orbifolia-coder/id-sketch 🖼️🔢❓📝✓ → 🖼️
About

Example Output
"Industrial design ideation sketch sheet of handheld laser measurer concepts in SKTCH style, full page of diverse variations. Freehand pencil and pen linework with visible construction lines, quick perspective views, orthographic sketches, sectional cutaways, and exploded details. Designs explore compact rectangular blocks, slim pucks, and rounded silhouettes with softened edges. Key details include transparent polycarbonate housings, frosted underlayers, anodised aluminum rims, segmented LED glyph strips (arcs, dots, bars), pixel-font numeric displays, small red accent markers, visible screws, etched PCB traces, and subtle coil details. Sketches feature annotations and arrows highlighting features like display, sensor window, LED ring, and parting lines. Grey marker shading adds depth. Loose, exploratory ideation doodle style, overlapping sketches, professional industrial design sketch sheet aesthetic on white background.”"
Output

Performance Metrics
All Input Parameters
{ "model": "dev", "prompt": "Industrial design ideation sketch sheet of handheld laser measurer concepts in SKTCH style, full page of diverse variations. Freehand pencil and pen linework with visible construction lines, quick perspective views, orthographic sketches, sectional cutaways, and exploded details. Designs explore compact rectangular blocks, slim pucks, and rounded silhouettes with softened edges. Key details include transparent polycarbonate housings, frosted underlayers, anodised aluminum rims, segmented LED glyph strips (arcs, dots, bars), pixel-font numeric displays, small red accent markers, visible screws, etched PCB traces, and subtle coil details. Sketches feature annotations and arrows highlighting features like display, sensor window, LED ring, and parting lines. Grey marker shading adds depth. Loose, exploratory ideation doodle style, overlapping sketches, professional industrial design sketch sheet aesthetic on white background.”", "go_fast": false, "lora_scale": 1, "megapixels": "1", "num_outputs": 1, "aspect_ratio": "1:1", "output_format": "webp", "guidance_scale": 3, "output_quality": 80, "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
free=27354149556224 Downloading weights 2025-09-26T16:07:22Z | INFO | [ Initiating ] chunk_size=150M dest=/tmp/tmpclqiiwpa/weights url=https://replicate.delivery/xezq/xfJVQfYvfSBXBJl9516GuvbwkaRcClleP66nU1eOR4h811IrC/flux-lora.tar 2025-09-26T16:07:22Z | INFO | [ Cache Service ] enabled=true scheme=http target=hermes.services.svc.cluster.local 2025-09-26T16:07:22Z | INFO | [ Cache URL Rewrite ] enabled=true target_url=http://hermes.services.svc.cluster.local/replicate.delivery/xezq/xfJVQfYvfSBXBJl9516GuvbwkaRcClleP66nU1eOR4h811IrC/flux-lora.tar url=https://replicate.delivery/xezq/xfJVQfYvfSBXBJl9516GuvbwkaRcClleP66nU1eOR4h811IrC/flux-lora.tar 2025-09-26T16:07:22Z | INFO | [ Redirect ] redirect_url=https://replicate.delivery/xezq/xfJVQfYvfSBXBJl9516GuvbwkaRcClleP66nU1eOR4h811IrC/flux-lora.tar url=http://hermes.services.svc.cluster.local/replicate.delivery/xezq/xfJVQfYvfSBXBJl9516GuvbwkaRcClleP66nU1eOR4h811IrC/flux-lora.tar 2025-09-26T16:07:25Z | INFO | [ Complete ] dest=/tmp/tmpclqiiwpa/weights size="172 MB" total_elapsed=2.941s url=https://replicate.delivery/xezq/xfJVQfYvfSBXBJl9516GuvbwkaRcClleP66nU1eOR4h811IrC/flux-lora.tar Downloaded weights in 3.04s Loaded LoRAs in 3.53s Using seed: 44685 Prompt: Industrial design ideation sketch sheet of handheld laser measurer concepts in SKTCH style, full page of diverse variations. Freehand pencil and pen linework with visible construction lines, quick perspective views, orthographic sketches, sectional cutaways, and exploded details. Designs explore compact rectangular blocks, slim pucks, and rounded silhouettes with softened edges. Key details include transparent polycarbonate housings, frosted underlayers, anodised aluminum rims, segmented LED glyph strips (arcs, dots, bars), pixel-font numeric displays, small red accent markers, visible screws, etched PCB traces, and subtle coil details. Sketches feature annotations and arrows highlighting features like display, sensor window, LED ring, and parting lines. Grey marker shading adds depth. Loose, exploratory ideation doodle style, overlapping sketches, professional industrial design sketch sheet aesthetic on white background.” [!] txt2img mode 0%| | 0/28 [00:00<?, ?it/s] 4%|▎ | 1/28 [00:00<00:07, 3.83it/s] 7%|▋ | 2/28 [00:00<00:05, 4.35it/s] 11%|█ | 3/28 [00:00<00:06, 4.11it/s] 14%|█▍ | 4/28 [00:00<00:05, 4.00it/s] 18%|█▊ | 5/28 [00:01<00:05, 3.94it/s] 21%|██▏ | 6/28 [00:01<00:05, 3.90it/s] 25%|██▌ | 7/28 [00:01<00:05, 3.89it/s] 29%|██▊ | 8/28 [00:02<00:05, 3.87it/s] 32%|███▏ | 9/28 [00:02<00:04, 3.86it/s] 36%|███▌ | 10/28 [00:02<00:04, 3.85it/s] 39%|███▉ | 11/28 [00:02<00:04, 3.85it/s] 43%|████▎ | 12/28 [00:03<00:04, 3.84it/s] 46%|████▋ | 13/28 [00:03<00:03, 3.85it/s] 50%|█████ | 14/28 [00:03<00:03, 3.84it/s] 54%|█████▎ | 15/28 [00:03<00:03, 3.84it/s] 57%|█████▋ | 16/28 [00:04<00:03, 3.85it/s] 61%|██████ | 17/28 [00:04<00:02, 3.84it/s] 64%|██████▍ | 18/28 [00:04<00:02, 3.84it/s] 68%|██████▊ | 19/28 [00:04<00:02, 3.83it/s] 71%|███████▏ | 20/28 [00:05<00:02, 3.83it/s] 75%|███████▌ | 21/28 [00:05<00:01, 3.84it/s] 79%|███████▊ | 22/28 [00:05<00:01, 3.84it/s] 82%|████████▏ | 23/28 [00:05<00:01, 3.84it/s] 86%|████████▌ | 24/28 [00:06<00:01, 3.84it/s] 89%|████████▉ | 25/28 [00:06<00:00, 3.83it/s] 93%|█████████▎| 26/28 [00:06<00:00, 3.83it/s] 96%|█████████▋| 27/28 [00:06<00:00, 3.83it/s] 100%|██████████| 28/28 [00:07<00:00, 3.83it/s] 100%|██████████| 28/28 [00:07<00:00, 3.86it/s] Total safe images: 1 out of 1
Version Details
- Version ID
e57e4071a2794a16ebe6f66a063dbb1433339c0d4a2a15c634212eec122d2512
- Version Created
- September 26, 2025