Anima Text To Image API Documentation

Anima Text To Image API Documentation

Playground

Anima is CircleStone Labs’ 2B anime text-to-image model, distilled to 8-12 steps and generating tag-driven anime illustrations natively at 1K to 1.5K resolution in seconds, with both text-to-image and image-to-image support. Ready-to-use REST inference API, best performance, no cold starts, affordable pricing.

Features

Anima is a fast image generation model built for anime text-to-image and image-to-image workflows. The distilled checkpoint runs in 8-12 steps while supporting native output from 1k up to 1.5k resolution, making it suitable for both quick iteration and higher-resolution final assets.

Why Choose This?

• Native 1.5K generation
  Generate higher-resolution images directly without requiring a separate upscaling step.

• Fast Turbo workflow
  Use the distilled Turbo checkpoint for faster image generation and prompt iteration.

• Aesthetic-first output
  Trained on tag-annotated anime data: clean line art, consistent anime shading, and strong character rendering. Danbooru-style tags work best.

• Text-to-image and image-to-image
  Generate from text prompts or provide an image URL for image-to-image variation and restyling.

• Strength control
  Use strength to control how strongly the model repaints the source image in image-to-image mode.

• Flexible aspect ratios
  Supports square, portrait, landscape, tall, wide, and cinematic aspect ratio presets.

Parameters

How to Use

1. Write your prompt — Describe the subject, style, lighting, composition, and visual details.
2. Choose resolution — Use 1k for faster iteration or 1.5k for higher-resolution output.
3. Select aspect ratio — Pick the layout that matches your target format.
4. Add image optional — Provide an image URL when using image-to-image mode.
5. Adjust strength optional — Lower values preserve more of the source image; higher values repaint more freely.
6. Set seed optional — Use a fixed seed for more reproducible results.
7. Submit — Generate the final image output.

Pricing

Pricing is based on selected resolution.

Best Use Cases

• Fast image generation — Create polished images from text prompts.
• Prompt iteration — Test multiple creative directions at lower cost using 1k.
• Final image assets — Use 1.5k when higher-resolution output is needed.
• Image variation — Restyle or reinterpret an existing image with prompt control.
• Marketing visuals — Generate campaign images, social posts, product concepts, and creative assets.
• Concept art — Explore characters, environments, scenes, and visual moods.

Pro Tips

• Use detailed prompts with subject, composition, lighting, camera, mood, and style direction.
• Use 1k for quick iteration and 1.5k for final assets.
• For image-to-image, use lower strength values to preserve composition and higher values for stronger restyling.
• Set a fixed seed when comparing prompt or parameter changes.
• Choose aspect ratios based on the target platform, such as 9:16 for vertical content or 16:9 for widescreen layouts.

Related Models

• Anima Text-to-Image LoRA — The same model with custom character and style LoRA support.

Authentication

For authentication details, please refer to the Authentication Guide.

API Endpoints

Submit Task & Query Result

set -euo pipefail

export WAVESPEED_API_KEY="your-api-key"

REQUEST_BODY=$(cat <<'JSON'
{
  "prompt": "A cinematic ocean wave at sunrise, highly detailed",
  "aspect_ratio": "1:1",
  "resolution": "1k",
  "strength": 0.8
}
JSON
)

# 1. Submit the prediction.
SUBMIT_RESPONSE=$(curl --silent --show-error --fail-with-body \
  -X POST "https://api.wavespeed.ai/api/v3/wavespeed-ai/anima/text-to-image" \
  -H "Authorization: Bearer ${WAVESPEED_API_KEY}" \
  -H "Content-Type: application/json" \
  -d "${REQUEST_BODY}")

TASK=$(printf '%s' "${SUBMIT_RESPONSE}" | jq 'if type == "object" and has("data") then .data else . end')
PREDICTION_ID=$(printf '%s' "${TASK}" | jq -r '.id // empty')
if [ -z "${PREDICTION_ID}" ]; then
  printf 'Submission response did not contain a prediction id
' >&2
  exit 1
fi
RESULT_URL="https://api.wavespeed.ai/api/v3/predictions/${PREDICTION_ID}/result"

# 2. Poll until the prediction finishes.
while true; do
  RESPONSE=$(curl --silent --show-error --fail-with-body \
    "${RESULT_URL}" \
    -H "Authorization: Bearer ${WAVESPEED_API_KEY}")
  RESULT=$(printf '%s' "${RESPONSE}" | jq 'if type == "object" and has("data") then .data else . end')
  STATUS=$(printf '%s' "${RESULT}" | jq -r '.status // empty')

  case "${STATUS}" in
    completed) printf '%s\n' "${RESULT}" | jq '.outputs'; break ;;
    failed|cancelled|timeout|deleted) printf '%s\n' "${RESULT}" | jq . >&2; exit 1 ;;
    *) sleep 2 ;;
  esac
done

Parameters

Task Submission Parameters

Request Parameters

Response Parameters

Result Request Parameters

Result Response Parameters