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A pretty simple workflow with a few common features. It is designed for 'legacy' mode. For now, I still think that Nodes 2.0 are mostly buggy and s...
Red Craft & DarkBeast workflows collection [ NEW ] Text 2 Json (Gemma4) 2 Image (ideogram4) 06/06 /2026 ideogram4 is trained on structured JSON...
Hi everyone! I’d like to share a batch processing workflow designed for LoRA training image datasets. It batch-reads images from a specified direct...
Watch the full video first if you want to understand how this Ideogram 4 official image generation workflow works in practice. The video shows how ...
A simple workflow for Klein family models in the first row was developed for 9b and 4b distilled versions, but it should work for base models with ...
Join our Discord community for any help: https://discord.gg/RnUHPzTkXH How to install? Download and extract the .zip, you will find 2 folders, one ...
Telegram This is an add-on over the base ComfyUI workflow for Ideogram 4 with small improvements. Added: The ability to choose your GGUF LLM for tr...
This is an advanced workflow designed for those familiar with ComfyUI who want pro grade results. It is node heavy and has numerous options. I enco...
I just made a new Telegram Group and Discord group drop in for chats, questions, feedbacks or just to share your work. 欢迎加入 纸飞机 和 Discord 群组。 RH 体验...
V2.6 LTX-2.3 DEV & Distilled Video with Audio + LTX Director workflow Minor update to LTX2.3 Image to Video with Ollama workflow: sampling Prev...
Workflow Update: anima-base-v3.6 (Sneaked in some fixes to the prompt templates. workflow-v3.7) The updated workflow ( anima-base-v3.6 ) has been r...
Hello Everyone! Have you ever created an image you like and would have kept, but and a face, or hand just came out wrong? You need a workflow that ...
<p>Additional training with natural language captions tagged with JTP Pilot2 Furrence, no caption shuffle and no flip_aug.</p><p>For improved anatomy, 30-50 steps and euler sampler are recommended (sweet spot seems to be about 38 steps). Natural language will yield the most coherent images. See sample images for prompting style.</p><p>WEAKLY recognized artist tags:</p><p>@accelo, @aycee, @bagelcollie, @baphypaws, @blitzpony, @braeburned, @budoti, @butterchalk, @chunie, @cobaltsynapse, @coffeesoda, @cometdragonite, @cytricacid, @dacad, @daftpatriot, @dagasi, @dingbat, @doodlemark, @edjit, @enginetrap, @fantine, @funkybun, @hinar miler, @hioshiru, @indexer, @jumpy jackal, @kashmere, @keffotin, @kenket, @keovi, @k1ngl30n, @letodoesart, @loimu, @mawmain, @meesh, @orlandofox, @reign-2004, @ruaidri, @sushiamazing, @tzarvolver, @waspsalad, @zackary911, @zaush</p>
Model repo on Hugging Face Hub.
Model repo on Hugging Face Hub.
Introduction Hi everyone! I wanted a simple IMG2IMG workflow that saves Metadata and uses LoRA Manager. I also wanted one that could handle resizin...
<p>Improves photographic texture by incorporating style blocks from the RealCosplay checkpoint. It's a neat model that aims to enhance both realism and illustrative generations - check it out <a target="_blank" rel="ugc" href="https://civitai.red/models/2671085/realcosplayandanimeand3d-all-in-one-animabase">here</a>.</p><p>I also made meaningful improvements to the stock workflow:</p><ul><li><p>Optimized custom sigma curve.</p></li><li><p>Introduces NegPip with a "pseudo negative prompt" that works at 1 CFG.</p></li><li><p>Uses the <a rel="ugc" href="https://github.com/SparknightLLC/ComfyUI-ConditioningMultiplyAdvanced">Conditioning Multiply Advanced node</a> to drop conditioning strength to 0 after a certain number of steps, improving texture.</p></li></ul><p>As a result: v2.1 is the most realistic version of Photanima to date, but anatomy is a little less stable than v2.0. I view it as a worthwhile tradeoff.</p>
download model and install tutorial: https://comfyanonymous.github.io/ComfyUI_examples/z_image/
<p>This is the V1 release of my Anima-based style fine-tune. The 0.1 version was a small internal style-training experiment and was not initially planned for release. V1 focuses on better use of the style training set with staying closer to the original Anima tagging logic. Unlike a style LoRA merge, this is a model natively trained with a style, so tags such as traditional media, watercolor, or specific artist/style tags should still work normally. The style will vary, especially when generating characters. It is trained to “uplift” the generations, more or less noticeable through details such as the characteristic hair shine. If a result differs strongly in style, it is usually also a strong style outlier in Anima Base on that same seed.<br /><br />For this version, I tested character training with NTE characters and Femme Soule from pukey goddess shot trick. Some NTE characters had a low image amount to train on, so those characters will not work. The training was done using a mix of tags, long natural-language captions and short natural-language captions. The ratio is around 3/5 normal booru tags to 2/5 natural-language captions. The main test was to see how to train completely unrelated franchises into one model and get both working together in a single natural-language image. <br /><br />Character forgetting is a problem in Anima. My training makes that decay extremely slow, but it is still there. Extremely weak, but still there.</p><p><br /><strong>V1 Notes</strong><br />Compared to V0.1, this version should be more stable in backgrounds, with a more consistent us...
This is an advanced workflow for those who want to dail in an image at pro level grade. A simple version can be found HERE Note: I spend a lot of t...
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