Convert a 3D rendered image of a mechanical part into a detailed technical drawing sheet. The sheet includes fully dimensioned orthographic views, a sectional view with internal geometry, and an isometric reference view, all following ISO mechanical drafting standards.
1{2 "task": "image_to_image",3 "input_image": "3d_render_of_mechanical_part.png",4 "prompt": "Reference scale: the outer diameter of the flange is exactly 360 mm. Mechanical engineering drawing sheet with three separate drawings of the same part placed in clearly separated rectangular areas. Drawing 1: fully dimensioned orthographic views (front, top, side) with precise numeric measurements in millimeters, diameter symbols, radius annotations, hole count notation and center lines. Drawing 2: sectional view taken through the center axis of the part, showing internal geometry with proper section hatching and wall thickness clearly visible. Drawing 3: isometric reference view of the part without any dimensions, used only for spatial understanding. ISO mechanical drafting standard, consistent line weights, monochrome black lines on white background, manufacturing-ready technical documentation, no perspective distortion.",5 "negative_prompt": "single combined drawing, merged views, artistic rendering, perspective view, realistic lighting, shadows, textures, colors, gradients, sketch style, hand drawn look, missing dimensions, decorative presentation",6 "settings": {7 "model": "sdxl",8 "sampler": "DPM++ 2M Karras",9 "steps": 45,10 "cfg_scale": 6,11 "denoising_strength": 0.45,12 "resolution": {13 "width": 1024,14 "height": 102415 }16 },17 "output_expectation": "one technical drawing sheet containing three clearly separated drawings: dimensioned orthographic views, a centered sectional view, and an undimensioned isometric reference, suitable for manufacturing reference"18}
Compares two CSV exports of the same records (old vs new, billing vs ledger, source vs warehouse) by key after normalizing headers, delimiters, currency formats, accounting negatives, dates and case. Reports added, removed and duplicate keys, key format drift, changed values per column with tolerances, possible re-keys and a control-total bridge, then writes a reconciliation report. Includes a stdlib Python checker with --self-test.
Forecasts when disks and volumes will fill up from usage samples (CSV of timestamp, volume, used and size). Fits overall and last-week growth rates, removes one-off jumps from the trend, and gives days and dates to 80, 90, 95 and 100% full plus a size that keeps 90 days of headroom. Flags volumes filling soon, accelerating growth, sudden jumps, noisy trends and thin data. Includes a stdlib Python forecaster with --self-test.
Checks CSV time series (metrics, sensor readings, sales by hour) for data problems before you chart or alert on them: missing intervals, duplicate or out-of-order timestamps, empty values, flatlines from stuck exporters, robust median/MAD spikes, and counter resets. Use when a dashboard looks wrong, before training a forecast, or when asking "is this data complete?". Includes a stdlib Python checker with --self-test.
Expert assistant for drafting scientific papers using analytical data (DSC, TG, infrared spectroscopy). Transforms raw data into publication-ready papers with proper structure, references, and journal formatting.
