ComfyUI Extension: comfyui-pruna

Authored by PrunaAI

Created

Updated

0 stars

Run ComfyUI workflows without the setup

No installs, no CUDA version roulette, no GPU sitting idle on your bill. Bring a workflow and run it in the browser.

ComfyUI custom nodes for the Pruna API

Looking for a different extension?

Custom Nodes (6)

README

ComfyUI Pruna API

ComfyUI custom nodes for running Pruna API models directly inside ComfyUI workflows.

Nodes

Pruna Text to Image

Generate images from text prompts using the Pruna API.

Inputs

| Input | Type | Description | |---|---|---| | prompt | string | Text description of the image to generate | | model | dropdown | Pruna API model to use | | aspect_ratio | dropdown | Output image aspect ratio | | api_key | string | Your Pruna API key (or set PRUNA_API_KEY env var) |

Output: IMAGE — compatible with any ComfyUI node that accepts an image.

Supported models: p-image

Supported aspect ratios: 1:1, 16:9, 9:16, 4:3, 3:4, 3:2, 2:3


Pruna Text to Image LoRA

Generate images from text prompts with a custom LoRA using the Pruna API.

LoRA weights must be a HuggingFace URL in the format huggingface.co/<username>/<repo>[/<filename>]. LoRAs must be trained with p-image-trainer.

Inputs

| Input | Type | Description | |---|---|---| | prompt | string | Text description of the image to generate | | model | dropdown | Pruna API model to use | | lora_weights | string | HuggingFace path to LoRA weights | | lora_scale | float | LoRA influence scale (−1.0 – 3.0, default 0.5) | | aspect_ratio | dropdown | Output image aspect ratio | | api_key | string | Your Pruna API key (or set PRUNA_API_KEY env var) | | hf_api_token | string (optional) | HuggingFace token for private repos |

Output: IMAGE

Supported models: p-image-lora

Supported aspect ratios: 1:1, 16:9, 9:16, 4:3, 3:4, 3:2, 2:3


Pruna Image Edit

Edit an image with a text instruction using the Pruna API.

Inputs

| Input | Type | Description | |---|---|---| | image | IMAGE | Input image to edit | | prompt | string | Edit instruction | | model | dropdown | Pruna API model to use | | aspect_ratio | dropdown | Output aspect ratio (match_input_image preserves the original) | | api_key | string | Your Pruna API key (or set PRUNA_API_KEY env var) |

Output: IMAGE

Supported models: p-image-edit

Supported aspect ratios: match_input_image, 1:1, 16:9, 9:16, 4:3, 3:4, 3:2, 2:3


Pruna Image Edit LoRA

Edit an image with a text instruction and a custom LoRA using the Pruna API.

LoRA weights must be a HuggingFace URL in the format huggingface.co/<username>/<repo>[/<filename>]. LoRAs must be trained with p-image-edit-trainer.

Inputs

| Input | Type | Description | |---|---|---| | image | IMAGE | Input image to edit | | prompt | string | Edit instruction | | model | dropdown | Pruna API model to use | | lora_weights | string | HuggingFace path to LoRA weights | | lora_scale | float | LoRA influence scale (−1.0 – 3.0, default 0.5) | | aspect_ratio | dropdown | Output aspect ratio | | api_key | string | Your Pruna API key (or set PRUNA_API_KEY env var) | | hf_api_token | string (optional) | HuggingFace token for private repos |

Output: IMAGE

Supported models: p-image-edit-lora

Supported aspect ratios: match_input_image, 1:1, 16:9, 9:16, 4:3, 3:4, 3:2, 2:3


Pruna Image Upscale

AI-upscale an image to a target megapixel size using the Pruna API.

Inputs

| Input | Type | Description | |---|---|---| | image | IMAGE | Input image to upscale | | target_mp | int | Target size in megapixels (1–8, default 4) | | enhance_details | boolean | Apply detail enhancement pass | | enhance_realism | boolean | Apply realism enhancement pass | | api_key | string | Your Pruna API key (or set PRUNA_API_KEY env var) |

Output: IMAGE

Model: p-image-upscale (fixed)

Pricing: $0.005/image for 1–4 MP target · $0.01/image for 5–8 MP target


Pruna Video

Generate a video from a text prompt using the Pruna API. Optionally connect an image to animate it instead of generating from scratch (image-to-video mode).

Inputs

| Input | Type | Description | |---|---|---| | prompt | string | Text description of the video | | duration | int | Video length in seconds (1–20, default 5) | | resolution | dropdown | Output resolution (720p or 1080p) | | aspect_ratio | dropdown | Output aspect ratio | | draft | boolean | Use draft mode (faster, lower cost) | | api_key | string | Your Pruna API key (or set PRUNA_API_KEY env var) | | image | IMAGE (optional) | Source image to animate (image-to-video mode) |

Output: STRING (video URL) — pass to a video preview or download node.

Model: p-video (fixed)

Supported aspect ratios: 16:9, 9:16, 4:3, 3:4, 3:2, 2:3, 1:1

Pricing:

| Resolution | Draft OFF | Draft ON | |---|---|---| | 720p | $0.02/sec | $0.005/sec | | 1080p | $0.04/sec | $0.01/sec |


Installation

Via ComfyUI Manager (recommended)

Search for ComfyUI Pruna API in the ComfyUI Manager and click Install.

Manual installation

cd ComfyUI/custom_nodes
git clone https://github.com/PrunaAI/ComfyUI_pruna_api
pip install -r ComfyUI_pruna_api/requirements.txt

Restart ComfyUI. The nodes appear under the pruna ai category in the node browser.

Authentication

Get your API key from the Pruna developer portal.

You can provide your key in two ways:

Option 1 — Node field: Type your key directly into the api_key input on the node.

Option 2 — Environment variable (recommended): Set PRUNA_API_KEY before launching ComfyUI:

# macOS / Linux
export PRUNA_API_KEY="your-key-here"
python main.py

# Windows
set PRUNA_API_KEY="your-key-here"
python main.py

If both are provided, the node field takes priority.

License

MIT

Run ComfyUI workflows without the setup

No installs, no CUDA version roulette, no GPU sitting idle on your bill. Bring a workflow and run it in the browser.

Learn more