<h1 id="anima-turbo-+-cfg-1-negative-prompt">Anima Turbo + CFG 1 Negative prompt</h1>A lightweight, beginner-friendly workflow for Anima Turbo that allows negative prompting at CFG 1 using NegPip.Turbo models are fast, but running at CFG 1 means the negative prompt box has no effect. This workflow solves that problem using NegPip, which allows you to apply negative concepts directly inside the positive prompt.<h3 id="how-negpip-works">How NegPip Works</h3>Instead of using the negative prompt box, place unwanted concepts in the positive prompt with a negative weight:<code>(blurry:-1)</code><code>(low quality:-2)</code><code>(text:-4)</code>NegPip interprets these negative weights as negative conditioning, allowing you to steer the image away from unwanted features while keeping the speed benefits of CFG 1 turbo generation.Don't be afraid to use larger values. In my testing, weights up to ±4 can produce strong results with Anima without frying the image.<h3 id="recommended-settings">Recommended Settings</h3><ul><li>CFG: 1</li><li>Steps: 8–12</li><li>Sampler: Euler / Euler Ancestral / ER-SDE</li><li>Resolution: Up to 1536×1536 works, but ~1.5 megapixels is a good sweet spot between quality and speed in my opinion</li></ul><h3 id="included-features">Included Features</h3><ul><li>Anima Turbo LoRA preconfigured</li><li>NegPip integration</li><li>Impact Wildcard Encoder</li><li>Metadata saving</li><li>Simple single-pass generation pipeline</li><li>Easy LoRA and wildcard expansion</li></ul><h3 id="wildcards">Wildcards</h3>Create <code>.txt</code> wildcard files in:<code>ComfyUI/custom_nodes/comfyui-impact-pack/custom_wildcards</code>Then call them in your prompt using:<code>__WildcardName__</code>Wildcard randomization is tied to the image seed by default for reproducible generations.<h3 id="limitations">Limitations</h3>This workflow is intentionally minimal. The goal is to provide a clean, reliable starting point for Anima Turbo users who want the speed of CFG 1 generation without giving up the control that negative prompting provides.

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