Anima Base v1 ComfyUI Workflow | Anime Cyberpunk Text-to-Image

Turns text into bold anime cyberpunk portraits fast and easy.

Who it's for: creators who want this pipeline in ComfyUI without assembling nodes from scratch. Not for: one-click results with zero tuning - you still choose inputs, prompts, and settings.

Open preloaded workflow on RunComfy

Open preloaded workflow on RunComfy (browser)

Why RunComfy first
- Fewer missing-node surprises - run the graph in a managed environment before you mirror it locally.
- Quick GPU tryout - useful if your local VRAM or install time is the bottleneck.
- Matches the published JSON - the zip follows the same runnable workflow you can open on RunComfy.

When downloading for local ComfyUI makes sense - you want full control over models on disk, batch scripting, or offline runs.

How to use (local ComfyUI)
1. Load inputs (images/video/audio) in the marked loader nodes.
2. Set prompts, resolution, and seeds; start with a short test run.
3. Export from the Save / Write nodes shown in the graph.

Expectations - First run may pull large weights; cloud runs may require a free RunComfy account.

Overview

This workflow lets you create detailed anime-style cyberpunk characters directly from a single text prompt. Built for designers seeking precise control, it combines the Anima diffusion model with Qwen text encoding and the Qwen Image VAE. Its compact structure keeps performance high without sacrificing visual fidelity. You can easily adjust prompts, sampler settings, resolution, seed, and model parameters for your creative needs. Perfect for illustrators and artists making futuristic character designs, glowing portraits, or stylized scenes.

Important nodes:

Key nodes in the Anima Base v1 ComfyUI workflow

• KSampler (#19). The engine that turns your conditioning into an image latent. Increase steps for more intricate linework and micro‑detail; adjust cfg lower for freer, mood‑driven results or higher for tighter prompt following; lock seed to reproduce a composition while you change wording or settings.

• CLIP Text Encode (Positive Prompt) (#11). Converts your text into embeddings for the model. Concise, descriptive phrases tend to produce the cleanest anime edges. Blend subject, medium, and lighting terms, then iterate by swapping a single word per run to learn what drives the look.

• CLIP Text Encode (Negative Prompt) (#12). Pushes the sampler away from unwanted traits. Keep the included quality filters and add target‑specific exclusions like “low contrast,” “over‑smoothed skin,” or “lens flare” when needed.

• EmptyLatentImage (#28). Defines the canvas size. Use square for character busts, tall verticals for full‑body shots, or wider frames for environmental context. If you change aspect ratio mid‑project, expect composition to reflow even with the same seed.

• UNETLoader (#44). Loads the Anima Base v1.0 diffusion weights. This node is the quickest way to A/B test compatible model variants while holding everything else constant.

• VAELoader (#15). Selects the Qwen Image VAE. Staying with the paired VAE preserves Anima’s contrast and color mapping; swapping VAEs will subtly shift tones and edge softness.

Notes

Anima Base v1 ComfyUI Workflow | Anime Cyberpunk Text-to-Image - see RunComfy page for the latest node requirements.