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Running
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Zero
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import torch
from diffusers import FluxPipeline, StableDiffusion3Pipeline
from PIL import Image
from io import BytesIO
import gradio as gr
# Initialize pipelines
stable_diffusion_pipe = StableDiffusion3Pipeline.from_pretrained(
"stabilityai/stable-diffusion-3.5-large", torch_dtype=torch.bfloat16
).to("cuda")
flux_pipe = FluxPipeline.from_pretrained(
"black-forest-labs/FLUX.1-dev", torch_dtype=torch.bfloat16
).to("cuda")
# Function to generate images with progress
def generate_image_with_progress(pipe, prompt, num_steps, guidance_scale=None, seed=None, progress=gr.Progress()):
generator = None
if seed is not None:
generator = torch.Generator("cpu").manual_seed(seed)
print("Start generating")
# Wrapper to track progress
def callback(step, timestep, latents):
cur_prg = step / num_steps
print(f"Progressing {cur_prg} ")
progress(cur_prg, desc=f"Step {step}/{num_steps}")
if isinstance(pipe, StableDiffusion3Pipeline):
image = pipe(
prompt,
num_inference_steps=num_steps,
guidance_scale=guidance_scale,
callback=callback,
).images[0]
elif isinstance(pipe, FluxPipeline):
image = pipe(
prompt,
num_inference_steps=num_steps,
generator=generator,
output_type="pil",
callback=callback,
).images[0]
return image
# Gradio application
def main():
def tab1_logic(prompt_text):
progress = gr.Progress()
num_steps = 30
seed = 42
print(f"Start tab {prompt_text}")
image = generate_image_with_progress(
flux_pipe, prompt_text, num_steps=num_steps, seed=seed, progress=progress
)
return f"Seed: {seed}", image
def tab2_logic(prompt_text):
progress = gr.Progress()
num_steps = 28
guidance_scale = 3.5
print(f"Start tab {prompt_text}")
image = generate_image_with_progress(
stable_diffusion_pipe, prompt_text, num_steps=num_steps, guidance_scale=guidance_scale, progress=progress
)
return "Seed: None", image
with gr.Blocks() as app:
gr.Markdown("# Multiple Model Image Generation with Progress Bar")
prompt_text = gr.Textbox(label="Enter prompt")
with gr.Tab("FLUX"):
button_1 = gr.Button("Run FLUX")
output_1 = gr.Textbox(label="Status")
img_1 = gr.Image(label="FLUX", height=300)
button_1.click(fn=tab1_logic, inputs=[prompt_text], outputs=[output_1, img_1])
with gr.Tab("StableDiffusion3"):
button_2 = gr.Button("Run StableDiffusion3")
output_2 = gr.Textbox(label="Status")
img_2 = gr.Image(label="StableDiffusion3", height=300)
button_2.click(fn=tab2_logic, inputs=[prompt_text], outputs=[output_2, img_2])
app.launch()
if __name__ == "__main__":
main()
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