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MOSS-Image-Base workflow detailed for two-stage image generation

By PulseAugur Editorial · [1 sources] ·

A user has shared a two-stage workflow for generating images using the MOSS-Image-Base diffusion model. This workflow utilizes a custom node package called Krea-2-Two-Stage-Sampler, which keeps images in latent space across both stages and allows for denoising to be handed off at a set percentage. The user details specific settings for each stage, including step counts, CFG values, samplers, and schedulers, as well as resolution upscaling methods. AI

IMPACT Provides a detailed workflow for users of MOSS-Image-Base, enabling advanced image generation techniques.

RANK_REASON User-shared workflow detailing the use of specific diffusion models and custom nodes for image generation.

Read on r/StableDiffusion →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

MOSS-Image-Base workflow detailed for two-stage image generation

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5 / 100
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User-shared workflow detailing the use of specific diffusion models and custom nodes for image generation.
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product
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High
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Breaking (< 6h)
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COVERAGE [1]

  1. r/StableDiffusion TIER_2 English(EN) · /u/Ciclosporin ·

    MOSS-Image-Base: two stage workflow

    <table> <tr><td> <a href="https://www.reddit.com/r/StableDiffusion/comments/1xoqgn0/mossimagebase_two_stage_workflow/"> <img alt="MOSS-Image-Base: two stage workflow" src="https://preview.redd.it/989mncp57uzh1.png?width=140&amp;height=93&amp;auto=webp&amp;s=251bc90c80e09164d3b38b…

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