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import streamlit as st
import requests
from model_config import image_model_list
url = "https://api.siliconflow.cn/v1/images/generations"
flux_image_size = [
"1024x1024",
"960x1280",
"768x1024",
"720x1440",
"720x1280",
"others"
]
sd_image_size = [
"1024x1024",
"512x1024",
"768x512",
"768x512",
"1024x576",
"576x1024"
]
def flux_image_generator(api_key: str, prompt: str, image_size: str, seed: int, step: int, prompt_enhancement: bool):
if seed is not None:
payload = {
"model": "black-forest-labs/FLUX.1-dev",
"prompt": prompt,
"image_size": image_size,
"seed": seed,
"num_inference_steps": step,
"prompt_enhancement": prompt_enhancement
}
elif seed is None:
payload = {
"model": "black-forest-labs/FLUX.1-dev",
"prompt": prompt,
"image_size": image_size,
"num_inference_steps": step,
"prompt_enhancement": prompt_enhancement
}
headers = {
"Authorization": f"Bearer {api_key}",
"Content-Type": "application/json"
}
response = requests.request("POST", url, json=payload, headers=headers)
if response.status_code == 200:
response_object = response.json()
response_data = response_object["images"]
response_url = response_data[0]["url"]
return response_url
def sd_image_generator(api_key: str, prompt: str, negative_prompt: str, image_size: str, seed: int, step: int, guidance_scale: int, prompt_enhancement: bool):
if seed is not None:
payload = {
"model": "stabilityai/stable-diffusion-3-5-large",
"prompt": prompt,
"negative_prompt": negative_prompt,
"image_size": image_size,
"batch_size": 1,
"seed": seed,
"num_inference_steps": step,
"guidance_scale": guidance_scale,
"prompt_enhancement": prompt_enhancement
}
else:
payload = {
"model": "stabilityai/stable-diffusion-3-5-large",
"prompt": prompt,
"negative_prompt": negative_prompt,
"image_size": image_size,
"batch_size": 1,
"num_inference_steps": step,
"guidance_scale": guidance_scale,
"prompt_enhancement": prompt_enhancement
}
headers = {
"Authorization": f"Bearer {api_key}",
"Content-Type": "application/json"
}
response = requests.request("POST", url, json=payload, headers=headers)
if response.status_code == 200:
response_object = response.json()
response_data = response_object["images"]
response_url = response_data[0]["url"]
return response_url
def imageGeneration(api_key: str):
if "image_url" not in st.session_state:
st.session_state.image_url = ""
if "generate_state" not in st.session_state:
st.session_state.generate_state = False
with st.sidebar:
reset_btn = st.button("Reset", "img_reset_btn", type="primary", use_container_width=True, disabled=st.session_state.image_url=="")
model_list = image_model_list
model = st.selectbox("Model", model_list, 0, key="img_model", disabled=st.session_state.image_url!="")
if model == "black-forest-labs/FLUX.1-dev":
with st.sidebar:
image_size = st.selectbox("Image Size", flux_image_size, 0, key="flux_img_size")
if image_size == "others":
length = st.text_input("Length", "", key="length")
width = st.text_input("Width", "", key="width")
if length and width and "." not in length and "." not in width:
if length[0]!="0" and width[0]!="0":
image_size = f"{length}x{width}"
st.session_state.generate_state = False
st.markdown(f"Custom Image Size: `{image_size}`")
elif length[0]=="0" or width[0]=="0":
st.session_state.generate_state = True
st.warning("Please input an integer!")
elif "." in length or "." in width:
st.session_state.generate_state = True
st.warning("Please input an integer!")
step = st.slider("Inference Steps", 1, 50, 50, 1, key="flux_step")
seed_input = st.text_input("Seed", "", key="flux_seed")
if seed_input and "." not in seed_input:
try:
seed = int(seed_input)
st.session_state.generate_state = False
except Exception as e:
st.session_state.generate_state = True
st.error(f"Error occured: {e}")
elif seed_input and "." in seed_input:
st.session_state.generate_state = True
st.warning("Please input an integer!")
elif not seed_input:
st.session_state.generate_state = False
seed = None
prompt_enhancement = st.toggle("Prompt Enhancement", False, key="flux_enhancement")
prompt = st.text_area("Prompt", "", key="flux_prompt", disabled=st.session_state.generate_state)
generate_btn = st.button("Generate", "flux_generate", type="primary", disabled=prompt=="")
if generate_btn:
try:
with st.spinner("Generating..."):
st.session_state.image_url = flux_image_generator(api_key, prompt, image_size, seed, step, prompt_enhancement)
st.rerun()
except Exception as e:
st.error(f"Error occured: {e}")
if st.session_state.image_url != "":
st.image(st.session_state.image_url, output_format="PNG")
elif model == "stabilityai/stable-diffusion-3-5-large":
with st.sidebar:
image_size = st.selectbox("Image Size", sd_image_size, 0, key="sd_img_size")
step = st.slider("Inference Steps", 1, 50, 50, 1, key="sd_step")
guidance_scale = st.slider("Guidance Scale", 0.0, 20.0, 4.5, 0.1, key="sd_guidance")
seed_input = st.text_input("Seed", "", key="sd_seed")
if seed_input and "." not in seed_input:
try:
seed = int(seed_input)
st.session_state.generate_state = False
except Exception as e:
st.session_state.generate_state = True
st.error(f"Error occured: {e}")
elif seed_input and "." in seed_input:
st.session_state.generate_state = True
st.warning("Please input an integer!")
elif not seed_input:
st.session_state.generate_state = False
seed = None
prompt_enhancement = st.toggle("Prompt Enhancement", False, key="sd_enhancement")
prompt = st.text_area("Prompt", "", key="sd_prompt", disabled=st.session_state.generate_state)
negative_prompt = st.text_area("Negative Prompt", "", key="negative_prompt", disabled=st.session_state.generate_state)
generate_btn = st.button("Generate", "sd_generate", type="primary", disabled=prompt=="")
if generate_btn:
try:
with st.spinner("Generating..."):
st.session_state.image_url = sd_image_generator(api_key, prompt, negative_prompt, image_size, seed, step, guidance_scale, prompt_enhancement)
st.rerun()
except Exception as e:
st.error(f"Error occured: {e}")
if st.session_state.image_url != "":
st.image(st.session_state.image_url, output_format="PNG")
if reset_btn:
st.session_state.image_url = ""
st.rerun()
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