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import gradio as gr | |
import requests | |
import io | |
import random | |
import os | |
from PIL import Image | |
list_models = [ | |
"SDXL-1.0", | |
"SD-1.5", | |
"OpenJourney-V4", | |
"Anything-V4", | |
"Disney-Pixar-Cartoon", | |
"Pixel-Art-XL", | |
"Dalle-3-XL", | |
"Midjourney-V4-XL", | |
] | |
def generate_txt2img(current_model, prompt, is_negative=False, image_style="None style", steps=50, cfg_scale=7, | |
seed=None): | |
if current_model == "SD-1.5": | |
API_URL = "https://api-inference.huggingface.co/models/runwayml/stable-diffusion-v1-5" | |
elif current_model == "SDXL-1.0": | |
API_URL = "https://api-inference.huggingface.co/models/stabilityai/stable-diffusion-xl-base-1.0" | |
elif current_model == "OpenJourney-V4": | |
API_URL = "https://api-inference.huggingface.co/models/prompthero/openjourney" | |
elif current_model == "Anything-V4": | |
API_URL = "https://api-inference.huggingface.co/models/xyn-ai/anything-v4.0" | |
elif current_model == "Disney-Pixar-Cartoon": | |
API_URL = "https://api-inference.huggingface.co/models/stablediffusionapi/disney-pixar-cartoon" | |
elif current_model == "Pixel-Art-XL": | |
API_URL = "https://api-inference.huggingface.co/models/nerijs/pixel-art-xl" | |
elif current_model == "Dalle-3-XL": | |
API_URL = "https://api-inference.huggingface.co/models/openskyml/dalle-3-xl" | |
elif current_model == "Midjourney-V4-XL": | |
API_URL = "https://api-inference.huggingface.co/models/openskyml/midjourney-v4-xl" | |
API_TOKEN = os.environ.get("HF_READ_TOKEN") | |
headers = {"Authorization": f"Bearer {API_TOKEN}"} | |
if image_style == "None style": | |
payload = { | |
"inputs": prompt + ", 8k", | |
"is_negative": is_negative, | |
"steps": steps, | |
"cfg_scale": cfg_scale, | |
"seed": seed if seed is not None else random.randint(-1, 2147483647) | |
} | |
elif image_style == "Cinematic": | |
payload = { | |
"inputs": prompt + ", realistic, detailed, textured, skin, hair, eyes, by Alex Huguet, Mike Hill, Ian Spriggs, JaeCheol Park, Marek Denko", | |
"is_negative": is_negative + ", abstract, cartoon, stylized", | |
"steps": steps, | |
"cfg_scale": cfg_scale, | |
"seed": seed if seed is not None else random.randint(-1, 2147483647) | |
} | |
elif image_style == "Digital Art": | |
payload = { | |
"inputs": prompt + ", faded , vintage , nostalgic , by Jose Villa , Elizabeth Messina , Ryan Brenizer , Jonas Peterson , Jasmine Star", | |
"is_negative": is_negative + ", sharp , modern , bright", | |
"steps": steps, | |
"cfg_scale": cfg_scale, | |
"seed": seed if seed is not None else random.randint(-1, 2147483647) | |
} | |
elif image_style == "Portrait": | |
payload = { | |
"inputs": prompt + ", soft light, sharp, exposure blend, medium shot, bokeh, (hdr:1.4), high contrast, (cinematic, teal and orange:0.85), (muted colors, dim colors, soothing tones:1.3), low saturation, (hyperdetailed:1.2), (noir:0.4), (natural skin texture, hyperrealism, soft light, sharp:1.2)", | |
"is_negative": is_negative, | |
"steps": steps, | |
"cfg_scale": cfg_scale, | |
"seed": seed if seed is not None else random.randint(-1, 2147483647) | |
} | |
image_bytes = requests.post(API_URL, headers=headers, json=payload).content | |
image = Image.open(io.BytesIO(image_bytes)) | |
return image | |
gr.Interface( | |
fn=generate_txt2img, | |
inputs=[ | |
gr.inputs.Dropdown(label="Current Model", choices=list_models, default=list_models[1]), | |
gr.inputs.Textbox(label="Prompt", placeholder="a cute dog", lines=1), | |
gr.inputs.Checkbox(label="Negative Prompt"), | |
gr.inputs.Dropdown(label="Style", choices=["None style", "Cinematic", "Digital Art", "Portrait"], default="None style"), | |
gr.inputs.Number(label="Steps", default=50), | |
gr.inputs.Number(label="Cfg Scale", default=7), | |
gr.inputs.Number(label="Seed (Optional)"), | |
], | |
outputs=gr.outputs.Image(type="pil", label="Output Image"), | |
title="AI Diffusion", | |
css=""" | |
/* Add your custom CSS styles here */ | |
""", | |
).launch() | |