therefreshmentclub/raniwed 🖼️🔢❓📝✓ → 🖼️
About
Example Output
Prompt:
"Ethereal cinematic shot of a light-skinned freckled Indian model walking slowly towards the camera through an overgrown garden spilling into an ornate Indian palace courtyard during the cool morning light. The palace features warm ochre walls, scalloped arches, with soft haze catching the first rays of sun. She wears a flowing, striking rich hot deep pink rainwed embellished gown with a sheer hot pink tulle veil, delicate sequins catching the soft sunlight. The atmosphere feels calm and timeless, with her hot pink gown rainwed standing out with gentle mist, muted tones, and a painterly cinematic quality."
Output



Performance Metrics
27.26s
Prediction Time
27.28s
Total Time
All Input Parameters
{
"image": "https://replicate.delivery/pbxt/NRiazAxPuCc7AXBip6E232zbtUre6fJhIkb22M30LiC8mmuc/Screenshot%202025-07-30%20at%206.33.43%E2%80%AFam.png",
"model": "dev",
"prompt": "Ethereal cinematic shot of a light-skinned freckled Indian model walking slowly towards the camera through an overgrown garden spilling into an ornate Indian palace courtyard during the cool morning light. The palace features warm ochre walls, scalloped arches, with soft haze catching the first rays of sun. She wears a flowing, striking rich hot deep pink rainwed embellished gown with a sheer hot pink tulle veil, delicate sequins catching the soft sunlight. The atmosphere feels calm and timeless, with her hot pink gown rainwed standing out with gentle mist, muted tones, and a painterly cinematic quality.",
"go_fast": false,
"lora_scale": 1,
"megapixels": "1",
"num_outputs": 4,
"aspect_ratio": "4:3",
"output_format": "png",
"guidance_scale": 3,
"output_quality": 100,
"prompt_strength": 0.8,
"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
Weights already loaded Loaded LoRAs in 0.03s Using seed: 3076 Prompt: Ethereal cinematic shot of a light-skinned freckled Indian model walking slowly towards the camera through an overgrown garden spilling into an ornate Indian palace courtyard during the cool morning light. The palace features warm ochre walls, scalloped arches, with soft haze catching the first rays of sun. She wears a flowing, striking rich hot deep pink rainwed embellished gown with a sheer hot pink tulle veil, delicate sequins catching the soft sunlight. The atmosphere feels calm and timeless, with her hot pink gown rainwed standing out with gentle mist, muted tones, and a painterly cinematic quality. Input image size: 3174x1756 [!] Resizing input image from 3174x1756 to 1440x800 [!] img2img mode 0%| | 0/23 [00:00<?, ?it/s] 4%|▍ | 1/23 [00:00<00:19, 1.16it/s] 9%|▊ | 2/23 [00:01<00:20, 1.01it/s] 13%|█▎ | 3/23 [00:03<00:20, 1.03s/it] 17%|█▋ | 4/23 [00:04<00:19, 1.05s/it] 22%|██▏ | 5/23 [00:05<00:19, 1.06s/it] 26%|██▌ | 6/23 [00:06<00:18, 1.07s/it] 30%|███ | 7/23 [00:07<00:17, 1.08s/it] 35%|███▍ | 8/23 [00:08<00:16, 1.08s/it] 39%|███▉ | 9/23 [00:09<00:15, 1.08s/it] 43%|████▎ | 10/23 [00:10<00:14, 1.08s/it] 48%|████▊ | 11/23 [00:11<00:13, 1.08s/it] 52%|█████▏ | 12/23 [00:12<00:11, 1.08s/it] 57%|█████▋ | 13/23 [00:13<00:10, 1.08s/it] 61%|██████ | 14/23 [00:14<00:09, 1.08s/it] 65%|██████▌ | 15/23 [00:16<00:08, 1.08s/it] 70%|██████▉ | 16/23 [00:17<00:07, 1.08s/it] 74%|███████▍ | 17/23 [00:18<00:06, 1.08s/it] 78%|███████▊ | 18/23 [00:19<00:05, 1.08s/it] 83%|████████▎ | 19/23 [00:20<00:04, 1.08s/it] 87%|████████▋ | 20/23 [00:21<00:03, 1.08s/it] 91%|█████████▏| 21/23 [00:22<00:02, 1.08s/it] 96%|█████████▌| 22/23 [00:23<00:01, 1.08s/it] 100%|██████████| 23/23 [00:24<00:00, 1.08s/it] 100%|██████████| 23/23 [00:24<00:00, 1.07s/it] Total safe images: 4 out of 4
Version Details
- Version ID
8b3727ec145e04b282ec8bc4154c07cad4a7c405652423d8fb1ad3010ab5b091- Version Created
- July 7, 2025