Moving this up to the top, since it's important:<ul><li>v1 does not support AIO models by default. (Models with VAE and/or CLIP baked-in). Your Anima/Krea2 models need to be placed in your models/diffusion_models folder to work with the (UNet) loaders in the v1 workflow.</li></ul>This workflow has the following functions/features:<ul><li>Text to Image</li><li>Image to Image (does not work well IMO)</li><li>Multiple Lora Loading</li><li>Global control for Seed</li><li>Wildcards</li><li>Upscale</li><li>Separate checkpoint, CLIP, and lora loaders for Upscale+Detailers</li><li>Detailers</li><li>Color Correction</li><li>Save Image with full resource metadata in CivitAI readable format</li></ul>Support Policy<ul><li>These workflows are provided as-is and without guaranteed support.</li><li>I do not provide support for third-party applications, modified versions, redistributed copies, reposts, bundles, or installations obtained from unofficial sources.</li><li>Inclusion of these workflows in another project does not imply my endorsement, involvement, or responsibility for that project.</li></ul>Disclaimer<ul><li>This workflow is not intended to purposefully generate any specific content. Responsibility for generated content falls on the user of the workflow.</li><li>Installation of ComfyUI and/or any related custom nodes for these workflows are at the installer's own risk.</li></ul>

Gladas' Workflow for Anima

'Fixed' version uploaded at 1303 US Eastern time on 29 July 2026.This just changes the 'default loaded' CLIP model on the USDU CLIP loader to the one for Anima.Initial Release:This is my current Anima workflow and is also compatible with Krea 2 Turbo.<ul><li>I use Anima to generate the initial image and Krea 2 Turbo for the upscale.</li><li>Works with the following combinations: Anima + Anima, Krea 2 Turbo + Krea 2 Turbo, Anima + Krea 2 Turbo, and Krea 2 Turbo + Anima.</li><li>See the description below the image samples for more info. Some notes are included on the workflow canvas as well.</li></ul>

Files with SHA256: 7bf97f541d35756aec02886e634573ceed12927e5c4d85179bdb219bbc3e8461