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| from diffusers import StableDiffusionXLPipeline, AutoencoderKL, DPMSolverMultistepScheduler | |
| import random | |
| import torch | |
| import numpy as np | |
| import gradio as gr | |
| import spaces | |
| vae = AutoencoderKL.from_pretrained("madebyollin/sdxl-vae-fp16-fix", torch_dtype=torch.float16) | |
| pipe = StableDiffusionXLPipeline.from_pretrained( | |
| "stabilityai/stable-diffusion-xl-base-1.0", | |
| torch_dtype=torch.float16, variant="fp16", use_safetensors=True, | |
| vae=vae, | |
| ).to("cuda") | |
| pipe.scheduler = DPMSolverMultistepScheduler.from_config(pipe.scheduler.config) | |
| MAX_SEED = np.iinfo(np.int32).max | |
| def run(prompt="a photo of an astronaut riding a horse on mars", steps=10, seed=20, negative_prompt="", randomize_seed=False): | |
| if randomize_seed: | |
| seed = random.randint(0, MAX_SEED) | |
| sampling_schedule = [999, 845, 730, 587, 443, 310, 193, 116, 53, 13, 0] | |
| torch.manual_seed(seed) | |
| ays_images = pipe( | |
| prompt, | |
| negative_prompt=negative_prompt, | |
| num_images_per_prompt=1, | |
| timesteps=sampling_schedule, | |
| ).images | |
| return ays_images[0], 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: 520px; | |
| } | |
| """ | |
| with gr.Blocks(css=css) as demo: | |
| with gr.Column(elem_id="col-container"): | |
| gr.Markdown(f""" | |
| # Align-your-steps | |
| Unnoficial demo for the official diffusers implementation of [Align your Steps](https://research.nvidia.com/labs/toronto-ai/AlignYourSteps/) by NVIDIA | |
| """) | |
| 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", | |
| visible=False, | |
| ) | |
| seed = gr.Slider( | |
| label="Seed", | |
| minimum=0, | |
| maximum=MAX_SEED, | |
| step=1, | |
| value=0, | |
| ) | |
| randomize_seed = gr.Checkbox(label="Randomize seed", value=True) | |
| num_inference_steps = gr.Slider( | |
| label="Number of inference steps", | |
| minimum=4, | |
| maximum=12, | |
| step=1, | |
| value=8, | |
| ) | |
| run_button.click( | |
| fn = run, | |
| inputs = [prompt, num_inference_steps, seed, negative_prompt, randomize_seed], | |
| outputs = [result] | |
| ) | |
| demo.launch() |