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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) | |
| model_id = "microsoft/Phi-3-medium-128k-instruct" | |
| upsampler = AutoModelForCausalLM.from_pretrained( | |
| model_id, | |
| device_map=device, | |
| torch_dtype=torch.bfloat16, | |
| trust_remote_code=True, | |
| ) | |
| tokenizer = AutoTokenizer.from_pretrained(model_id) | |
| MAX_SEED = np.iinfo(np.int32).max | |
| MAX_IMAGE_SIZE = 1344 | |
| if(0): | |
| print("start inference...") | |
| if randomize_seed: | |
| seed = random.randint(0, MAX_SEED) | |
| generator = torch.Generator().manual_seed(seed) | |
| messages = [ | |
| {"role": "user", "content": "クールなアニメ風の少女"}, | |
| {"role": "assistant", "content": "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."}, | |
| {"role": "user", "content": "美味しそうな肉"}, | |
| {"role": "assistant", "content": "A gourmet scene in a high-end restaurant kitchen where a chef is presenting a plate of cooked beef testicles, garnished elegantly with herbs and spices. The chef, a middle-aged Caucasian man wearing a white chef's hat and coat, is inspecting the dish with a satisfied expression. The kitchen background is bustling with other chefs and kitchen staff, and the atmosphere is warm and inviting with hanging pots and pans, and a glowing, busy stove in the background. The focus is on the chef's proud presentation of this unusual but delicately prepared dish."}, | |
| {"role": "user", "content": prompt}, | |
| ] | |
| tokenized_input = tokenizer.apply_chat_templete(messages, add_generation_prompt=True, return_tensors="pt") | |
| with torch.inference_mode(): | |
| output = upsampler.generate( | |
| tokenized_input.to(upsampler.device), | |
| max_new_tokens=512, | |
| do_sample=True, | |
| top_p=0.95, | |
| temperature=0.7, | |
| repetition_penalty=1.05, | |
| )[0] | |
| print(tokenizer.decode(output)) | |
| upsampled_prompt=tokenizer.decode(output) | |
| 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) | |
| 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""" | |
| # 日本語が入力できる [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() |