Pruna Ai P Image Text To Image LoRA
Playground
Try it on WavespeedAI!Pruna AI P-Image Text to Image LORA is a fast AI image generation model that creates high-quality images from text prompts with LORA-based customization. Ready-to-use REST inference API for stylized image generation, brand-specific visuals, character design, product concepts, marketing creatives, and custom AI image workflows with simple integration, no coldstarts, and affordable pricing.
Features
Pruna AI P-Image Text-to-Image LoRA
Pruna AI P-Image Text-to-Image LoRA generates images from natural-language prompts while allowing you to apply a custom LoRA for style or subject control. It is designed for workflows where you want the flexibility of text-to-image generation together with a Pruna-trained LoRA for more specialized visual outputs.
Why Choose This?
-
LoRA-powered image generation Generate images from prompts while steering the result with a custom LoRA.
-
Custom style and subject control Use
lora_weightsto apply a specialized visual style, character concept, or trained aesthetic. -
Flexible sizing options Choose a preset
aspect_ratioor switch tocustomfor direct width and height control. -
LoRA strength adjustment Use
lora_scaleto control how strongly the LoRA influences the final image. -
Seed support for reproducibility Reuse the same
seedto generate more consistent variations. -
Affordable fixed pricing Each generation run uses a simple flat per-image price.
Parameters
| Parameter | Required | Description |
|---|---|---|
| prompt | Yes | Text description of the image you want to generate. |
| width | No | Output image width. Only takes effect when aspect_ratio is set to custom. |
| height | No | Output image height. Only takes effect when aspect_ratio is set to custom. |
| lora_weights | No | URL or Hugging Face path to the LoRA weights you want to use. The LoRA must be trained with the Pruna T2I Trainer. |
| lora_scale | No | Controls how strongly the LoRA influences the generation. |
| hf_api_token | No | Hugging Face API token, useful when accessing a private LoRA repository. |
| aspect_ratio | No | Output aspect ratio. Use a preset ratio or custom. |
| output_format | No | Output image format, such as png. |
| seed | No | Random seed for reproducibility. Use the same seed to get more consistent outputs. |
How to Use
- Write your prompt — describe the subject, composition, style, lighting, and mood you want.
- Provide your LoRA — add
lora_weightspointing to the LoRA you want to use. - Adjust LoRA strength (optional) — set
lora_scaleto control how strongly the LoRA affects the result. - Choose aspect ratio — use a preset ratio or select
customif you want direct control over width and height. - Set width and height (optional) — these only take effect when
aspect_ratiois set tocustom. - Add a Hugging Face token (optional) — use
hf_api_tokenif your LoRA is hosted in a private Hugging Face repository. - Set a seed (optional) — use a fixed seed for more reproducible generations.
- Submit — run the model and download the generated image.
Example Prompt
comic noir art style, a detective standing under a street lamp in the rain
Pricing
Just $0.005 per image.
Best Use Cases
- Custom style generation — Apply a trained LoRA to generate images in a specific visual style.
- Character and concept generation — Use LoRAs trained for specific characters, identities, or art directions.
- Brand or aesthetic consistency — Keep outputs aligned with a known visual language.
- Creative prototyping — Explore prompt variations with a reusable LoRA model.
- Specialized artwork generation — Generate images for niche styles that standard prompting alone may not capture as reliably.
Pro Tips
- Make sure your
lora_weightscome from a LoRA trained with the Pruna T2I Trainer. - Keep prompts clear and focused so the LoRA can guide the result more effectively.
- Adjust
lora_scalegradually to find the right balance between prompt influence and LoRA influence. - Use
customaspect ratio only when you need exactwidthandheightcontrol. - If your LoRA is stored in a private Hugging Face repo, provide
hf_api_tokenso it can be accessed properly. - Reuse the same
seedwhen you want more consistent iterations of the same concept.
Notes
promptis required.widthandheightonly take effect whenaspect_ratiois set tocustom.lora_weightsmust point to a LoRA trained by the Pruna T2I Trainer.hf_api_tokenis only needed when the LoRA repository is private or otherwise requires authentication.- Pricing is fixed at $0.005 per image.
Tested Example
{
“prompt”: “comic noir art style, a detective standing under a street lamp in the rain”,
“lora_weights”: “huggingface.co/PrunaAI/p-image-comic-noir-art-lora/weights.safetensors”,
“lora_scale”: 0.8,
“aspect_ratio”: “1:1”,
“output_format”: “png” }
Related Models
- Pruna AI P-Image Text-to-Image — Generate images directly from prompts without a LoRA.
- Pruna AI P-Image Edit — Edit existing images using natural-language instructions.
- Pruna AI P-Image Upscale — Enhance and enlarge existing images.
Authentication
For authentication details, please refer to the Authentication Guide.
API Endpoints
Submit Task & Query Result
# Submit the task
curl --location --request POST "https://api.wavespeed.ai/api/v3/pruna-ai/p-image/text-to-image-lora" \
--header "Content-Type: application/json" \
--header "Authorization: Bearer ${WAVESPEED_API_KEY}" \
--data-raw '{
"width": 512,
"height": 512,
"lora_scale": 0.5,
"aspect_ratio": "custom",
"output_format": "png",
"seed": -1,
"enable_sync_mode": false,
"enable_base64_output": false
}'
# Get the result
curl --location --request GET "https://api.wavespeed.ai/api/v3/predictions/${requestId}/result" \
--header "Authorization: Bearer ${WAVESPEED_API_KEY}"
Parameters
Task Submission Parameters
Request Parameters
| Parameter | Type | Required | Default | Range | Description |
|---|---|---|---|---|---|
| prompt | string | Yes | - | The positive prompt for generation. | |
| width | integer | No | 512 | 256 ~ 1440 | Output image width in pixels. |
| height | integer | No | 512 | 256 ~ 1440 | Output image height in pixels. |
| lora_weights | string | No | - | - | LoRA weights in Hugging Face format, for example huggingface.co/PrunaAI/p-image-comic-noir-art-lora/weights.safetensors. |
| lora_scale | number | No | 0.5 | -1.00 ~ 3.00 | Scale of the LoRA weights. |
| hf_api_token | string | No | - | - | Optional Hugging Face API token used to access the LoRA weights. |
| aspect_ratio | string | No | custom | 1:1, 16:9, 9:16, 4:3, 3:4, 3:2, 2:3, custom | Aspect ratio of the generated image. |
| output_format | string | No | png | png, jpeg, webp | Output image format. |
| seed | integer | No | -1 | -1 ~ 2147483647 | Random seed. -1 means random. |
| enable_sync_mode | boolean | No | false | - | If set to true, the function will wait for the result to be generated and uploaded before returning the response. It allows you to get the result directly in the response. This property is only available through the API. |
| enable_base64_output | boolean | No | false | - | If enabled, the output will be encoded into a BASE64 string instead of a URL. This property is only available through the API. |
Response Parameters
| Parameter | Type | Description |
|---|---|---|
| code | integer | HTTP status code (e.g., 200 for success) |
| message | string | Status message (e.g., “success”) |
| data.id | string | Unique identifier for the prediction, Task Id |
| data.model | string | Model ID used for the prediction |
| data.outputs | array | Array of URLs to the generated content (empty when status is not completed) |
| data.urls | object | Object containing related API endpoints |
| data.urls.get | string | URL to retrieve the prediction result |
| data.status | string | Status of the task: created, processing, completed, or failed |
| data.created_at | string | ISO timestamp of when the request was created (e.g., “2023-04-01T12:34:56.789Z”) |
| data.error | string | Error message (empty if no error occurred) |
| data.timings | object | Object containing timing details |
| data.timings.inference | integer | Inference time in milliseconds |
Result Request Parameters
| Parameter | Type | Required | Default | Description |
|---|---|---|---|---|
| id | string | Yes | - | Task ID |
Result Response Parameters
| Parameter | Type | Description |
|---|---|---|
| code | integer | HTTP status code (e.g., 200 for success) |
| message | string | Status message (e.g., “success”) |
| data | object | The prediction data object containing all details |
| data.id | string | Unique identifier for the prediction, the ID of the prediction to get |
| data.model | string | Model ID used for the prediction |
| data.outputs | string | Array of URLs to the generated content. |
| data.urls | object | Object containing related API endpoints |
| data.urls.get | string | URL to retrieve the prediction result |
| data.status | string | Status of the task: created, processing, completed, or failed |
| data.created_at | string | ISO timestamp of when the request was created (e.g., “2023-04-01T12:34:56.789Z”) |
| data.error | string | Error message (empty if no error occurred) |
| data.timings | object | Object containing timing details |
| data.timings.inference | integer | Inference time in milliseconds |