P Image Text to Image Trainer

Pruna AI P-Image Text-to-Image Trainer

Pruna AI P-Image Text-to-Image Trainer is a fast training workflow for creating custom LoRAs for the Pruna text-to-image ecosystem. Upload your training image data, optionally provide a default caption, choose the number of training steps, and generate a LoRA that can be used to steer future image generation toward your style, subject, or brand look.

Why Choose This?

Fast custom LoRA training Train a text-to-image LoRA for specialized styles, subjects, or branded visuals.
Simple training interface Provide your training image data, optional default caption, and training steps without a complex setup process.
Optional caption guidance Use default_caption to provide consistent text conditioning across the training dataset.
Flexible training depth Use steps to balance speed, cost, and how strongly the LoRA learns your dataset.
Built for the Pruna image stack Trained outputs are intended for downstream use with Pruna text-to-image LoRA workflows.
Production-ready API Suitable for custom style pipelines, branded asset generation, and repeatable image workflow customization.

Parameters

Parameter	Required	Description
image_data	Yes	Training image data used to create the LoRA.
default_caption	No	Optional default caption applied across the training workflow for more consistent conditioning.
steps	No	Number of training steps. Higher values generally increase training time and cost. Default: `101`.

How to Use

Upload your training data — provide the image dataset you want to use for training.
Add a default caption (optional) — use a short caption if you want more consistent text conditioning across the dataset.
Set training steps — choose how many steps to run based on your desired balance of speed and training strength.
Submit — start the training job.
Use the trained LoRA — apply the resulting LoRA in downstream Pruna text-to-image LoRA workflows.

Example Workflow

Train a custom style LoRA from a curated image set, optionally using a shared default caption, then use the resulting weights in Pruna AI P-Image Text-to-Image LoRA for generation.

Pricing

Pricing is based on the selected steps value.

Steps	Cost
100	$0.18
101	$0.1818
250	$0.45
500	$0.90
1000	$1.80
2000	$3.60

Billing Rules

Pricing scales linearly with steps
Cost is $1.80 per 1,000 steps
Higher steps values increase total training cost proportionally
default_caption does not affect pricing

Best Use Cases

Custom style training — Create LoRAs for a distinct visual style or art direction.
Brand consistency — Train reusable LoRAs for campaigns, products, or branded aesthetics.
Subject-focused generation — Teach the model a recurring character, fashion look, or visual concept.
Creative workflow personalization — Build specialized LoRAs for repeatable prompt-driven generation.
Marketing asset pipelines — Create tailored generation tools for ongoing content production.

Pro Tips

Use a clean, consistent training dataset for better LoRA quality.
Add a default_caption when your dataset shares a common concept, subject, or style cue.
Start with a moderate number of steps before pushing to larger training runs.
Increase steps gradually if the initial LoRA is too weak or underfit.
Keep your dataset focused on the style or subject you want the LoRA to learn.
Test the trained LoRA in downstream generation workflows before scaling up training volume.

Notes

image_data is required.
default_caption is optional.
steps defaults to 101.
Pricing depends only on the selected steps value.
LoRAs trained here are intended for Pruna text-to-image LoRA usage.

Related Models

Pruna AI P-Image Text-to-Image LoRA — Generate images from prompts using a trained LoRA.
Pruna AI P-Image Text-to-Image — Generate images directly from prompts without a LoRA.
Pruna AI P-Image Edit Trainer — Train LoRAs for downstream image editing workflows.
Pruna AI P-Image Edit LoRA — Edit images with LoRA-guided control.

P Image Text To Image Trainer API — Quick start

Grab a WaveSpeedAI API key, then call POST https://api.wavespeed.ai/api/v3/pruna-ai/p-image/text-to-image-trainer with your input as JSON. The endpoint returns a prediction id; poll the prediction endpoint until status flips to completed, then read the output URL from data.outputs[0]. Examples for P Image Text To Image Trainer below.

HTTP example

# Submit the prediction
curl -X POST "https://api.wavespeed.ai/api/v3/pruna-ai/p-image/text-to-image-trainer" \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer $WAVESPEED_API_KEY" \
  -d '{
    "steps": 101
}'

# Response includes a prediction id. Poll for the result:
curl -X GET "https://api.wavespeed.ai/api/v3/predictions/{request_id}/result" \
  -H "Authorization: Bearer $WAVESPEED_API_KEY"

# When status is "completed", read the output from data.outputs[0].

Node.js example

// npm install wavespeed
const WaveSpeed = require('wavespeed');

const client = new WaveSpeed(); // reads WAVESPEED_API_KEY from env

const result = await client.run("pruna-ai/p-image/text-to-image-trainer", {
        "steps": 101
});

console.log(result.outputs[0]); // → URL of the generated output

Python example

# pip install wavespeed
import wavespeed

output = wavespeed.run(
    "pruna-ai/p-image/text-to-image-trainer",
    {
    "steps": 101
}
)

print(output["outputs"][0])  # → URL of the generated output

P Image Text To Image Trainer API — Frequently asked questions

What is the P Image Text To Image Trainer API?

P Image Text To Image Trainer is a Pruna Ai model for AI inference, exposed as a REST API on WaveSpeedAI. Pruna AI P-Image Text to Image Trainer is a fast AI model training workflow for customizing text-to-image generation models with user-provided data. Ready-to-use REST inference API for training custom styles, brand-specific visuals, character concepts, product image generation, marketing creatives, and personalized AI image workflows with simple integration, no coldstarts, and affordable pricing. You can call it programmatically or try it from the playground above.

How do I call the P Image Text To Image Trainer API?

POST your input parameters to the model's REST endpoint (shown in the API tab of this playground) with your WaveSpeedAI API key in the Authorization header. Submission returns a prediction ID; poll the prediction endpoint until status flips to "completed", then read the output URL from the result. The playground generates a ready-to-paste code sample in Python, JavaScript, or cURL for whatever inputs you've set. Full request/response shape is documented at https://wavespeed.ai/docs/docs-api/pruna-ai/pruna-ai-p-image-text-to-image-trainer.

How much does P Image Text To Image Trainer cost per run?

P Image Text To Image Trainer starts at $1.80 per run. That figure is the base price — the final charge scales with the parameters you set in the form (output size, length, count, references, or whatever knobs this model exposes), so a higher-quality or larger output costs more than a minimal one. The exact cost for your current input is shown live next to the Generate button before you submit, and the actual per-call charge is recorded on the prediction afterwards.

What inputs does P Image Text To Image Trainer accept?

Key inputs: `default_caption`, `image_data`, `steps`. The full JSON schema (types, defaults, allowed values) is rendered above the Generate button and mirrored in the API reference at https://wavespeed.ai/docs/docs-api/pruna-ai/pruna-ai-p-image-text-to-image-trainer.

How do I get started with the P Image Text To Image Trainer API?

Sign up for a free WaveSpeedAI account to claim starter credits, copy your API key from /accesskey, then call the endpoint shown in the API tab of the playground. The playground also auto-generates a code sample in Python, JavaScript, or cURL for the parameters you've set.

Can I use P Image Text To Image Trainer outputs commercially?

Commercial usage rights depend on the model's license, set by its provider (Pruna Ai). The license summary appears on the model card above; see WaveSpeedAI's Terms of Service for platform-level conditions.

Related Models

README

Pruna AI P-Image Text-to-Image Trainer

Why Choose This?

Parameters

How to Use

Example Workflow

Pricing

Billing Rules

Best Use Cases

Pro Tips

Notes

Related Models

P Image Text To Image Trainer API — Quick start

P Image Text To Image Trainer API — Frequently asked questions