Vultr Inference

核心功能：提供图片生成（支持Flux、SD3.5等模型）和文本对话生成（支持Llama3.1、Mixtral等LLM），可指定图片规格、生成数量及文本参数。典型场景：用户需生成创意图像、艺术品或文本补全时使用。需配置Vultr API密钥，通过curl或Python调用API，输入模型参数、提示词等，输出图片URL/Base64编码或文本对话结果。

happytreees

热度 48.08

最近更新 2026-05-11 17:33:05

分类：创作依赖：第三方 API / 读写文件应用场景：图像生成 / 文案创作 / 故事创作

安装技能

复制下面的话术发给你的 Agent，它会通过 secure-skills 检索并安装该技能。

执行命令安装此 skill： npx secure-skills-cli add vultr-inference

Metadata

name: vultr-inference
version: 1.0.0
description: Generate images and text using Vultr Inference API. Supports Flux image generation and various LLMs for text. Use when user wants to generate images, artwork, or text completions.
author: Jimmy
tags: ["vultr","inference","image-generation","ai","flux","llm"]
requires: {"files":[{"path":"~/.config/vultr/api_key","description":"Vultr API key (same as Vultr Cloud API key)"}]}

vultr-inference

Generate images and text using Vultr's Inference API.

Setup

Uses the same API key as Vultr Cloud API. Store it at:

~/.config/vultr/api_key

Image Generation

Available Models

Model	Description
`flux.1-dev`	FLUX.1-dev - High quality
`flux.1-schnell`	FLUX.1-schnell - Fast generation
`stable-diffusion-3.5-medium`	SD 3.5 Medium - Balanced

Generate Image

curl -X POST "https://api.vultrinference.com/v1/images/generations" \
  -H "Authorization: Bearer $VULTR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "flux.1-schnell",
    "prompt": "a hedgehog eating a burger in Amsterdam",
    "n": 1,
    "size": "1024x1024"
  }'

Parameters

Parameter	Type	Description
`model`	string	`flux.1-dev`, `flux.1-schnell`, `stable-diffusion-3.5-medium`
`prompt`	string	Text description of image
`n`	int	Number of images (1-4)
`size`	string	`256x256`, `512x512`, `1024x1024`
`response_format`	string	`url` (default) or `b64_json`

Response

{
  "created": 1734567890,
  "data": [
    {
      "url": "https://ewr.vultrobjects.com/vultrinference-images/tmp_xxx.png"
    }
  ]
}

Text Generation (Chat Completions)

Available Models

llama-3.1-405b-instruct - Meta Llama 3.1 405B
llama-3.1-70b-instruct - Meta Llama 3.1 70B
llama-3.1-8b-instruct - Meta Llama 3.1 8B
mixtral-8x7b-32768 - Mixtral 8x7B
qwen-2-72b-instruct - Qwen 2 72B

Chat Completion

curl -X POST "https://api.vultrinference.com/v1/chat/completions" \
  -H "Authorization: Bearer $VULTR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "llama-3.1-70b-instruct",
    "messages": [
      {"role": "user", "content": "Hello, how are you?"}
    ],
    "max_tokens": 100
  }'

Parameters

Parameter	Type	Description
`model`	string	Model ID from list above
`messages`	array	Chat messages with role and content
`max_tokens`	int	Maximum tokens to generate
`temperature`	float	Randomness (0-2, default 1)
`stream`	bool	Stream response (default false)

Python Example

import os
import requests

API_KEY = open(os.path.expanduser("~/.config/vultr/api_key")).read().strip()

# Generate image
response = requests.post(
    "https://api.vultrinference.com/v1/images/generations",
    headers={"Authorization": f"Bearer {API_KEY}"},
    json={
        "model": "flux.1-schnell",
        "prompt": "a hedgehog eating a burger",
        "size": "512x512",
        "n": 1
    }
)

result = response.json()
image_url = result["data"][0]["url"]
print(f"Image URL: {image_url}")

# Download image
img_response = requests.get(image_url)
with open("generated_image.png", "wb") as f:
    f.write(img_response.content)

List Available Models

curl -s "https://api.vultrinference.com/v1/models" \
  -H "Authorization: Bearer $VULTR_API_KEY" | jq

Troubleshooting

401 Unauthorized

Check API key is valid
Ensure key has inference permissions

400 Bad Request

Check model name is correct
Check size is valid (256x256, 512x512, 1024x1024)
Check prompt is not empty

Rate Limits

Default: 60 requests per minute
Contact support for higher limits