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import gradio as gr |
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import requests |
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import json |
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import io |
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import random |
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import os |
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import torch |
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from transformers import pipeline |
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from PIL import Image |
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API_BASE_URL = "https://api-inference.huggingface.co/models/" |
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MODEL_LIST = [ |
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"openskyml/dalle-3-xl", |
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"Linaqruf/animagine-xl-2.0", |
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"Lykon/dreamshaper-7", |
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"Linaqruf/animagine-xl", |
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"runwayml/stable-diffusion-v1-5", |
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"stabilityai/stable-diffusion-xl-base-1.0", |
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"prompthero/openjourney-v4", |
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"nerijs/pixel-art-xl", |
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"Linaqruf/anything-v3.0", |
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"playgroundai/playground-v2-1024px-aesthetic", |
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"ilovecutiee/fantastical-art-lora", |
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"segmind/SSD-1B", |
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"segmind/Segmind-Vega", |
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"stablediffusionapi/anything-v5", |
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"stablediffusionapi/realistic-vision-v51", |
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"hakurei/waifu-diffusion" |
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] |
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API_TOKEN = os.getenv("HF_READ_TOKEN") |
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HEADERS = {"Authorization": f"Bearer {API_TOKEN}"} |
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pipe = pipeline("text-generation", model="isek-ai/SDPrompt-RetNet-300M", trust_remote_code=True) |
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def select_model(model_name): |
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if model_name in MODEL_LIST: |
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return f"{API_BASE_URL}{model_name}" |
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def extend_prompt(input_text): |
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if not input_text.strip(): |
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gr.Warning("Input text is empty!") |
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return None |
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seed = random.randint(1, 1000000) |
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torch.manual_seed(seed) |
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output = pipe(input_text, max_length=(len(input_text) + random.randint(60, 90)), num_return_sequences=4) |
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return output |
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def generate_image(prompt, selected_model, is_negative=False, steps=1, cfg_scale=6, seed=None): |
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if not prompt.strip(): |
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raise gr.Error("Cannot generate image: Input text is empty!") |
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model_url = select_model(selected_model) |
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API_URL = f"{model_url}" |
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payload = { |
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"inputs": prompt, |
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"is_negative": is_negative, |
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"steps": steps, |
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"cfg_scale": cfg_scale, |
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"seed": seed if seed is not None else random.randint(-1, 2147483647) |
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} |
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try: |
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response = requests.post(API_URL, headers=HEADERS, json=payload) |
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response.raise_for_status() |
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image_bytes = io.BytesIO(response.content) |
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image = Image.open(image_bytes) |
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return image |
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except requests.exceptions.RequestException as e: |
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raise gr.Error(e) |
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with gr.Blocks(theme="soft") as playground: |
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gr.HTML( |
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""" |
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<div style="text-align: center; margin: 0 auto;"> |
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<div style="display: inline-flex; align-items: center; gap: 0.8rem; font-size: 1.75rem;"> |
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<h1 style="font-weight: 900; margin-bottom: 7px; margin-top: 5px;">🎨🤖 Play with SD Models</h1> |
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</div> |
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<p style="margin-bottom: 10px; font-size: 94%; line-height: 23px;"> |
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Explore and create your AI art with Stable Diffusion models! |
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</p> |
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</div> |
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""" |
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) |
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with gr.Row(): |
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image_output = gr.Image(type="pil", label="Output Image", elem_id="gallery") |
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with gr.Column(elem_id="prompt-container"): |
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text_prompt = gr.Textbox(label="Prompt", placeholder="a cute cat", lines=1, elem_id="prompt-text-input") |
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model_dropdown = gr.Dropdown(label="Model", choices=MODEL_LIST, elem_id="model-dropdown", value="runwayml/stable-diffusion-v1-5") |
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gen_button = gr.Button("Generate", variant='primary', elem_id="gen-button") |
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extend_button = gr.Button("Extend Prompt", variant='primary', elem_id="extend-button") |
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with gr.Accordion("Advanced settings", open=False): |
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negative_prompt = gr.Textbox(label="Negative Prompt", value="text, blurry, fuzziness", lines=1, elem_id="negative-prompt-text-input") |
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gen_button.click(generate_image, inputs=[text_prompt, model_dropdown, negative_prompt], outputs=image_output) |
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extend_button.click(extend_prompt, inputs=text_prompt, outputs=text_prompt) |
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playground.launch(show_api=False) |
