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import gradio as gr | |
import requests | |
import io | |
import random | |
import os | |
from PIL import Image | |
from huggingface_hub import InferenceApi, InferenceClient | |
from datasets import load_dataset | |
dataset = load_dataset("Gustavosta/Stable-Diffusion-Prompts") | |
prompt_df = dataset["train"].to_pandas() | |
def get_samples(): | |
prompt_list = prompt_df.sample(n = 10)["Prompt"].map(lambda x: x).values.tolist() | |
return prompt_list | |
def get_params(request: gr.Request): | |
params = request.query_params | |
ip = request.client.host | |
req = {"params": params, | |
"ip": ip} | |
client = InferenceClient() | |
models = client.list_deployed_models() | |
list_models = models["text-to-image"] | |
return list_models, get_samples() | |
client = InferenceClient() | |
models = client.list_deployed_models() | |
list_models = models["text-to-image"] | |
list_prompts = get_samples() | |
''' | |
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 type(current_model) != type(""): | |
current_model = "stabilityai/stable-diffusion-2-1" | |
api = InferenceApi(current_model) | |
api.headers = headers | |
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 = api(data = payload) | |
return image | |
''' | |
image = Image.open(io.BytesIO(image_bytes)) | |
return image | |
''' | |
css = """ | |
/* General Container Styles */ | |
.gradio-container { | |
font-family: 'IBM Plex Sans', sans-serif; | |
max-width: 730px !important; | |
margin: auto; | |
padding-top: 1.5rem; | |
} | |
/* Button Styles */ | |
.gr-button { | |
color: white; | |
border-color: black; | |
background: black; | |
white-space: nowrap; | |
} | |
.gr-button:focus { | |
border-color: rgb(147 197 253 / var(--tw-border-opacity)); | |
outline: none; | |
box-shadow: var(--tw-ring-offset-shadow), var(--tw-ring-shadow), var(--tw-shadow, 0 0 #0000); | |
--tw-border-opacity: 1; | |
--tw-ring-offset-shadow: var(--tw-ring-inset) 0 0 0 var(--tw-ring-offset-width) var(--tw-ring-offset-color); | |
--tw-ring-shadow: var(--tw-ring-inset) 0 0 0 calc(3px var(--tw-ring-offset-width)) var(--tw-ring-color); | |
--tw-ring-color: rgb(191 219 254 / var(--tw-ring-opacity)); | |
--tw-ring-opacity: .5; | |
} | |
/* Footer Styles */ | |
.footer, .dark .footer { | |
margin-bottom: 45px; | |
margin-top: 35px; | |
text-align: center; | |
border-bottom: 1px solid #e5e5e5; | |
} | |
.footer > p, .dark .footer > p { | |
font-size: .8rem; | |
display: inline-block; | |
padding: 0 10px; | |
transform: translateY(10px); | |
background: white; | |
} | |
.dark .footer { | |
border-color: #303030; | |
} | |
.dark .footer > p { | |
background: #0b0f19; | |
} | |
/* Share Button Styles */ | |
#share-btn-container { | |
padding: 0 0.5rem !important; | |
background-color: #000000; | |
justify-content: center; | |
align-items: center; | |
border-radius: 9999px !important; | |
max-width: 13rem; | |
margin-left: auto; | |
} | |
#share-btn-container:hover { | |
background-color: #060606; | |
} | |
#share-btn { | |
all: initial; | |
color: #ffffff; | |
font-weight: 600; | |
cursor: pointer; | |
font-family: 'IBM Plex Sans', sans-serif; | |
margin-left: 0.5rem !important; | |
padding: 0.5rem !important; | |
right: 0; | |
} | |
/* Animation Styles */ | |
.animate-spin { | |
animation: spin 1s linear infinite; | |
} | |
@keyframes spin { | |
from { transform: rotate(0deg); } | |
to { transform: rotate(360deg); } | |
} | |
/* Other Styles */ | |
#gallery { | |
min-height: 22rem; | |
margin-bottom: 15px; | |
margin-left: auto; | |
margin-right: auto; | |
border-bottom-right-radius: .5rem !important; | |
border-bottom-left-radius: .5rem !important; | |
} | |
""" | |
with gr.Blocks(css=css) as demo: | |
#with gr.Blocks() as demo: | |
favicon = '<img src="" width="48px" style="display: inline">' | |
gr.Markdown( | |
f"""<h1><center>🐦 {favicon} AII Diffusion</center></h1> | |
""" | |
) | |
with gr.Row(elem_id="prompt-container"): | |
with gr.Column(): | |
btn_refresh = gr.Button(value="Click Refresh to get current deployed models") | |
btn_refresh.click(None, js="window.location.reload()") | |
current_model = gr.Dropdown(label="Current Model", choices=list_models, value="stabilityai/stable-diffusion-2-1") | |
with gr.Row("prompt-container"): | |
text_prompt = gr.Textbox(label="Prompt", placeholder="a cute dog", | |
value = "1girl, aqua eyes, baseball cap, blonde hair, closed mouth, earrings, green background, hat, hoop earrings, jewelry, looking at viewer, shirt, short hair, simple background, solo, upper body, yellow shirt", | |
lines=2, elem_id="prompt-text-input") | |
text_button = gr.Button("Manualy input Generate", variant='primary', elem_id="gen-button") | |
with gr.Row("prompt-container"): | |
select_prompt = gr.Dropdown(label="prompt selected", choices=list_prompts, value=list_prompts[1]) | |
select_button = gr.Button("Select Prompt Generate", variant='primary', elem_id="gen-button") | |
with gr.Row(): | |
image_output = gr.Image(type="pil", label="Output Image", elem_id="gallery") | |
with gr.Accordion("Advanced settings", open=False): | |
negative_prompt = gr.Textbox(label="Negative Prompt", value="text, blurry, fuzziness", lines=1, elem_id="negative-prompt-text-input") | |
image_style = gr.Dropdown(label="Style", choices=["None style", "Cinematic", "Digital Art", "Portrait"], value="Portrait", allow_custom_value=False) | |
''' | |
with gr.Row(): | |
with gr.Column(): | |
exps = gr.Examples( | |
get_samples(), | |
inputs = text_prompt, | |
label = "Prompt Examples", | |
elem_id = "Examples" | |
) | |
''' | |
text_button.click(generate_txt2img, inputs=[current_model, text_prompt, negative_prompt, image_style], outputs=image_output) | |
select_button.click(generate_txt2img, inputs=[current_model, select_prompt, negative_prompt, image_style], outputs=image_output) | |
demo.load(get_params, None, [current_model, select_prompt]) | |
demo.launch(show_api=False) |