing fitting correctly is the large, high firm and stiff classic spread collar, wide enough for the boys necks. \nThe shirts are tugged int low-waistline skin-tight dark blue leather jeans,\nthey each feel very uncomfortable in their own ridiculously tight shirt and pants, but they are fascinated and aroused, by each other, wildly exploring each others shirts and bodies, grabbing and squeezing each others chest, legs, muscles. \n\nThe camera catches their body and face fully, The boys are completely unaware of the camera and know no hesitation or moderation.\n\n photo taken outside on a overcast but very hot day, creating a cold ambient light illuminating the subject well , but with not shadows or hard contrasts. the background is a neutral gray wall, with no shadows. Create dynamic, close, intense iterations and close-ups of the following scene, zooming in on **dynamic** movement, detail the **faces, clothing, and physical interactions**",
"go_fast": false,
"lora_scale": 0.39,
"megapixels": "1",
"num_outputs": 1,
"aspect_ratio": "1:1",
"output_format": "jpg",
"guidance_scale": 3.75,
"output_quality": 100,
"prompt_strength": 0.96,
"extra_lora_scale": 1,
"num_inference_steps": 28
}
Input Parameters
- mask
- Image mask for image inpainting mode. If provided, aspect_ratio, width, and height inputs are ignored.
- seed
- Random seed. Set for reproducible generation
- image
- Input image for image to image or inpainting mode. If provided, aspect_ratio, width, and height inputs are ignored.
- model
- Which model to run inference with. The dev model performs best with around 28 inference steps but the schnell model only needs 4 steps.
- width
- Width of generated image. Only works if `aspect_ratio` is set to custom. Will be rounded to nearest multiple of 16. Incompatible with fast generation
- height
- Height of generated image. Only works if `aspect_ratio` is set to custom. Will be rounded to nearest multiple of 16. Incompatible with fast generation
- prompt (required)
- Prompt for generated image. If you include the `trigger_word` used in the training process you are more likely to activate the trained object, style, or concept in the resulting image.
- go_fast
- Run faster predictions with model optimized for speed (currently fp8 quantized); disable to run in original bf16
- extra_lora
- Load LoRA weights. Supports Replicate models in the format <owner>/<username> or <owner>/<username>/<version>, HuggingFace URLs in the format huggingface.co/<owner>/<model-name>, CivitAI URLs in the format civitai.com/models/<id>[/<model-name>], or arbitrary .safetensors URLs from the Internet. For example, 'fofr/flux-pixar-cars'
- lora_scale
- Determines how strongly the main LoRA should be applied. Sane results between 0 and 1 for base inference. For go_fast we apply a 1.5x multiplier to this value; we've generally seen good performance when scaling the base value by that amount. You may still need to experiment to find the best value for your particular lora.
- megapixels
- Approximate number of megapixels for generated image
- num_outputs
- Number of outputs to generate
- aspect_ratio
- Aspect ratio for the generated image. If custom is selected, uses height and width below & will run in bf16 mode
- output_format
- Format of the output images
- guidance_scale
- Guidance scale for the diffusion process. Lower values can give more realistic images. Good values to try are 2, 2.5, 3 and 3.5
- output_quality
- Quality when saving the output images, from 0 to 100. 100 is best quality, 0 is lowest quality. Not relevant for .png outputs
- prompt_strength
- Prompt strength when using img2img. 1.0 corresponds to full destruction of information in image
- extra_lora_scale
- Determines how strongly the extra LoRA should be applied. Sane results between 0 and 1 for base inference. For go_fast we apply a 1.5x multiplier to this value; we've generally seen good performance when scaling the base value by that amount. You may still need to experiment to find the best value for your particular lora.
- replicate_weights
- Load LoRA weights. Supports Replicate models in the format <owner>/<username> or <owner>/<username>/<version>, HuggingFace URLs in the format huggingface.co/<owner>/<model-name>, CivitAI URLs in the format civitai.com/models/<id>[/<model-name>], or arbitrary .safetensors URLs from the Internet. For example, 'fofr/flux-pixar-cars'
- num_inference_steps
- Number of denoising steps. More steps can give more detailed images, but take longer.
- disable_safety_checker
- Disable safety checker for generated images.
Output Schema
Output
Example Execution Logs
Loaded LoRAs in 0.55s Using seed: 22506 Prompt: dynamic shots from different angles and zoomed at different body parts from the following scene: two tall, very slim, very young, skinny nerdy male students, age 18 They have the slim, non-muscular every day physique of a teenager boy and fancy nerdy haircuts. they both wear thin skin-tight formal office checkshirt **checkered dress shirts**, long sleeve, buttoned up, The very thin, stretchy fabric of the tight shirts mercilessly squeezes the boys chest, arms and stomach, so tightly, the fabric has almost no wrinkles, highlighting theiir chest and breasts. the extremely thin, tight sleeve compresses their muscles. The only thing fitting correctly is the large, high firm and stiff classic spread collar, wide enough for the boys necks. The shirts are tugged int low-waistline skin-tight dark blue leather jeans, they each feel very uncomfortable in their own ridiculously tight shirt and pants, but they are fascinated and aroused, by each other, wildly exploring each others shirts and bodies, grabbing and squeezing each others chest, legs, muscles. The camera catches their body and face fully, The boys are completely unaware of the camera and know no hesitation or moderation. photo taken outside on a overcast but very hot day, creating a cold ambient light illuminating the subject well , but with not shadows or hard contrasts. the background is a neutral gray wall, with no shadows. Create dynamic, close, intense iterations and close-ups of the following scene, zooming in on **dynamic** movement, detail the **faces, clothing, and physical interactions** [!] txt2img mode 0%| | 0/28 [00:00<?, ?it/s] 4%|▎ | 1/28 [00:00<00:06, 3.97it/s] 7%|▋ | 2/28 [00:00<00:05, 4.40it/s] 11%|█ | 3/28 [00:00<00:05, 4.25it/s] 14%|█▍ | 4/28 [00:00<00:05, 4.18it/s] 18%|█▊ | 5/28 [00:01<00:05, 4.13it/s] 21%|██▏ | 6/28 [00:01<00:05, 4.10it/s] 25%|██▌ | 7/28 [00:01<00:05, 4.09it/s] 29%|██▊ | 8/28 [00:01<00:04, 4.06it/s] 32%|███▏ | 9/28 [00:02<00:04, 4.06it/s] 36%|███▌ | 10/28 [00:02<00:04, 4.03it/s] 39%|███▉ | 11/28 [00:02<00:04, 4.04it/s] 43%|████▎ | 12/28 [00:02<00:03, 4.04it/s] 46%|████▋ | 13/28 [00:03<00:03, 4.05it/s] 50%|█████ | 14/28 [00:03<00:03, 4.05it/s] 54%|█████▎ | 15/28 [00:03<00:03, 4.06it/s] 57%|█████▋ | 16/28 [00:03<00:02, 4.05it/s] 61%|██████ | 17/28 [00:04<00:02, 4.06it/s] 64%|██████▍ | 18/28 [00:04<00:02, 4.05it/s] 68%|██████▊ | 19/28 [00:04<00:02, 4.05it/s] 71%|███████▏ | 20/28 [00:04<00:01, 4.05it/s] 75%|███████▌ | 21/28 [00:05<00:01, 4.06it/s] 79%|███████▊ | 22/28 [00:05<00:01, 4.04it/s] 82%|████████▏ | 23/28 [00:05<00:01, 4.05it/s] 86%|████████▌ | 24/28 [00:05<00:00, 4.05it/s] 89%|████████▉ | 25/28 [00:06<00:00, 4.06it/s] 93%|█████████▎| 26/28 [00:06<00:00, 4.05it/s] 96%|█████████▋| 27/28 [00:06<00:00, 4.06it/s] 100%|██████████| 28/28 [00:06<00:00, 4.06it/s] 100%|██████████| 28/28 [00:06<00:00, 4.07it/s] Total safe images: 1 out of 1
Version Details
- Version ID
925ee0f90955742c95534921c5956f051cd16de5381af140fae817530ce0dbe3- Version Created
- August 6, 2025