Anima Turbo w/ Negative Prompt Workflow

Anima Turbo + CFG 1 Negative prompt 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. How NegPip Works Instead of using the negative prompt box, place unwanted concepts in the positive prompt with a negative weight: (blurry:-1) (low quality:-2) (text:-4) 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. Recommended Settings CFG: 1 Steps: 8–12 Sampler: Euler / Euler Ancestral / ER-SDE Resolution: Up to 1536×1536 works, but ~1.5 megapixels is a good sweet spot between quality and speed in my opinion Included Features Anima Turbo LoRA preconfigured NegPip integration Impact Wildcard Encoder Metadata saving Simple single-pass generation pipeline Easy LoRA and wildcard expansion Wildcards Create .txt wildcard files in: ComfyUI/custom_nodes/comfyui-impact-pack/custom_wildcards Then call them in your prompt using: __WildcardName__ Wildcard randomization is tied to the image seed by default for reproducible generations. Limitations 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.