Stable Diffusion API 调用指南--火山方舟大模型服务平台-火山引擎

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Stable Diffusion API 调用指南

最近更新时间：2024.05.14 23:51:40首次发布时间：2024.05.14 23:51:40

API Host

Host：maas-api.ml-platform-cn-beijing.volces.com
Region: cn-beijing

Model Inference

目前请求体传入上限需要控制在4M以内

Images

QuickGen/FlexGen

request

字段	类型	描述
prompt	string	正向提示词，生成的图与输入内容正相关
negative_prompt	string	负向提示词，生成的图与输入内容负相关
init_image	bytes	传入会启用img2img并增加latency，生成的图与传入图片会有正相关性
control_image_list	List of bytes	config内使用controlnet后才会起效，图片会通过controlnet控制生成内容。传入内容是一个bytes列表，目前只有list的第一个元素会启用
seed	int	随机数种子
strength	float	denoise强度，输入范围须在(0, 1.0]
height	int	生图的height，会向下取整到8的倍数，例如500->496。输入范围须在(0, 1024]
width	int	生图的width，会向下取整到8的倍数，例如500->496。输入范围须在(0, 1024]
num_inference_steps	int	去噪步长
sampler_name	string	可选为： `["euler", "euler_ancestral", "heun", "heunpp2","lms", "dpm_fast", "dpm_adaptive", "dpmpp_2s_ancestral", "dpmpp_sde", "dpmpp_sde_gpu", "dpmpp_2m", "dpmpp_2m_sde", "dpmpp_2m_sde_gpu", "dpmpp_3m_sde", "dpmpp_3m_sde_gpu", "ddpm", "lcm"]`
scheduler	string	可选为： `["normal", "karras", "exponential", "simple", "ddim_uniform"]`
cfg_scale	float	The classifier free guidance(cfg) scale，控制与提示词的相关性，数值越大与提示词相关性越强，过大会导致失真。

response

字段类型描述

字段	类型	描述
data	list	目前开放出的内容为 `"data": [ { "url": "", #f"data:image/jpeg;base64,{encoded_string}" "image_bytes": "" #bytes 未启用 }, ]` 其中url的返回值是data:image/jpeg;base64,{encoded_string}，encoded_string为一个编码为base64的PNG格式图片

data

list

目前开放出的内容为

"data": [
            {
                "url": "",         #f"data:image/jpeg;base64,{encoded_string}"
                "image_bytes": ""  #bytes 未启用
            },
         ]

其中url的返回值是data:image/jpeg;base64,{encoded_string}，encoded_string为一个编码为base64的PNG格式图片

Code sample

go
https://github.com/volcengine/volc-sdk-golang/tree/main/example/maas/v2/images

Python
https://github.com/volcengine/volc-sdk-python/blob/main/volcengine/example/maas/v2/image

java
https://github.com/volcengine/volc-sdk-java/tree/main/example/src/main/java/com/volcengine/example/maas/v2/images

Curl

// Request
// quick-gen: https://maas-api.ml-platform-cn-beijing.volces.com/api/v2/endpoint/${YOUR_ENDPOINT_ID}/images/quick-gen
// flex-gen: https://maas-api.ml-platform-cn-beijing.volces.com/api/v2/endpoint/${YOUR_ENDPOINT_ID}/images/flex-gen
curl --request POST \
  --url https://maas-api.ml-platform-cn-beijing.volces.com/api/v2/endpoint/${YOUR_ENDPOINT_ID}/images/flex-gen  \
  --header 'Accept: application/json' \
  --header 'Content-Type: application/json' \
  --data '{
    "prompt": "(sfw:1.0),",
    "parameters": {
        "seed": 38,
        "strength": 0.88,
        "num_inference_steps": 10,
        "cfg_scale": 1.0
    },
    "control_image_list":["/9j/4AAQSkZJRgABAQAAAQABAAD/2wBDAAMCAgICAgMCAgIDAwMDBAYEBAQEBAgGBgUGCQgKCgkICQkKDA8MCgsOCwkJDRENDg8QEBEQCgwSExIQEw8QEBD/2wBDAQMDAwQDBAgEBAgQCwkLEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBD/wAARCAAWABQDAREAAhEBAxEB/8QAFgABAQEAAAAAAAAAAAAAAAAAAAUJ/8QAGRAAAQUAAAAAAAAAAAAAAAAAAAEEFFOi/8QAFQEBAQAAAAAAAAAAAAAAAAAAAAL/xAAVEQEBAAAAAAAAAAAAAAAAAAAAEf/aAAwDAQACEQMRAD8A1TAAAAAABPkObsoVE0kObsoIUkObsoIV/9k="]
}'

// Response
{
    "data": [
                {
                    "url": "data:image/jpeg;base64,/9j/4AAQSkZJRgABAQAAAQABAAD/2wBDAAMCAgICAgMCAgIDAwMDBAYEBAQEBAgGBgUGCQgKCgkICQkKDA8MCgsOCwkJDRENDg8QEBEQCgwSExIQEw8QEBD/2wBDAQMDAwQDBAgEBAgQCwkLEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBD/wAARCAAWABQDAREAAhEBAxEB/8QAFgABAQEAAAAAAAAAAAAAAAAAAAUJ/8QAGRAAAQUAAAAAAAAAAAAAAAAAAAEEFFOi/8QAFQEBAQAAAAAAAAAAAAAAAAAAAAL/xAAVEQEBAAAAAAAAAAAAAAAAAAAAEf/aAAwDAQACEQMRAD8A1TAAAAAABPkObsoVE0kObsoIUkObsoIV/9k=",
                },
             ]
}