Huggingface入门

Huggingface：https://huggingface.co/
选取Models模块，搜搜flux，选择XLabs-AI/flux-RealismLora
在API部分选择View Code：

得到以下代码：

import requests

API_URL = "https://api-inference.huggingface.co/models/XLabs-AI/flux-RealismLora"
headers = {"Authorization": "Bearer hf_xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx"}

def query(payload):
	response = requests.post(API_URL, headers=headers, json=payload)
	return response.content
image_bytes = query({
	"inputs": "Astronaut riding a horse",
})
# You can access the image with PIL.Image for example
import io
from PIL import Image
image = Image.open(io.BytesIO(image_bytes))

选择tokens：

创建新token

选择write，填入自定义的token name

把create的token替换代码中的hf_xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx，再加工一下：

import gradio as gr
import requests
import io
from PIL import Image

API_URL = "https://api-inference.huggingface.co/models/XLabs-AI/flux-RealismLora"
headers = {"Authorization": "Bearer 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"}

def query(payload):
    response = requests.post(API_URL, headers=headers, json=payload)
    return response.content

def generate_image(prompt):
    image_bytes = query({"inputs": prompt})
    image = Image.open(io.BytesIO(image_bytes))
    return image

# 创建 Gradio 界面
iface = gr.Interface(
    fn=generate_image,
    inputs=gr.Textbox(label="输入提示词", placeholder="描述你的图像...(最好是英文)"),
    outputs=gr.Image(label="生成的图像"),
    title="Flux 图像生成 by FAVE",
    description="输入一个描述，生成相应的图像。"
)

# 启动 Gradio 应用
iface.launch(share=True)

即可生成一个可分享给他人的链接，打开是一个图形化界面的图片生成网站

我利用"Two anime characters, a man and a woman, sitting on a bench at the foot of Mount Fuji, back to back"生成了以下图片：