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"""
Examples codes for Fooocus API
"""
import json
import os
import requests
class Config:
"""
Config
Attributes:
fooocus_host (str): Fooocus API host
img_upscale (str): Upscale or Vary
inpaint_outpaint (str): Inpaint or Outpaint
img_prompt (str): Image Prompt
"""
fooocus_host = 'http://127.0.0.1:8888'
text2image = '/v1/generation/text-to-image'
img_upscale = '/v1/generation/image-upscale-vary'
inpaint_outpaint = '/v1/generation/image-inpaint-outpaint'
img_prompt = '/v1/generation/image-prompt'
def read_image(image_name: str) -> bytes:
"""
Read image from file
Args:
image_name (str): Image file name
Returns:
image (bytes): Image data
"""
path = os.path.join('imgs', image_name)
with open(path, "rb") as f:
image = f.read()
f.close()
return image
class ImageList:
"""
Image List
"""
bear = read_image('bear.jpg')
image_prompt_0 = read_image('image_prompt-0.jpg')
image_prompt_1 = read_image('image_prompt-1.png')
image_prompt_2 = read_image('image_prompt-2.png')
image_prompt_3 = read_image('image_prompt-3.png')
inpaint_source = read_image('inpaint_source.jpg')
inpaint_mask = read_image('inpaint_mask.png')
source_face_f = read_image('source_face_female.png')
source_face_m = read_image('source_face_man.png')
target_face = read_image('target_face.png')
def text2image(params: dict) -> dict:
"""
Text to image
Args:
params (dict): Params
Returns:
dict: Response
"""
data = json.dumps(params)
response = requests.post(
url=f"{Config.fooocus_host}{Config.text2image}",
data=data,
timeout=300)
return response.json()
def upscale_vary(image: bytes, params: dict) -> dict:
"""
Upscale or Vary
Args:
image (bytes): Image data
params (dict): Params
Returns:
dict: Response
"""
response = requests.post(
url=f"{Config.fooocus_host}{Config.img_upscale}",
data=params,
files={
'input_image': image,
},
timeout=300)
return response.json()
def inpaint_outpaint(
params: dict,
input_image: bytes,
input_mask: bytes = None) -> dict:
"""
Inpaint or Outpaint
Args:
params (dict): Params
input_image (bytes): Image data
input_mask (bytes): Image mask data
Returns:
dict: Response
"""
response = requests.post(
url=f"{Config.fooocus_host}{Config.inpaint_outpaint}",
data=params,
files={
'input_image': input_image,
'input_mask': input_mask
},
timeout=300)
return response.json()
def image_prompt(
params: dict,
input_image: bytes = None,
input_mask: bytes = None,
cn_img1: bytes = None,
cn_img2: bytes = None,
cn_img3: bytes = None,
cn_img4: bytes = None,) -> dict:
"""
Image Prompt
Args:
params (dict): Params
input_image (bytes): Image data
input_mask (bytes): Image mask data
cn_img1 (bytes): Image data
cn_img2 (bytes): Image data
cn_img3 (bytes): Image data
cn_img4 (bytes): Image data
Returns:
dict: Response
"""
response = requests.post(
url=f"{Config.fooocus_host}{Config.img_prompt}",
data=params,
files={
'input_image': input_image,
'input_mask': input_mask,
'cn_img1': cn_img1,
'cn_img2': cn_img2,
'cn_img3': cn_img3,
'cn_img4': cn_img4
},
timeout=300)
return response.json()
# ###############################################################
# Text to image example
# ################################################################
# Text to image example
t2i_params = {
"prompt": "a cat",
"performance_selection": "Lightning",
"aspect_ratios_selection": "896*1152",
"async_process": True
}
t2i_result = text2image(params=t2i_params)
print(json.dumps(t2i_result))
# ###############################################################
# Upscale or Vary example
# ################################################################
# Upscale or Vary example
up_params = {
"uov_method": "Upscale (2x)",
"async_process": True
}
up_result = upscale_vary(
image=ImageList.bear,
params=up_params
)
print(json.dumps(up_result))
# ###############################################################
# Inpaint or Outpaint example
# ################################################################
# Inpaint or Outpaint example
io_params = {
"prompt": "a cat",
"outpaint_selections": "Left,Top",
"async_process": True
}
io_result = inpaint_outpaint(
params=io_params,
input_image=ImageList.inpaint_source,
input_mask=ImageList.inpaint_mask
)
print(json.dumps(io_result))
# ###############################################################
# Image prompt example
# ################################################################
# Image prompt example
ip_params = {
"prompt": "a cat",
"image_prompts": [
{
"cn_stop": 0.6,
"cn_weight": 0.6,
"cn_type": "ImagePrompt"
},
{
"cn_stop": 0.6,
"cn_weight": 0.6,
"cn_type": "ImagePrompt"
}
]
}
ip_result = image_prompt(
params=ip_params,
cn_img1=ImageList.image_prompt_0,
cn_img2=ImageList.image_prompt_1,
)
print(json.dumps(ip_result))
# ###############################################################
# Image Enhance
# ################################################################
# Image Enhance
import requests
url = "http://localhost:8888/v1/generation/image-enhance"
# Define the file path and other form data
file_path = "./examples/imgs/source_face_man.png"
form_data = {
"enhance_checkbox": True,
"enhance_uov_method": "Disabled",
"enhance_enabled_1": True,
"enhance_mask_dino_prompt_1": "face",
"enhance_enabled_2": True,
"enhance_mask_dino_prompt_2": "eyes",
}
# Open the file and prepare it for the request
with open(file_path, "rb") as f:
image = f.read()
f.close()
# Send the request
response = requests.post(
url,
files={"enhance_input_image": image},
data=form_data,
timeout=180)
# Print the response content
print(response.text)
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