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import gradio as gr | |
import requests | |
import json | |
import io | |
import random | |
import os | |
from PIL import Image | |
API_BASE_URL = "https://api-inference.huggingface.co/models/" | |
MODEL_LIST = [ | |
"runwayml/stable-diffusion-v1-5", | |
"CompVis/stable-diffusion-v1-4", | |
"stabilityai/stable-diffusion-xl-base-1.0", | |
"stabilityai/stable-diffusion-2", | |
"openskyml/dalle-3-xl", | |
"Linaqruf/animagine-xl-2.0", | |
"Lykon/dreamshaper-7", | |
"Linaqruf/animagine-xl", | |
"prompthero/openjourney", | |
"prompthero/openjourney-v4", | |
"nerijs/pixel-art-xl", | |
"Linaqruf/anything-v3.0", | |
"playgroundai/playground-v2-1024px-aesthetic", | |
"ilovecutiee/fantastical-art-lora", | |
"segmind/SSD-1B", | |
"segmind/Segmind-Vega", | |
"WarriorMama777/OrangeMixs", | |
"stablediffusionapi/anything-v5", | |
"stablediffusionapi/realistic-vision-v51", | |
"hakurei/waifu-diffusion", | |
"digiplay/RunDiffusionFXPhotorealistic_v1", | |
"stablediffusionapi/juggernaut-xl-v5", | |
"dataautogpt3/OpenDalleV1.1" | |
] | |
API_TOKEN = os.getenv("HF_READ_TOKEN") # Make sure to set your Hugging Face token | |
HEADERS = {"Authorization": f"Bearer {API_TOKEN}"} | |
def select_model(model_name): | |
if model_name in MODEL_LIST: | |
return f"{API_BASE_URL}{model_name}" | |
def generate_image(prompt, selected_model, is_negative=False, steps=1, cfg_scale=6, seed=None): | |
if not prompt.strip(): | |
raise gr.Error("Error generating image: Input text is empty!") | |
model_url = select_model(selected_model) | |
API_URL = f"{model_url}" | |
payload = { | |
"inputs": prompt, | |
"is_negative": is_negative, | |
"steps": steps, | |
"cfg_scale": cfg_scale, | |
"seed": seed if seed is not None else random.randint(-1, 2147483647) | |
} | |
try: | |
response = requests.post(API_URL, headers=HEADERS, json=payload) | |
response.raise_for_status() | |
image_bytes = io.BytesIO(response.content) | |
image = Image.open(image_bytes) | |
return image | |
except requests.exceptions.RequestException as e: | |
raise gr.Error("The service/model is unavailable. Please try again later, or select another model.") | |
with gr.Blocks(theme="miittnnss/green", title="Play with Stable Diffusion Models") as playground: | |
gr.HTML( | |
""" | |
<div style="text-align: center; margin: 0 auto;"> | |
<div style="display: inline-flex; align-items: center; gap: 0.8rem; font-size: 1.75rem;"> | |
<h1 style="font-weight: 900; margin-bottom: 7px; margin-top: 5px;">🎨🤖 Play with SD Models</h1> | |
</div> | |
<p style="margin-bottom: 10px; font-size: 94%; line-height: 23px;"> | |
Explore and create your AI art with Stable Diffusion models! | |
</p> | |
</div> | |
""" | |
) | |
with gr.Row(): | |
image_output = gr.Image(type="pil", label="Output Image", elem_id="gallery") | |
with gr.Column(elem_id="prompt-container"): | |
text_prompt = gr.Textbox(label="Prompt", placeholder="a cute cat", lines=1, elem_id="prompt-text-input") | |
model_dropdown = gr.Dropdown(label="Model", choices=MODEL_LIST, elem_id="model-dropdown", value="runwayml/stable-diffusion-v1-5") | |
gen_button = gr.Button("Generate", variant='primary', elem_id="gen-button") | |
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") | |
gen_button.click(generate_image, inputs=[text_prompt, model_dropdown, negative_prompt], outputs=image_output) | |
playground.launch(show_api=False) |