Clip Interrogator - Image to Prompt

Clip Interrogator Brief overview

CLIP Interrogator analyzes an image and suggests a detailed text prompt you can reuse with text‑to‑image models (e.g., Stable Diffusion) to recreate or riff on the image’s style and content. It combines OpenAI’s CLIP with Salesforce’s BLIP captioning under an MIT open‑source license.

How‑to‑use

Open the Colab notebook (the official repo links to Colab, Hugging Face, and Replicate options).
Run the setup cell to install dependencies.
Upload an image (or paste an image URL).
Pick a CLIP model: for Stable Diffusion 1.x use ViT‑L/14; for 2.x+ use ViT‑H/14.
Click the interrogate/run cell. Copy the suggested prompt and use it in your image generator.

Alternatives: There’s a web UI Space on Hugging Face and a Stable Diffusion WebUI extension if you prefer a GUI or local workflow.

Clip Interrogator Key features & functions

Image → Prompt (reverse prompting): Generates prompts by ranking artists, styles, mediums, and keywords that best match your image, blending CLIP similarity with a BLIP caption.
Model selection for accuracy: Supports multiple CLIP backends; recommended ViT‑L/14 for SD 1.x and ViT‑H/14 for SD 2.x.
Runs anywhere: Use it on Colab, Hugging Face Space, Replicate, or locally via the Python package (pip install clip-interrogator).
Low‑VRAM options: Configuration includes a low‑VRAM mode (approx. 2.7 GB vs. ~6.3 GB default) for modest GPUs.
Stable Diffusion WebUI integration: Official extension adds an Interrogator tab; simple API endpoints expose models, prompt generation, and term scoring.

Pricing

Replicate (hosted API): Listed at about $0.00037 per run on an Nvidia T4 (pricing and hardware may change).

Core tool: Free and open‑source (MIT).

Colab: Usable on Google’s free tier; Colab Pro is optional if you want faster GPUs (from Google, separate from this project).

Hugging Face Space: Public Space is free to try (availability may vary).

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Clip Interrogator Brief overview

How‑to‑use

Open the Colab notebook (the official repo links to Colab, Hugging Face, and Replicate options).
Run the setup cell to install dependencies.
Upload an image (or paste an image URL).
Pick a CLIP model: for Stable Diffusion 1.x use ViT‑L/14; for 2.x+ use ViT‑H/14.
Click the interrogate/run cell. Copy the suggested prompt and use it in your image generator.

Alternatives: There’s a web UI Space on Hugging Face and a Stable Diffusion WebUI extension if you prefer a GUI or local workflow.

Clip Interrogator Key features & functions

Image → Prompt (reverse prompting): Generates prompts by ranking artists, styles, mediums, and keywords that best match your image, blending CLIP similarity with a BLIP caption.
Model selection for accuracy: Supports multiple CLIP backends; recommended ViT‑L/14 for SD 1.x and ViT‑H/14 for SD 2.x.
Runs anywhere: Use it on Colab, Hugging Face Space, Replicate, or locally via the Python package (pip install clip-interrogator).
Low‑VRAM options: Configuration includes a low‑VRAM mode (approx. 2.7 GB vs. ~6.3 GB default) for modest GPUs.
Stable Diffusion WebUI integration: Official extension adds an Interrogator tab; simple API endpoints expose models, prompt generation, and term scoring.