A 2B text-to-image model for anime characters, illustration and art styles — trained on millions of anime images, promptable with Danbooru-style tags, natural language, or both.
完整 demo 代码已在仓库里(app.py + requirements.txt),
但 Hugging Face 对未满 30 天的免费账号不开放 ZeroGPU / Gradio Space(返回 402)。
已提交 community GPU grant 申请,通过后这个 Space 会切换成 Gradio + ZeroGPU 正式运行。
masterpiece, best quality 质量前缀一键开关pip install diffsynth==2.1.9
from diffsynth.pipelines.anima_image import AnimaImagePipeline, ModelConfig
pipe = AnimaImagePipeline.from_pretrained(
torch_dtype=torch.bfloat16,
model_configs=[
ModelConfig(model_id="circlestone-labs/Anima",
origin_file_pattern="split_files/diffusion_models/anima-aesthetic-v1.1.safetensors"),
ModelConfig(model_id="circlestone-labs/Anima",
origin_file_pattern="split_files/text_encoders/qwen_3_06b_base.safetensors"),
ModelConfig(model_id="circlestone-labs/Anima",
origin_file_pattern="split_files/vae/qwen_image_vae.safetensors"),
],
)
image = pipe(prompt="1girl, silver hair, sunset rooftop, looking at viewer",
num_inference_steps=28, cfg_scale=4.5, width=1024, height=1024)
[质量/元信息/年份/安全] [1girl/1boy] [角色] [作品] [画师] [普通标签]@,例如 @nnn yryr,否则几乎没有效果(chibi:2),而不是 (chibi:1.2)safe 写进正面提示词