patternstech/raas-replicate πΌοΈπ’βπβ β πΌοΈ
About
Example Output
"A hyper-realistic image
of raas in a dark podcast studio. He is wearing a black
sweatshirt. The lighting is low and
moody, with neon accents softly illuminating the scene. The man
is looking directly at the camera with a neutral expression. His
head is proportionate and normal-sized. The camera is zoomed
way out, capturing a wide shot that includes his full upper body,
the desk, microphone setup, and surrounding negative space. The
background is minimalβno posters, shelves, or decorations on
the wallsβjust clean darkness with subtle neon glow. The style is
cinematic and photorealistic. Head & toros are both proportional.
toros looks athletic and slim. skin is fair. make it front pose. face also has a jawline. no dark circles. fair skin tone. hirs combed back. "
Output

Performance Metrics
All Input Parameters
{
"model": "dev",
"prompt": "A hyper-realistic image\nof raas in a dark podcast studio. He is wearing a black\nsweatshirt. The lighting is low and\nmoody, with neon accents softly illuminating the scene. The man\nis looking directly at the camera with a neutral expression. His\nhead is proportionate and normal-sized. The camera is zoomed\nway out, capturing a wide shot that includes his full upper body,\nthe desk, microphone setup, and surrounding negative space. The\nbackground is minimalβno posters, shelves, or decorations on\nthe wallsβjust clean darkness with subtle neon glow. The style is\ncinematic and photorealistic. Head & toros are both proportional.\ntoros looks athletic and slim. skin is fair. make it front pose. face also has a jawline. no dark circles. fair skin tone. hirs combed back. \n",
"go_fast": false,
"lora_scale": 1,
"megapixels": "1",
"num_outputs": 2,
"aspect_ratio": "1:1",
"output_format": "jpg",
"guidance_scale": 3.64,
"output_quality": 80,
"prompt_strength": 0.8,
"extra_lora_scale": 1,
"num_inference_steps": 34
}
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=23626669330432 Downloading weights 2025-11-05T06:27:33Z | INFO | [ Initiating ] chunk_size=150M dest=/tmp/tmp17v4mmtw/weights url=https://replicate.delivery/xezq/MYwt5aFpfD2CT6GMGAdUEP6XfpPQ8NEkddjRSRSK5opQrJmVA/trained_model.tar 2025-11-05T06:27:33Z | INFO | [ Cache Service ] enabled=true scheme=http target=hermes.services.svc.cluster.local 2025-11-05T06:27:33Z | INFO | [ Cache URL Rewrite ] enabled=true target_url=http://hermes.services.svc.cluster.local/replicate.delivery/xezq/MYwt5aFpfD2CT6GMGAdUEP6XfpPQ8NEkddjRSRSK5opQrJmVA/trained_model.tar url=https://replicate.delivery/xezq/MYwt5aFpfD2CT6GMGAdUEP6XfpPQ8NEkddjRSRSK5opQrJmVA/trained_model.tar 2025-11-05T06:27:33Z | INFO | [ Redirect ] redirect_url=http://r8-east4-loras-ric1.cwlota.com/694788dc684c586ff82f2f41315bbb2c9c9ca2246a76251b68497abc81ca60d6?X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Checksum-Mode=ENABLED&X-Amz-Credential=CWNZUVKLDHXVHEZN%2F20251105%2FUS-EAST-04A%2Fs3%2Faws4_request&X-Amz-Date=20251105T062733Z&X-Amz-Expires=600&X-Amz-SignedHeaders=host&x-id=GetObject&X-Amz-Signature=475fb285c5ef3dec8ddf8f86d23f02307a4bd185db3a709910640a402c7a2a11 url=http://hermes.services.svc.cluster.local/replicate.delivery/xezq/MYwt5aFpfD2CT6GMGAdUEP6XfpPQ8NEkddjRSRSK5opQrJmVA/trained_model.tar 2025-11-05T06:27:33Z | INFO | [ Complete ] dest=/tmp/tmp17v4mmtw/weights size="483 MB" total_elapsed=0.501s url=https://replicate.delivery/xezq/MYwt5aFpfD2CT6GMGAdUEP6XfpPQ8NEkddjRSRSK5opQrJmVA/trained_model.tar Downloaded weights in 0.59s Loaded LoRAs in 1.59s Using seed: 18059 Prompt: A hyper-realistic image of raas in a dark podcast studio. He is wearing a black sweatshirt. The lighting is low and moody, with neon accents softly illuminating the scene. The man is looking directly at the camera with a neutral expression. His head is proportionate and normal-sized. The camera is zoomed way out, capturing a wide shot that includes his full upper body, the desk, microphone setup, and surrounding negative space. The background is minimalβno posters, shelves, or decorations on the wallsβjust clean darkness with subtle neon glow. The style is cinematic and photorealistic. Head & toros are both proportional. toros looks athletic and slim. skin is fair. make it front pose. face also has a jawline. no dark circles. fair skin tone. hirs combed back. [!] txt2img mode 0%| | 0/34 [00:00<?, ?it/s] 3%|β | 1/34 [00:00<00:18, 1.80it/s] 6%|β | 2/34 [00:00<00:15, 2.06it/s] 9%|β | 3/34 [00:01<00:15, 1.94it/s] 12%|ββ | 4/34 [00:02<00:15, 1.89it/s] 15%|ββ | 5/34 [00:02<00:15, 1.86it/s] 18%|ββ | 6/34 [00:03<00:15, 1.85it/s] 21%|ββ | 7/34 [00:03<00:14, 1.84it/s] 24%|βββ | 8/34 [00:04<00:14, 1.83it/s] 26%|βββ | 9/34 [00:04<00:13, 1.82it/s] 29%|βββ | 10/34 [00:05<00:13, 1.82it/s] 32%|ββββ | 11/34 [00:05<00:12, 1.82it/s] 35%|ββββ | 12/34 [00:06<00:12, 1.82it/s] 38%|ββββ | 13/34 [00:07<00:11, 1.81it/s] 41%|ββββ | 14/34 [00:07<00:11, 1.81it/s] 44%|βββββ | 15/34 [00:08<00:10, 1.81it/s] 47%|βββββ | 16/34 [00:08<00:09, 1.81it/s] 50%|βββββ | 17/34 [00:09<00:09, 1.81it/s] 53%|ββββββ | 18/34 [00:09<00:08, 1.81it/s] 56%|ββββββ | 19/34 [00:10<00:08, 1.81it/s] 59%|ββββββ | 20/34 [00:10<00:07, 1.81it/s] 62%|βββββββ | 21/34 [00:11<00:07, 1.81it/s] 65%|βββββββ | 22/34 [00:12<00:06, 1.81it/s] 68%|βββββββ | 23/34 [00:12<00:06, 1.81it/s] 71%|βββββββ | 24/34 [00:13<00:05, 1.81it/s] 74%|ββββββββ | 25/34 [00:13<00:04, 1.81it/s] 76%|ββββββββ | 26/34 [00:14<00:04, 1.81it/s] 79%|ββββββββ | 27/34 [00:14<00:03, 1.81it/s] 82%|βββββββββ | 28/34 [00:15<00:03, 1.81it/s] 85%|βββββββββ | 29/34 [00:15<00:02, 1.81it/s] 88%|βββββββββ | 30/34 [00:16<00:02, 1.81it/s] 91%|βββββββββ | 31/34 [00:17<00:01, 1.81it/s] 94%|ββββββββββ| 32/34 [00:17<00:01, 1.81it/s] 97%|ββββββββββ| 33/34 [00:18<00:00, 1.81it/s] 100%|ββββββββββ| 34/34 [00:18<00:00, 1.81it/s] 100%|ββββββββββ| 34/34 [00:18<00:00, 1.82it/s] Total safe images: 2 out of 2
Version Details
- Version ID
8a23191c45a44cc45825733875e4409e462ec04f79d44abeac5ad50936f4e124- Version Created
- November 5, 2025