Anime Generator
Creating your own generated anime characters and anime-style art with this app.
简介
This ComfyUI workflow generates anime characters and anime-style scenes from text prompts using a classic Stable Diffusion pipeline. In Step 1 (Load Models), UNETLoader, CLIPLoader, and VAELoader load your chosen anime-tuned checkpoint, text encoder, and VAE. Step 2 (Image Size (1MP)) uses ResolutionSelector to set an efficient, 1‑megapixel canvas, which then feeds EmptyLatentImage to create a latent noise tensor at the selected dimensions. Step 3 (Prompt) processes your positive and negative prompts through CLIPTextEncode, and KSampler iteratively denoises the latent with the UNet, guided by your prompts and sampler settings.
你需要提供
- 正在读取工作流
在 ComfyUI 中运行。 此工作流无法在本页面运行。你可以在 Comfy Cloud 中打开（已预先加载所需内容），或下载后在自己的 ComfyUI 中使用。
在 Cloud 中试用常见问答
This setup is designed for SD 1.5-style checkpoints that use a single CLIP and VAE (e.g., anime-tuned models). Load a matching trio: UNet checkpoint in UNETLoader, its corresponding CLIP in CLIPLoader, and a compatible VAE in VAELoader. Mixing families can produce washed colors or artifacts.
Common causes are a mismatched or low-quality VAE, too few sampling steps, or overly low CFG. Try a VAE known to match your checkpoint, raise steps to 25–35, set CFG around 6–8, and add a strong negative prompt (e.g., “blurry, jpeg artifacts, low contrast”).
Use ResolutionSelector to pick dimensions near 1 MP that fit your aspect ratio (e.g., 1216×704 for wide, 896×1152 for tall). Staying near 1 MP balances detail and speed. Then adjust prompts with composition hints like “portrait, headshot” or “full body” to guide framing.
Set a fixed seed in KSampler for reproducible outputs with small, controlled prompt edits. For variety, randomize the seed, slightly alter wording, or try a different sampler (e.g., DPM++ vs. Euler a). Keep CFG and steps stable when comparing results.