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# Thanks: https://huggingface.co/spaces/markmagic/Stable-Diffusion-3/blob/main/app.py | |
import os | |
import random | |
import uuid | |
import gradio as gr | |
import numpy as np | |
from PIL import Image | |
import spaces | |
import torch | |
from diffusers import StableDiffusion3Pipeline, DPMSolverMultistepScheduler, AutoencoderKL | |
huggingface_token = os.getenv("TOKEN") | |
DESCRIPTION = """# Stable Diffusion 3 with Japanese""" | |
pipe = StableDiffusion3Pipeline.from_pretrained("stabilityai/stable-diffusion-3-medium-diffusers", torch_dtype=torch.float16) | |
pipe = pipe.to("cuda") | |
def generate( | |
prompt: str, | |
negative_prompt: str = "", | |
use_negative_prompt: bool = False, | |
seed: int = 0, | |
width: int = 1024, | |
height: int = 1024, | |
guidance_scale: float = 7, | |
randomize_seed: bool = False, | |
num_inference_steps=30, | |
use_resolution_binning: bool = True, | |
progress=gr.Progress(track_tqdm=True), | |
): | |
pipe.to(device) | |
seed = int(randomize_seed_fn(seed, randomize_seed)) | |
generator = torch.Generator().manual_seed(seed) | |
#pipe.scheduler = DPMSolverMultistepScheduler.from_config(pipe.scheduler.config) | |
if not use_negative_prompt: | |
negative_prompt = None # type: ignore | |
output = pipe( | |
prompt=prompt, | |
negative_prompt=negative_prompt, | |
width=width, | |
height=height, | |
guidance_scale=guidance_scale, | |
num_inference_steps=num_inference_steps, | |
generator=generator, | |
output_type="pil", | |
).images | |
return output | |
examples = [ | |
"A red sofa on top of a white building.", | |
"A cardboard which is large and sits on a theater stage.", | |
"A painting of an astronaut riding a pig wearing a tutu holding a pink umbrella.", | |
"Studio photograph closeup of a chameleon over a black background.", | |
"Closeup portrait photo of beautiful goth woman, makeup.", | |
"A living room, bright modern Scandinavian style house, large windows.", | |
"Portrait photograph of an anthropomorphic tortoise seated on a New York City subway train.", | |
"Batman, cute modern Disney style, Pixar 3d portrait, ultra detailed, gorgeous, 3d zbrush, trending on dribbble, 8k render.", | |
"Cinnamon bun on the plate, watercolor painting, detailed, brush strokes, light palette, light, cozy.", | |
"A lion, colorful, low-poly, cyan and orange eyes, poly-hd, 3d, low-poly game art, polygon mesh, jagged, blocky, wireframe edges, centered composition.", | |
"Long exposure photo of Tokyo street, blurred motion, streaks of light, surreal, dreamy, ghosting effect, highly detailed.", | |
"A glamorous digital magazine photoshoot, a fashionable model wearing avant-garde clothing, set in a futuristic cyberpunk roof-top environment, with a neon-lit city background, intricate high fashion details, backlit by vibrant city glow, Vogue fashion photography.", | |
"Masterpiece, best quality, girl, collarbone, wavy hair, looking at viewer, blurry foreground, upper body, necklace, contemporary, plain pants, intricate, print, pattern, ponytail, freckles, red hair, dappled sunlight, smile, happy." | |
] | |
css = ''' | |
.gradio-container{max-width: 1000px !important} | |
h1{text-align:center} | |
''' | |
with gr.Blocks(css=css) as demo: | |
with gr.Row(): | |
with gr.Column(): | |
gr.HTML( | |
""" | |
<h1 style='text-align: center'> | |
Stable Diffusion 3 Medium with Japanese | |
</h1> | |
""" | |
) | |
gr.HTML( | |
""" | |
""" | |
) | |
with gr.Group(): | |
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.Gallery(label="Result", elem_id="gallery", show_label=False) | |
with gr.Accordion("Advanced options", open=False): | |
with gr.Row(): | |
use_negative_prompt = gr.Checkbox(label="Use negative prompt", value=True) | |
negative_prompt = gr.Text( | |
label="Negative prompt", | |
max_lines=1, | |
value = "deformed, distorted, disfigured, poorly drawn, bad anatomy, wrong anatomy, extra limb, missing limb, floating limbs, mutated hands and fingers, disconnected limbs, mutation, mutated, ugly, disgusting, blurry, amputation, NSFW", | |
visible=True, | |
) | |
seed = gr.Slider( | |
label="Seed", | |
minimum=0, | |
maximum=MAX_SEED, | |
step=1, | |
value=0, | |
) | |
steps = gr.Slider( | |
label="Steps", | |
minimum=0, | |
maximum=60, | |
step=1, | |
value=30, | |
) | |
randomize_seed = gr.Checkbox(label="Randomize seed", value=True) | |
with gr.Row(): | |
guidance_scale = gr.Slider( | |
label="Guidance Scale", | |
minimum=0.1, | |
maximum=10, | |
step=0.1, | |
value=7.0, | |
) | |
gr.Examples( | |
examples=examples, | |
inputs=prompt, | |
outputs=[result], | |
fn=generate, | |
cache_examples=CACHE_EXAMPLES, | |
) | |
use_negative_prompt.change( | |
fn=lambda x: gr.update(visible=x), | |
inputs=use_negative_prompt, | |
outputs=negative_prompt, | |
api_name=False, | |
) | |
gr.on( | |
triggers=[ | |
prompt.submit, | |
negative_prompt.submit, | |
run_button.click, | |
], | |
fn=generate, | |
inputs=[ | |
prompt, | |
negative_prompt, | |
use_negative_prompt, | |
seed, | |
guidance_scale, | |
randomize_seed, | |
steps, | |
], | |
outputs=[result], | |
api_name="run", | |
) | |
if __name__ == "__main__": | |
demo.queue().launch() |