예술
Replicate
Plug in an image and it will attempt to give you a prompt to replicate that image
Traffic Trends
Traffic and engagement over the recent period
Traffic Trend & Ranking
A unified view of monthly visits, global ranking, and region-level ranking.
All-channel Traffic Sources
A breakdown of how traffic is distributed across inbound channels.
User Engagement Analysis
Use bounce rate, visit depth, and time on site to understand engagement quality.
Top Countries
Countries and regions contributing the highest share of visits.
Why choose Replicate?
Core Functionality
methexis-inc/img2prompt provides approximate text prompt generation with style, which can be used with stable diffusion to re-create similar looking versions of the image/painting. It is optimized for stable-diffusion (clip ViT-L/14). The CLIP Interrogator uses the OpenAI CLIP models to test a given image against a variety of artists, mediums, and styles to study how the different models see the content of the image. It also combines the results with BLIP caption to suggest a text prompt.
Usage Instructions & Workflow
- Input: Upload a file from your machine or provide an image URL.
- Processing: The model interrogates the image using ViT-L/14.
- Output: Generates a text prompt containing image content, style, artists, etc. (e.g., "a cat wearing a suit and tie with green eyes, a stock photo by Hanns Katz, pexels, furry art, stockphoto, creative commons attribution, quantum wavetracing").
Running Methods
- API Calls: Supports Node.js, Python, and HTTP API. Requires setting the
REPLICATE_API_TOKENenvironment variable and uses the model version ID50adaf2d3ad20a6f911a8a9e3ccf777b263b8596fbd2c8fc26e8888f8a0edbb5. - Local Execution: Can be downloaded and run locally using Cog or Docker. Requires Nvidia T4 GPU hardware.
Pricing & Costs
- This model costs approximately $0.011 to run on Replicate, or 90 runs per $1, but this varies depending on your inputs.
- Predictions typically complete within 49 seconds. The first API call will boot the model (cold boot) and may take longer, but subsequent responses will be fast.
Technical Background & Source
A slightly adapted version of the CLIP Interrogator notebook by @pharmapsychotic. It is open source under its License, with source code hosted on GitHub (pharmapsychotic/clip-interrogator).
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