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Running
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Zero
# 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 | |
DESCRIPTION = """# 日本語で入力できるStable Diffusion 3""" | |
pipe = StableDiffusion3Pipeline.from_pretrained( | |
"stabilityai/stable-diffusion-3-medium-diffusers", | |
torch_dtype=torch.float16, | |
token=os.getenv("TOKEN") | |
) | |
def generate( | |
prompt: str, | |
negative_prompt: str = "", | |
seed: int = 0, | |
width: int = 1024, | |
height: int = 1024, | |
guidance_scale: float = 7, | |
num_inference_steps=30, | |
progress=gr.Progress(track_tqdm=True), | |
): | |
pipe = pipe.to("cuda") | |
generator = torch.Generator().manual_seed(seed) | |
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.", | |
] | |
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'> | |
日本語で入力できるStable Diffusion 3 Medium | |
</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(): | |
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, | |
) | |
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, | |
) | |
gr.on( | |
triggers=[ | |
prompt.submit, | |
negative_prompt.submit, | |
run_button.click, | |
], | |
fn=generate, | |
inputs=[ | |
prompt, | |
negative_prompt, | |
seed, | |
guidance_scale, | |
steps, | |
], | |
outputs=[result], | |
) | |
if __name__ == "__main__": | |
demo.queue().launch() |