usamaehsan/qwen-image-edit-fastest-2 🔢🖼️📝 → 🖼️
About
400+ images in 1$ 1024 resolution// 2s /img on L40S GPU, check description and examples
Example Output
Prompt:
"make him A hyper-realistic, close-up portrait of a tribal elder from the Omo Valley, painted with intricate white chalk patterns and adorned with a headdress made of dried flowers, seed pods, and rusted bottle caps. The focus is razor-sharp on the texture of the skin, showing every pore, wrinkle, and scar that tells a story of survival. The background is a blurred, smoky hut interior, with the warm glow of a cooking fire reflecting in the subject's dark, soulful eyes. Shot on a Leica M6 with Kodak Portra 400 film grain aesthetic."
Output
Performance Metrics
2.95s
Prediction Time
2.97s
Total Time
All Input Parameters
{
"image": [
"https://replicate.delivery/pbxt/O8wtmSTmW2Sxxi0S0m80qnCXIhoUHqpsvXbvoDEwUYMaa7Ja/WhatsApp%20Image%202025-11-26%20at%205.30.39%20AM.jpeg"
],
"width": 1024,
"height": 1024,
"prompt": "make him A hyper-realistic, close-up portrait of a tribal elder from the Omo Valley, painted with intricate white chalk patterns and adorned with a headdress made of dried flowers, seed pods, and rusted bottle caps. The focus is razor-sharp on the texture of the skin, showing every pore, wrinkle, and scar that tells a story of survival. The background is a blurred, smoky hut interior, with the warm glow of a cooking fire reflecting in the subject's dark, soulful eyes. Shot on a Leica M6 with Kodak Portra 400 film grain aesthetic.",
"guidance_scale": 1,
"true_cfg_scale": 1,
"negative_prompt": " ",
"num_inference_steps": 2,
"num_images_per_prompt": 1
}
Input Parameters
- seed
- Random seed
- image (required)
- Input image(s). Single image for editing, or 2-4 images for composition
- width
- Output width (0 = use input size). Recommended: 512 or 768 for speed
- height
- Output height (0 = use input size). Recommended: 512 or 768 for speed
- prompt
- Text prompt describing the edit or composition
- guidance_scale
- Guidance scale (for composition)
- true_cfg_scale
- True CFG scale. Recommended: 1.0-2.0
- negative_prompt
- Negative prompt (things to avoid)
- num_inference_steps
- Number of steps. Using 2 for maximum speed. Can use 2-4
- num_images_per_prompt
- Number of images to generate
Output Schema
Output
Example Execution Logs
============================================================ PREDICT: Starting prediction ============================================================ ✓ Received 1 image(s) Loading images... Image 1: 150x150 (0.001s) ✓ Loaded in 0.00s ------------------------------------------------------------ PARAMETERS: ------------------------------------------------------------ Mode: EDIT Prompt: 'make him A hyper-realistic, close-up portrait of a tribal elder from the Omo Valley, painted with intricate white chalk patterns and adorned with a headdress made of dried flowers, seed pods, and rusted bottle caps. The focus is razor-sharp on the texture of the skin, showing every pore, wrinkle, and scar that tells a story of survival. The background is a blurred, smoky hut interior, with the warm glow of a cooking fire reflecting in the subject's dark, soulful eyes. Shot on a Leica M6 with Kodak Portra 400 film grain aesthetic.' Seed: 61344 Steps: 2 (model optimized for 4) Resolution: 1024x1024 True CFG: 1.0 Guidance: 1.0 ------------------------------------------------------------ INFERENCE: Running Nunchaku-optimized model... ------------------------------------------------------------ negative_prompt is passed but classifier-free guidance is not enabled since true_cfg_scale <= 1 guidance_scale is passed as 1.0, but ignored since the model is not guidance-distilled. ✓ Inference completed in 2.10s (1.050s per step) Saving output... ✓ Saved: 1024x1024 ============================================================ PREDICT COMPLETE: 2.42s - Image loading: 0.00s - Inference: 2.10s (1.050s/step) - Saving: 0.32s ============================================================
Version Details
- Version ID
972e2beef7079fb6d2f9ea53131c4aa15938d72b1f78dbcd429d8dcab826f01e- Version Created
- December 1, 2025