rrsimmonds/xshnx3500 πΌοΈπ’βπβ β πΌοΈ
About

Example Output
"The image shows a XshnX woman, possibly in her late thirties or early forties , with brown hair. She appears to be lounging back legs bent on a sofa looking directly at viewer, alone in a brightly lit dive hotel room. The woman is wearing an extra loose fitting menβs long sleeved button down dress shirt that is fully unbuttoned and completely open in the front to expose her cleavage but still covering her nipples and lace thong panties. The woman seems to be of Caucasian race, with a potentially upper-middle-class income, possibly between $50,000 and $100,000 per year. Her religious beliefs and political affiliations are difficult to ascertain from just an image. She appears calm and content, possibly slightly playful, in the image. Her clothing suggests a relaxed and comfortable demeanor, although her makeup is rather precise and suggests an interest in beauty and style. Some potential interests include fashion, makeup, and photography, and, potentially, online gaming or social media, shopping, and excessive screen time. She seems serene and stylish, radiating an aura of quiet confidence. We can target her with beauty products, luxury items and subscription boxes, such as Sephora collections, Glossier skincare, and Stitch Fix styling services, and other similar premium goods."
Output

Performance Metrics
All Input Parameters
{ "model": "dev", "width": 1024, "height": 768, "prompt": "The image shows a XshnX woman, possibly in her late thirties or early forties , with brown hair. She appears to be lounging back legs bent on a sofa looking directly at viewer, alone in a brightly lit dive hotel room. The woman is wearing an extra loose fitting menβs long sleeved button down dress shirt that is fully unbuttoned and completely open in the front to expose her cleavage but still covering her nipples and lace thong panties. The woman seems to be of Caucasian race, with a potentially upper-middle-class income, possibly between $50,000 and $100,000 per year. Her religious beliefs and political affiliations are difficult to ascertain from just an image. She appears calm and content, possibly slightly playful, in the image. Her clothing suggests a relaxed and comfortable demeanor, although her makeup is rather precise and suggests an interest in beauty and style. Some potential interests include fashion, makeup, and photography, and, potentially, online gaming or social media, shopping, and excessive screen time. She seems serene and stylish, radiating an aura of quiet confidence. We can target her with beauty products, luxury items and subscription boxes, such as Sephora collections, Glossier skincare, and Stitch Fix styling services, and other similar premium goods.", "go_fast": false, "lora_scale": 1, "megapixels": "1", "num_outputs": 1, "aspect_ratio": "custom", "output_format": "png", "guidance_scale": 3, "output_quality": 100, "prompt_strength": 0.8, "extra_lora_scale": 1, "num_inference_steps": 46 }
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
free=28687820267520 Downloading weights 2025-02-26T02:03:02Z | INFO | [ Initiating ] chunk_size=150M dest=/tmp/tmp4refc_3_/weights url=https://replicate.delivery/yhqm/kmBESBF5PuoWP9wTlfXYa6P7ieuVJsnYHk6wpzNPB4lfId5mA/trained_model.tar 2025-02-26T02:03:04Z | INFO | [ Complete ] dest=/tmp/tmp4refc_3_/weights size="172 MB" total_elapsed=1.569s url=https://replicate.delivery/yhqm/kmBESBF5PuoWP9wTlfXYa6P7ieuVJsnYHk6wpzNPB4lfId5mA/trained_model.tar Downloaded weights in 1.60s Loaded LoRAs in 2.15s Using seed: 53005 Prompt: The image shows a XshnX woman, possibly in her late thirties or early forties , with brown hair. She appears to be lounging back legs bent on a sofa looking directly at viewer, alone in a brightly lit dive hotel room. The woman is wearing an extra loose fitting menβs long sleeved button down dress shirt that is fully unbuttoned and completely open in the front to expose her cleavage but still covering her nipples and lace thong panties. The woman seems to be of Caucasian race, with a potentially upper-middle-class income, possibly between $50,000 and $100,000 per year. Her religious beliefs and political affiliations are difficult to ascertain from just an image. She appears calm and content, possibly slightly playful, in the image. Her clothing suggests a relaxed and comfortable demeanor, although her makeup is rather precise and suggests an interest in beauty and style. Some potential interests include fashion, makeup, and photography, and, potentially, online gaming or social media, shopping, and excessive screen time. She seems serene and stylish, radiating an aura of quiet confidence. We can target her with beauty products, luxury items and subscription boxes, such as Sephora collections, Glossier skincare, and Stitch Fix styling services, and other similar premium goods. [!] txt2img mode 0%| | 0/46 [00:00<?, ?it/s] 2%|β | 1/46 [00:00<00:38, 1.17it/s] 4%|β | 2/46 [00:01<00:19, 2.25it/s] 7%|β | 3/46 [00:01<00:14, 3.03it/s] 9%|β | 4/46 [00:01<00:11, 3.63it/s] 11%|β | 5/46 [00:01<00:10, 4.07it/s] 13%|ββ | 6/46 [00:01<00:09, 4.40it/s] 15%|ββ | 7/46 [00:01<00:08, 4.63it/s] 17%|ββ | 8/46 [00:02<00:07, 4.80it/s] 20%|ββ | 9/46 [00:02<00:07, 4.92it/s] 22%|βββ | 10/46 [00:02<00:07, 4.99it/s] 24%|βββ | 11/46 [00:02<00:06, 5.05it/s] 26%|βββ | 12/46 [00:02<00:06, 5.10it/s] 28%|βββ | 13/46 [00:03<00:06, 5.12it/s] 30%|βββ | 14/46 [00:03<00:06, 5.14it/s] 33%|ββββ | 15/46 [00:03<00:06, 5.16it/s] 35%|ββββ | 16/46 [00:03<00:05, 5.17it/s] 37%|ββββ | 17/46 [00:03<00:05, 5.18it/s] 39%|ββββ | 18/46 [00:04<00:05, 5.18it/s] 41%|βββββ | 19/46 [00:04<00:05, 5.19it/s] 43%|βββββ | 20/46 [00:04<00:05, 5.19it/s] 46%|βββββ | 21/46 [00:04<00:04, 5.19it/s] 48%|βββββ | 22/46 [00:04<00:04, 5.19it/s] 50%|βββββ | 23/46 [00:05<00:04, 5.20it/s] 52%|ββββββ | 24/46 [00:05<00:04, 5.20it/s] 54%|ββββββ | 25/46 [00:05<00:04, 5.19it/s] 57%|ββββββ | 26/46 [00:05<00:03, 5.19it/s] 59%|ββββββ | 27/46 [00:05<00:03, 5.19it/s] 61%|ββββββ | 28/46 [00:06<00:03, 5.19it/s] 63%|βββββββ | 29/46 [00:06<00:03, 5.20it/s] 65%|βββββββ | 30/46 [00:06<00:03, 5.20it/s] 67%|βββββββ | 31/46 [00:06<00:02, 5.19it/s] 70%|βββββββ | 32/46 [00:06<00:02, 5.19it/s] 72%|ββββββββ | 33/46 [00:06<00:02, 5.19it/s] 74%|ββββββββ | 34/46 [00:07<00:02, 5.20it/s] 76%|ββββββββ | 35/46 [00:07<00:02, 5.19it/s] 78%|ββββββββ | 36/46 [00:07<00:01, 5.20it/s] 80%|ββββββββ | 37/46 [00:07<00:01, 5.20it/s] 83%|βββββββββ | 38/46 [00:07<00:01, 5.20it/s] 85%|βββββββββ | 39/46 [00:08<00:01, 5.20it/s] 87%|βββββββββ | 40/46 [00:08<00:01, 5.20it/s] 89%|βββββββββ | 41/46 [00:08<00:00, 5.19it/s] 91%|ββββββββββ| 42/46 [00:08<00:00, 5.19it/s] 93%|ββββββββββ| 43/46 [00:08<00:00, 5.19it/s] 96%|ββββββββββ| 44/46 [00:09<00:00, 5.19it/s] 98%|ββββββββββ| 45/46 [00:09<00:00, 5.20it/s] 100%|ββββββββββ| 46/46 [00:09<00:00, 5.19it/s] 100%|ββββββββββ| 46/46 [00:09<00:00, 4.85it/s] Total safe images: 1 out of 1
Version Details
- Version ID
aa221ab79870bd64c67c32292768597ab83d065233d054fc390f20db2fe46876
- Version Created
- September 14, 2024