Update README.md

README.md

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 pretty_name: echosingularity workflows
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 license: creativeml-openrail-m
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+WAN 2.2 – I2V Workflow (Optimized for 12GB GPUs)
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+A fast, clean, and VRAM-efficient Image-to-Video workflow built around WAN 2.2. Fast render times on mid-range GPUs. I tried to keep this simple and easy to use, while maintaining good results. Utilizing well known nodes, and minimizing node bloat. The workflow also has comments everywhere and clear flow.
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+Ver 1.0 - Base workflow, can do 5 second clips in one iteration. (very fast for 12gb)
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+Ver 1.1 - More stability, can run 100 times consecutively in 8hrs
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+Ver 1.2 - Renders 20 second videos. Cleanup of wires.
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+Ver 1.3 - MMAudio added.
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+Ver 1.4 - 2x Upscaling, color correction, & sharpening in between passes for quality consistency.
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+------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
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+QWEN Image Edit workflow (Optimized for 12GB GPUs)
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+Designed to run large AIO QWEN checkpoints (≈28GB) while still generating high-resolution outputs on 12GB VRAM GPUs.
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+The focus here is:
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+    Image editing / guided edits
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+    Very low step counts
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+    Stable results at low CFG
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+    Aggressive memory management
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+    Clean upscale + post polish
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+------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
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+Z-Image Turbo workflow designed to extract maximum detail, edge fidelity, and material realism on 12GB VRAM GPUs. This workflow also includes seed variance to the conditioning so that outputs with the same prompt have more variety similarly to SDXL, Pony, IL models. (Each photo pair in the showcase gallery is the exact same prompt) This workflow uses controlled sigma shaping, Res-2 samplers, and phased refinement passes to stabilize detail while avoiding common ZIT artifacts like:
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+    Over-etched hair
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+    Shimmering edges
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+    Checkerboard blockiness
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+    CFG-induced harshness
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+The result is clean, high-contrast outputs that scale well across portraits, fashion, cinematic scenes, and hard-surface material tests.