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| import gradio as gr | |
| import requests | |
| import json | |
| import io | |
| import random | |
| import os | |
| import torch | |
| from transformers import pipeline | |
| from PIL import Image | |
| API_BASE_URL = "https://api-inference.huggingface.co/models/" | |
| MODEL_LIST = [ | |
| "openskyml/dalle-3-xl", | |
| "Linaqruf/animagine-xl-2.0", | |
| "Lykon/dreamshaper-7", | |
| "Linaqruf/animagine-xl", | |
| "runwayml/stable-diffusion-v1-5", | |
| "stabilityai/stable-diffusion-xl-base-1.0", | |
| "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", | |
| "stablediffusionapi/anything-v5", | |
| "stablediffusionapi/realistic-vision-v51", | |
| "hakurei/waifu-diffusion" | |
| ] | |
| API_TOKEN = os.getenv("HF_READ_TOKEN") # Make sure to set your Hugging Face token | |
| HEADERS = {"Authorization": f"Bearer {API_TOKEN}"} | |
| pipe = pipeline("text-generation", model="isek-ai/SDPrompt-RetNet-300M", trust_remote_code=True) | |
| def select_model(model_name): | |
| if model_name in MODEL_LIST: | |
| return f"{API_BASE_URL}{model_name}" | |
| def extend_prompt(input_text): | |
| if not input_text.strip(): | |
| gr.Warning("Input text is empty!") | |
| return None | |
| seed = random.randint(1, 1000000) | |
| torch.manual_seed(seed) | |
| output = pipe(input_text, max_length=(len(input_text) + random.randint(60, 90)), num_return_sequences=4) | |
| return output | |
| def generate_image(prompt, selected_model, is_negative=False, steps=1, cfg_scale=6, seed=None): | |
| if not prompt.strip(): | |
| raise gr.Error("Cannot generate 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(e) | |
| with gr.Blocks(theme="soft") 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") | |
| extend_button = gr.Button("Extend Prompt", variant='primary', elem_id="extend-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) | |
| extend_button.click(extend_prompt, inputs=text_prompt, outputs=text_prompt) | |
| playground.launch(show_api=False) |