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| # This space used model: stabilityai/stable-diffusion-xl-base-1.0 | |
| # and model: stabilityai/stable-diffusion-xl-refiner-1.0 | |
| import numpy as np | |
| import gradio as gr | |
| import requests | |
| import time | |
| import json | |
| import base64 | |
| import os | |
| from PIL import Image | |
| from io import BytesIO | |
| batch_size=1 | |
| batch_count=1 | |
| class Prodia: | |
| def __init__(self, api_key, base=None): | |
| self.base = base or "https://api.prodia.com/v1" | |
| self.headers = { | |
| "X-Prodia-Key": api_key | |
| } | |
| def generate(self, params): | |
| response = self._post(f"{self.base}/sdxl/generate", params) | |
| return response.json() | |
| def get_job(self, job_id): | |
| response = self._get(f"{self.base}/job/{job_id}") | |
| return response.json() | |
| def wait(self, job): | |
| job_result = job | |
| while job_result['status'] not in ['succeeded', 'failed']: | |
| time.sleep(0.25) | |
| job_result = self.get_job(job['job']) | |
| return job_result | |
| def list_models(self): | |
| response = self._get(f"{self.base}/sdxl/models") | |
| return response.json() | |
| def list_samplers(self): | |
| response = self._get(f"{self.base}/sdxl/samplers") | |
| return response.json() | |
| def _post(self, url, params): | |
| headers = { | |
| **self.headers, | |
| "Content-Type": "application/json" | |
| } | |
| response = requests.post(url, headers=headers, data=json.dumps(params)) | |
| if response.status_code != 200: | |
| raise Exception(f"Bad Prodia Response: {response.status_code}") | |
| return response | |
| def _get(self, url): | |
| response = requests.get(url, headers=self.headers) | |
| if response.status_code != 200: | |
| raise Exception(f"Bad Prodia Response: {response.status_code}") | |
| return response | |
| def image_to_base64(image_path): | |
| # Open the image with PIL | |
| with Image.open(image_path) as image: | |
| # Convert the image to bytes | |
| buffered = BytesIO() | |
| image.save(buffered, format="PNG") # You can change format to PNG if needed | |
| # Encode the bytes to base64 | |
| img_str = base64.b64encode(buffered.getvalue()) | |
| return img_str.decode('utf-8') # Convert bytes to string | |
| prodia_client = Prodia(api_key=os.getenv("API_KEY")) | |
| def flip_text(prompt, negative_prompt, steps, cfg_scale, width, height, seed): | |
| result = prodia_client.generate({ | |
| "prompt": prompt, | |
| "negative_prompt": negative_prompt, | |
| "model": "sd_xl_base_1.0.safetensors [be9edd61]", | |
| "steps": steps, | |
| "sampler": "DPM++ 2M Karras", | |
| "cfg_scale": cfg_scale, | |
| "width": width, | |
| "height": height, | |
| "seed": seed | |
| }) | |
| job = prodia_client.wait(result) | |
| return job["imageUrl"] | |
| css = """ | |
| #prompt-container .form{ | |
| border-top-right-radius: 0; | |
| border-bottom-right-radius: 0; | |
| } | |
| #prompt-text-input, #negative-prompt-text-input{padding: .45rem 0.625rem} | |
| #component-16{border-top-width: 1px!important;margin-top: 1em} | |
| .image_duplication{position: absolute; width: 100px; left: 50px} | |
| .tabitem{border: 0 !important}.style(mobile_collapse=False, equal_height=True).style(mobile_collapse=False, equal_height=True).style(mobile_collapse=False, equal_height=True).style(mobile_collapse=False, equal_height=True | |
| #gen-button{ | |
| border-top-left-radius:0; | |
| border-bottom-left-radius:0; | |
| } | |
| #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; | |
| } | |
| #gallery>div>.h-full { | |
| min-height: 20rem; | |
| } | |
| """ | |
| with gr.Blocks(css=css) as demo: | |
| 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; | |
| " | |
| > | |
| <svg | |
| width="0.65em" | |
| height="0.65em" | |
| viewBox="0 0 115 115" | |
| fill="none" | |
| xmlns="http://www.w3.org/2000/svg" | |
| > | |
| <rect width="23" height="23" fill="white"></rect> | |
| <rect y="69" width="23" height="23" fill="white"></rect> | |
| <rect x="23" width="23" height="23" fill="#AEAEAE"></rect> | |
| <rect x="23" y="69" width="23" height="23" fill="#AEAEAE"></rect> | |
| <rect x="69" width="23" height="23" fill="black"></rect> | |
| <rect x="69" y="69" width="23" height="23" fill="black"></rect> | |
| <rect x="92" width="23" height="23" fill="#D9D9D9"></rect> | |
| <rect x="92" y="69" width="23" height="23" fill="#AEAEAE"></rect> | |
| <rect x="115" y="46" width="23" height="23" fill="white"></rect> | |
| <rect x="115" y="115" width="23" height="23" fill="white"></rect> | |
| <rect x="115" y="69" width="23" height="23" fill="#D9D9D9"></rect> | |
| <rect x="92" y="46" width="23" height="23" fill="#AEAEAE"></rect> | |
| <rect x="92" y="115" width="23" height="23" fill="#AEAEAE"></rect> | |
| <rect x="92" y="69" width="23" height="23" fill="white"></rect> | |
| <rect x="69" y="46" width="23" height="23" fill="white"></rect> | |
| <rect x="69" y="115" width="23" height="23" fill="white"></rect> | |
| <rect x="69" y="69" width="23" height="23" fill="#D9D9D9"></rect> | |
| <rect x="46" y="46" width="23" height="23" fill="black"></rect> | |
| <rect x="46" y="115" width="23" height="23" fill="black"></rect> | |
| <rect x="46" y="69" width="23" height="23" fill="black"></rect> | |
| <rect x="23" y="46" width="23" height="23" fill="#D9D9D9"></rect> | |
| <rect x="23" y="115" width="23" height="23" fill="#AEAEAE"></rect> | |
| <rect x="23" y="69" width="23" height="23" fill="black"></rect> | |
| </svg> | |
| <h1 style="font-weight: 900; margin-bottom: 7px;margin-top:5px"> | |
| Fast SDXL | |
| </h1> | |
| </div> | |
| </div> | |
| """) | |
| with gr.Row(elem_id="prompt-container").style(mobile_collapse=False, equal_height=True): | |
| prompt = gr.Textbox(label="Prompt", placeholder="a cute cat, 8k", show_label=True, lines=1, elem_id="prompt-text-input") | |
| text_button = gr.Button("Generate", variant='primary', elem_id="gen-button") | |
| with gr.Row(): | |
| with gr.Column(scale=1): | |
| image_output = gr.Image(elem_id="gallery") | |
| with gr.Row(): | |
| with gr.Accordion("Additionals inputs", open=False): | |
| with gr.Column(scale=1): | |
| negative_prompt = gr.Textbox(label="Negative Prompt", value="text, blurry", placeholder="What you don't want to see in the image", show_label=True, lines=1, elem_id="negative-prompt-text-input") | |
| with gr.Column(scale=1): | |
| steps = gr.Slider(label="Sampling Steps", minimum=1, maximum=30, value=25, step=1) | |
| cfg_scale = gr.Slider(label="CFG Scale", minimum=1, maximum=20, value=7, step=1) | |
| seed = gr.Number(label="Seed", value=-1) | |
| with gr.Column(scale=1): | |
| width = gr.Slider(label="↔️ Width", minimum=1024, maximum=1024, value=1024, step=8) | |
| height = gr.Slider(label="↕️ Height", minimum=1024, maximum=1024, value=1024, step=8) | |
| text_button.click(flip_text, inputs=[prompt, negative_prompt, steps, cfg_scale, width, height, seed], outputs=image_output) | |
| demo.queue(concurrency_count=16, max_size=20, api_open=False).launch(max_threads=64) | |