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import gradio as gr |
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import requests |
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from PIL import Image |
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from io import BytesIO |
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import base64 |
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api_url = "https://5cb20b40-572c-426f-9466-995256f9b6eb.id.repl.co/generate_image" |
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def generate_image(model, prompt, seed, negative_prompt, sampler, steps): |
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data = "?model=" + model + "&prompt=" + prompt + "&seed=" + str(seed) + "&negative_prompt=" + negative_prompt + "&sampler=" + sampler + "&steps=" + str(steps) |
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response = requests.post(api_url + data, timeout=400) |
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if response.status_code == 200: |
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img_base64 = response.json()["url"] |
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img_bytes = base64.b64decode(img_base64) |
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img = Image.open(BytesIO(img_bytes)) |
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return img |
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else: |
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return None |
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dropdown_model = gr.inputs.Dropdown(['Seek.art MEGA', 'Deliberate', 'Dreamlike Photoreal', 'Realistic Vision'], label="Model", default="Seek.art MEGA") |
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textbox_prompt = gr.inputs.Textbox(label="Prompt") |
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number_seed = gr.inputs.Number(label="Seed", default=0) |
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textbox_negative_prompt = gr.inputs.Textbox(label="Negative Prompt", default="") |
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dropdown_sampler = gr.inputs.Dropdown(["k_lms", "k_heun", "k_euler", "k_euler_a", "k_dpm_2", "k_dpm_2_a", "DDIM", "k_dpm_fast", "k_dpm_adaptive", "k_dpmpp_2m", "k_dpmpp_2s_a", "k_dpmpp_sde"], label="Sampler", default="k_dpmpp_2s_a") |
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number_steps = gr.inputs.Number(label="Steps", default=50) |
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inputs = [dropdown_model, textbox_prompt, number_seed, textbox_negative_prompt, dropdown_sampler, number_steps] |
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outputs = gr.outputs.Image(label="Generated Image", type="pil") |
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interface = gr.Interface( |
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fn=generate_image, |
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inputs=inputs, |
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outputs=outputs, |
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title="Image Generator", |
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description="Select options and enter a prompt to generate an image.", |
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examples=[], |
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layout="vertical", |
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theme="ParityError/Interstellar" |
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) |
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interface.launch() |
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