Flux 2 Klein 4b Edit LoRA

Flux 2 Klein 4b Edit LoRA

Playground

FLUX.2 [klein] 4B Edit with LoRA support enables precise image-to-image editing with natural language instructions, multi-reference support, and LoRA customization. Ready-to-use REST inference API, best performance, no cold starts, affordable pricing.

Features

FLUX.2 Klein 4B Edit LoRA is a lightweight yet powerful image editing model with full LoRA support. Upload images, describe your edits, and optionally apply up to 3 custom LoRA adapters for personalized styles — all with fast generation and affordable pricing.

Why Choose This?

• Text-guided editing Describe edits in natural language — transform styles, modify content, apply effects, and more.

• LoRA support Apply up to 3 custom LoRA adapters for personalized styles, characters, or visual aesthetics.

• Multi-image input Upload up to 4 reference images for context-aware editing.

• Flexible output sizing Optionally set output size, or leave empty to match input image dimensions.

• Prompt Enhancer Built-in tool to automatically improve your prompts for better results.

• Lightweight and fast 4B parameter model optimized for quick turnaround at affordable pricing.

Parameters

LoRA Format

Each LoRA in the loras array has:

• path (required) — URL to the LoRA weights file
• scale (optional) — Weight multiplier, default 1

How to Use

1. Write your prompt — describe the edit you want (e.g., “make it a real picture”, “add sunset lighting”).
2. Upload images — add up to 4 source images using ”+ Add Item” button.
3. Add LoRAs (optional) — click ”+ Add Item” to include custom LoRA adapters.
4. Set size (optional) — specify output dimensions or leave empty to match input.
5. Set seed — use -1 for random, or specify a number for reproducibility.
6. Run — submit and download the edited image.

Pricing

Simple flat-rate pricing regardless of image size or LoRA count.

Best Use Cases

• Style Transfer — Transform images with custom LoRA styles.
• Reality Enhancement — Convert illustrations or renders to photorealistic images.
• Character Consistency — Apply character LoRAs while editing images.
• Creative Retouching — Apply artistic edits with natural language and LoRA combinations.
• Batch Editing — Affordable pricing enables large-scale image editing.

Pro Tips

• Be specific in your prompt — clearly describe what should change.
• Use LoRAs to add consistent styles across multiple edits.
• Leave size empty to preserve original image dimensions.
• Start with LoRA scale 1.0 and adjust based on results.
• Use the same seed to compare different prompts or LoRA combinations.

Notes

• Maximum 4 images can be uploaded per generation.
• Up to 3 LoRAs can be applied simultaneously.
• If size is not specified, output matches input image dimensions.
• For best results, use high-quality source images.

Related Models

• FLUX.2 Klein 4B Edit — Standard version without LoRA support.
• FLUX.2 Pro — Flagship-quality text-to-image generation.
• Qwen Image Edit 2511 — Image editing with bilingual text 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",
  "images": [
    "https://interactive-examples.mdn.mozilla.net/media/cc0-images/painted-hand-298-332.jpg"
  ],
  "seed": -1
}
JSON
)

# 1. Submit the prediction.
SUBMIT_RESPONSE=$(curl --silent --show-error --fail-with-body \
  -X POST "https://api.wavespeed.ai/api/v3/wavespeed-ai/flux-2-klein-4b/edit-lora" \
  -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 "${PREDICTION_ID}" ]; then
  printf 'Submission response did not contain a prediction id
' >&2
  exit 1
fi
RESULT_URL=$(printf '%s' "${TASK}" | jq -r '.urls.get // empty')
if [ -z "${RESULT_URL}" ]; then RESULT_URL="https://api.wavespeed.ai/api/v3/predictions/${PREDICTION_ID}/result"; fi

# 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) printf '%s\n' "${RESULT}" | jq . >&2; exit 1 ;;
    created|processing) sleep 2 ;;
    *) printf 'Unexpected status: %s
' "${STATUS}" >&2; exit 1 ;;
  esac
done

Parameters

Task Submission Parameters

Request Parameters

Response Parameters

Result Request Parameters

Result Response Parameters