This is a suite of model development tools for ComfyUI, designed for use with MOSS-Image.In this release, we are providing three tools: TestSampler, MOSS-Image Merger, and the MOSS_BF16 Converter.<h3 id="testsampler">TestSampler</h3>( sampler/debug/TestSampler )TestSampler is a sampler intended for testing purposes; it functions much like a simplified version of the standard ComfyUI KSampler. I had originally conceived of this back in the SD1.5 era, but I abandoned the project due to the frustrating limitations of AI models like ChatGPT and Claude at the time. Given how much more capable these AI tools have become recently, I decided to have "Dots" (an AI assistant) help build it.<ul><li>Currently limited to MOSS-Image.</li><li>Fixed to "Euler" and "Simple" sampling methods.</li><li>Supports BF16 format only.</li><li>The dimensions will be multiples of 16.</li></ul>It allows for the extraction of the sampler's internal state.Note: This tool is not intended for general users.Note: Due to its many limitations and optimization for low-memory operation, this sampler is not suitable for standard image generation tasks.<h3 id="moss-image-merger">MOSS-Image Merger</h3>( model/merging/MOSS-Image Layer Merge )A node that enables merging at the layer level.It includes the following modes: <code>weighted_sum</code>, <code>add_difference</code>, and <code>train_difference</code>.Unlike the merge nodes in ComfyUI, the alpha value represents the proportion of modelB.ver.1.1The default module settings for Merger were inappropriate.As a new feature, you can now set numerical values ​​by pressing number keys while hovering your mouse cursor over a slider:0: 0.01: 1.02: 0.2...9: 0.9-: -1.0Additionally, you can adjust the values ​​in increments of 0.05 using the arrow keys. Pressing Shift-0 sets the all values to 0.0, and Shift-1 sets ithem to 1.0.<h3 id="moss_bf16-converter">MOSS_BF16 Converter</h3>( model/convert/MOSS-Image to BF16)Converts models (such as INT8 models) into a "Fused BF16" format, matching the structure of the base model. This tool functions as a standalone utility and does not require any external connections. The converted files will be stored in output/diffusion_models.

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