Pruna Ai P Image Edit LoRA

Pruna Ai P Image Edit LoRA

Playground

Pruna AI P-Image Edit LORA is a fast AI image editing model that edits and transforms images with LORA-based customization. Ready-to-use REST inference API for text-guided image editing, style changes, character consistency, product image updates, marketing assets, and custom AI editing workflows with simple integration, no coldstarts, and affordable pricing.

Features

Pruna AI P-Image Edit LoRA

Pruna AI P-Image Edit LoRA edits one or more input images using a natural-language instruction, with optional LoRA guidance for stronger style or edit control. It is designed for workflows where you want prompt-based image editing together with a LoRA trained specifically for the Pruna p-image-edit-lora pipeline.

Why Choose This?

• LoRA-guided image editing Edit images with natural-language instructions while steering the result with a compatible LoRA.

• Multi-image reference support Use one to five input images to guide appearance, structure, composition, or scene transformation.

• Edit-specific LoRA control Apply lora_weights and tune lora_scale for stronger stylistic or transformation control.

• Flexible aspect ratio handling Use match_input_image to follow the first input image by default, or select a preset aspect ratio when needed.

• Private LoRA support Use hf_api_token when accessing a private or gated Hugging Face LoRA repository.

• Simple fixed pricing Each run uses a flat per-image price.

Parameters

How to Use

1. Upload your reference images — provide one to five images you want to use for the edit.
2. Write your prompt — describe what should change and what should remain unchanged.
3. Add a LoRA (optional) — provide lora_weights if you want LoRA-guided editing.
4. Adjust LoRA strength (optional) — set lora_scale to control how strongly the LoRA affects the result.
5. Choose aspect ratio — keep match_input_image to follow the first input image, or select a preset ratio if needed.
6. Add a Hugging Face token (optional) — use hf_api_token if your LoRA is private or gated.
7. Choose output format — select png, jpeg, or webp.
8. Set a seed (optional) — use -1 for random output, or a fixed value for more reproducible edits.
9. Submit — run the model and download the edited image.

Example Prompt

Make this scene look like the next scene style.

Pricing

Just $0.01 per generated image.

Best Use Cases

• Scene-to-scene style transfer — Rework one scene to match the visual style of another.
• Character-consistent editing — Preserve identity while changing mood, styling, or composition.
• Reference-guided transformations — Use multiple images and a LoRA for tighter edit control.
• Creative adaptation — Turn existing images into new variants for storytelling, design, or campaign work.
• Edit-specific LoRA workflows — Apply LoRAs trained for editing rather than text-to-image generation.

Pro Tips

• Use a LoRA trained specifically for p-image-edit-lora for best compatibility.
• Text-to-image LoRAs should be used with p-image-lora, not this model.
• When using multiple images, explain each image’s role clearly in the prompt.
• Use match_input_image when you want to preserve the framing of the first input image.
• Adjust lora_scale gradually to balance prompt influence and LoRA influence.
• If your LoRA is private or gated on Hugging Face, provide hf_api_token.
• Reuse the same seed when you want more consistent edit iterations.

Notes

• Both prompt and images are required.
• images supports one to five input images.
• lora_weights is optional.
• LoRAs for this model should be trained for p-image-edit-lora.
• Text-to-image LoRAs should be used with p-image-lora instead.
• aspect_ratio defaults to match_input_image, which follows the first input image.
• seed uses -1 for random generation.
• The backend sends turbo=false and disables the safety checker by default in the internal mapping; these are not user-facing controls.
• Pricing is fixed at $0.01 per generated image.

Related Models

• Pruna AI P-Image Text-to-Image — Generate images directly from prompts.
• Pruna AI P-Image Text-to-Image LoRA — Generate images from prompts with LoRA style control.
• Pruna AI P-Image Edit — Edit images with natural-language instructions without a LoRA.
• Pruna AI P-Image Upscale — Enhance and enlarge existing images.

# Submit the task
curl --location --request POST "https://api.wavespeed.ai/api/v3/pruna-ai/p-image/edit-lora" \
--header "Content-Type: application/json" \
--header "Authorization: Bearer ${WAVESPEED_API_KEY}" \
--data-raw '{
    "lora_scale": 1,
    "aspect_ratio": "match_input_image",
    "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}"