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# Thanks: https://huggingface.co/spaces/stabilityai/stable-diffusion-3-medium | |
import os | |
import gradio as gr | |
import numpy as np | |
import random | |
import torch | |
from diffusers import StableDiffusion3Pipeline, SD3Transformer2DModel, FlowMatchEulerDiscreteScheduler | |
import spaces | |
from transformers import AutoModelForCausalLM, AutoTokenizer, pipeline | |
device = "cuda" | |
dtype = torch.float16 | |
repo = "stabilityai/stable-diffusion-3-medium" | |
t2i = StableDiffusion3Pipeline.from_pretrained(repo, torch_dtype=torch.float16, revision="refs/pr/26",token=os.environ["TOKEN"]).to(device) | |
MAX_SEED = np.iinfo(np.int32).max | |
MAX_IMAGE_SIZE = 1344 | |
def infer(prompt, negative_prompt, seed, randomize_seed, width, height, guidance_scale, num_inference_steps, progress=gr.Progress(track_tqdm=True)): | |
upsampled_prompt="An anime style illustration of a cool-looking teenage girl with an edgy, confident expression. She has piercing eyes, a slight smirk, and colorful hair that flows in the wind. She wears a trendy punk-inspired outfit with a leather jacket, ripped jeans, and combat boots. The background has an urban nighttime feel with city lights and graffiti to match her rebellious vibe. The colors are vibrant with high contrast to give an impactful look. The overall style captures her undeniable coolness and fearless attitude." | |
print(upsampled_prompt) | |
if randomize_seed: | |
seed = random.randint(0, MAX_SEED) | |
generator = torch.Generator().manual_seed(seed) | |
image = t2i( | |
prompt = upsampled_prompt, | |
negative_prompt = negative_prompt, | |
guidance_scale = guidance_scale, | |
num_inference_steps = num_inference_steps, | |
width = width, | |
height = height, | |
generator = generator | |
).images[0] | |
return image, seed | |
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""" | |
# ζ₯ζ¬θͺγε ₯εγ§γγ [SD3 Medium](https://huggingface.co/stabilityai/stable-diffusion-3-medium) | |
""") | |
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() |