P-H3-Image LoRA API

About P-H3-Image LoRA

P-H3-Image LoRA is Pruna AI's P-H3-Image with up to three MiniMax H3 LoRA files loaded, each with its own strength from 0 to 4. It makes stills from a written scene or edits using up to nine pictures, in five sizes up to 4K.

Call it with the model name pruna-ai/p-h3-image-lora/edit on POST /jobs/createTask, from $0.048.

Introduction

P-H3-Image LoRA Image Editing applies H3-trained files while transforming the first supplied picture. You may include eight further reference images and specify what each one contributes.

Key features

The cartoon test used Studio1939 style at strength 1 to redraw the singer without losing the pose, dress or microphone. The same LoRA field supports up to three entries, with an independent 0–4 scale for each file.

Request parameters

Pricing

Prices are in USD. The API uses a separate USD balance. Website credits cannot be used or transferred to it, and API funds cannot be transferred to website credits. When a task is accepted, we reserve the maximum quoted amount from your API balance. On completion, we charge for actual usage, never more than the hold, and release the remainder. If the task fails, the hold is released.

Send the same request body to POST /jobs/quote to see the estimated and maximum USD charge before running. A quote does not run the task or charge your balance.

Use cases

Convert a stage photograph into a period cartoon or request a denim-jacket living-room scene with a VHS treatment. Add the trained trigger to the edit instruction and address the source as <Picture 1>.

Prompt guide & pro tips

Keep the inputs, prompt and seed unchanged between a no-LoRA control and an enabled run to inspect the file's effect. That comparison shares a random source without guaranteeing identical pixels. Leaving loras empty also retains the LoRA endpoint surcharge.

API quick start

Call the P-H3-Image LoRA API in three steps

1. Create an API key. Sign in to PopNow and create a key in the API console. Keys start with sk-popnow-. API calls use your separate USD balance.
2. Send the request. POST /jobs/createTask with model pruna-ai/p-h3-image-lora/edit and an input object that follows the parameter table. The response returns a task ID straight away.
3. Get the result. Poll GET /jobs/recordInfo with the task ID, or pass a callBackUrl and we post the result to it. Download the output links when the task succeeds.

# 1. Create the task. Keep the Idempotency-Key if you retry after a network error.
export IDEMPOTENCY_KEY="$(uuidgen)"
curl -X POST https://api.popnow.ai/api/v1/jobs/createTask \
  -H "Authorization: Bearer $POPNOW_API_KEY" \
  -H "Content-Type: application/json" \
  -H "Idempotency-Key: $IDEMPOTENCY_KEY" \
  -d '{
  "model": "pruna-ai/p-h3-image-lora/edit",
  "input": {
    "prompt": "A ceramic teapot on a linen cloth, soft window light, muted palette",
    "image_urls": [
      "https://media.popnow.ai/influencer/examples/marco.webp"
    ],
    "resolution": "1k",
    "output_format": "jpeg"
  }
}'

# 2. Copy data.taskId from the response, then poll until state is succeeded, failed, canceled or expired.
TASK_ID="TASK_ID_FROM_RESPONSE"
curl "https://api.popnow.ai/api/v1/jobs/recordInfo?taskId=$TASK_ID" \
  -H "Authorization: Bearer $POPNOW_API_KEY"

Replace the prompt and any links with your own. The API tab has the response, polling and callback reference.

P-H3-Image LoRA API questions

More about P-H3-Image LoRA

Try it

P-H3-Image LoRA AI Image Generator onlineCreate images with P-H3-Image LoRA in PopNow

Endpoints

P-H3-Image LoRA · Create Image

Docs

P-H3-Image LoRA model ID and input schema in the API docsPopNow API quickstart: send your first requestImage generation guide for the PopNow APIWebhooks: get P-H3-Image LoRA results without polling