Spaces:
Running
Running
import gradio as gr | |
import requests | |
import random | |
import os | |
from io import BytesIO | |
from PIL import Image | |
import numpy as np | |
MAX_SEED = np.iinfo(np.int32).max | |
MAX_IMAGE_SIZE = 1344 | |
class APIClient: | |
def __init__(self, api_key=os.getenv("API_KEY"), base_url="inference.prodia.com"): | |
self.headers = { | |
"Content-Type": "application/json", | |
"Accept": "image/jpeg", | |
"Authorization": f"Bearer {api_key}" | |
} | |
self.base_url = f"https://{base_url}" | |
def _post(self, url, json=None): | |
r = requests.post(url, headers=self.headers, json=json) | |
r.raise_for_status() | |
return Image.open(BytesIO(r.content)).convert("RGBA") | |
def job(self, config): | |
body = {"type": "v2.job.sd3.txt2img", "config": config} | |
return self._post(f"{self.base_url}/v2/job", json=body) | |
def infer(prompt, negative_prompt, seed, randomize_seed, width, height, guidance_scale, num_inference_steps): | |
if randomize_seed: | |
seed = random.randint(0, MAX_SEED) | |
image = generative_api.job( | |
{ | |
"prompt": prompt, | |
"negative_prompt": negative_prompt, | |
"width": width, | |
"height": height, | |
"guidance_scale": guidance_scale, | |
"steps": num_inference_steps, | |
# "refiner": True | |
"seed": seed | |
} | |
) | |
return image, seed | |
generative_api = APIClient() | |
examples = [ | |
"Astronaut in a jungle, cold color palette, muted colors, detailed, 8k", | |
"An astronaut riding a green horse", | |
"A delicious ceviche cheesecake slice", | |
] | |
css = """ | |
#col-container { | |
margin: 0 auto; | |
max-width: 580px; | |
} | |
""" | |
with gr.Blocks(css=css) as demo: | |
with gr.Column(elem_id="col-container"): | |
gr.Markdown(f""" | |
# Demo [Stable Diffusion 3 - Medium](https://huggingface.co/stabilityai/stable-diffusion-3-medium) | |
Learn more about [Stable Diffusion 3](https://stability.ai/news/stable-diffusion-3). Powered by [Prodia API](https://prodia.com). | |
""") | |
with gr.Row(): | |
prompt = gr.Text( | |
label="Prompt", | |
show_label=False, | |
max_lines=1, | |
placeholder="Enter your prompt", | |
container=False, | |
) | |
run_button = gr.Button("Run", scale=0) | |
result = gr.Image(label="Result", show_label=False) | |
with gr.Accordion("Advanced Settings", open=False): | |
negative_prompt = gr.Text( | |
label="Negative prompt", | |
max_lines=1, | |
placeholder="Enter a negative prompt", | |
) | |
seed = gr.Slider( | |
label="Seed", | |
minimum=0, | |
maximum=MAX_SEED, | |
step=1, | |
value=0, | |
) | |
randomize_seed = gr.Checkbox(label="Randomize seed", value=True) | |
with gr.Row(): | |
width = gr.Slider( | |
label="Width", | |
minimum=256, | |
maximum=MAX_IMAGE_SIZE, | |
step=64, | |
value=1024, | |
) | |
height = gr.Slider( | |
label="Height", | |
minimum=256, | |
maximum=MAX_IMAGE_SIZE, | |
step=64, | |
value=1024, | |
) | |
with gr.Row(): | |
guidance_scale = gr.Slider( | |
label="Guidance scale", | |
minimum=0.0, | |
maximum=10.0, | |
step=0.1, | |
value=5.0, | |
) | |
num_inference_steps = gr.Slider( | |
label="Number of inference steps", | |
minimum=1, | |
maximum=50, | |
step=1, | |
value=28, | |
) | |
gr.Examples( | |
examples=examples, | |
inputs=[prompt] | |
) | |
gr.on( | |
triggers=[run_button.click, prompt.submit, negative_prompt.submit], | |
fn=infer, | |
inputs=[prompt, negative_prompt, seed, randomize_seed, width, height, guidance_scale, num_inference_steps], | |
outputs=[result, seed] | |
) | |
demo.launch() |