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from diffusers import DiffusionPipeline, StableDiffusionPipeline |
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import torch |
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from gradio.components import Gallery |
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from PIL import Image |
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from IPython.display import display |
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import os |
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from datetime import datetime |
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import gradio as gr |
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def generate_and_display_images(model_selection, scenery, style, height, width, num_images=2, n_steps=50, high_noise_frac=0.5, guidance_scale=2.6, negative_prompt="", seed=None): |
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if seed is None or seed == '': |
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seed = torch.randint(low=0, high=2**32, size=(1,)).item() |
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else: |
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try: |
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seed = int(seed) |
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except ValueError: |
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return "Invalid seed value. Seed must be an integer." |
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torch.manual_seed(seed) |
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if torch.cuda.is_available(): |
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device = "cuda" |
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dtype = torch.float16 |
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else: |
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device = "cpu" |
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dtype = torch.float32 |
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prompt = f"Scenery: {scenery}; Style: {style}" |
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generated_images = [] |
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if model_selection == "dreamlike-art/dreamlike-photoreal-2.0": |
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model = StableDiffusionPipeline.from_pretrained(model_selection, torch_dtype=dtype).to(device) |
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for _ in range(num_images): |
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image = model(prompt=prompt, num_inference_steps=n_steps, guidance_scale=guidance_scale, negative_prompt=negative_prompt, height=height, width=width).images[0] |
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generated_images.append(image) |
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else: |
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base = DiffusionPipeline.from_pretrained(model_selection, torch_dtype=dtype, use_auth_token=True).to(device) |
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for _ in range(num_images): |
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if "refiner" in model_selection: |
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image_latent = base(prompt=prompt, num_inference_steps=n_steps, denoising_end=high_noise_frac, output_type="latent").images |
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image = image_latent[0] |
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else: |
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image = base(prompt=prompt, num_inference_steps=n_steps, guidance_scale=guidance_scale, negative_prompt=negative_prompt, height=height, width=width).images[0] |
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generated_images.append(image) |
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file_paths = [] |
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for i, image in enumerate(generated_images): |
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timestamp = datetime.now().strftime("%Y-%m-%d_%H-%M-%S") |
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filename = f"{seed}_{timestamp}_{i}.jpg" |
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image.save(filename) |
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file_paths.append(filename) |
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return file_paths |
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iface = gr.Interface( |
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fn=generate_and_display_images, |
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inputs=[ |
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gr.components.Dropdown(value="dreamlike-art/dreamlike-photoreal-2.0", choices=["stabilityai/sdxl-turbo", "stabilityai/stable-diffusion-xl-base-1.0", "runwayml/stable-diffusion-v1-5", "dreamlike-art/dreamlike-photoreal-2.0", "Kardbord/stable-diffusion-v1-5-unsafe"], label="Model Selection"), |
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gr.components.Textbox(label="Scenery", placeholder="Describe the scenery you want in the image"), |
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gr.components.Textbox(label="Style", placeholder="Describe the style of the image (e.g., photorealistic, liminal, dark)"), |
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gr.components.Slider(minimum=1, maximum=2048, step=1, value=1024, label="Height"), |
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gr.components.Slider(minimum=1, maximum=2048, step=1, value=576, label="Width"), |
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gr.components.Number(value=1, label="Number of Images"), |
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gr.components.Slider(minimum=0, maximum=60, step=1, value=20, label="Number of Inference Steps"), |
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gr.components.Slider(minimum=0.0, maximum=1.0, step=0.01, value=0.16, label="High Noise Fraction"), |
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gr.components.Slider(minimum=0.0, maximum=10.0, step=0.1, value=8, label="Guidance Scale"), |
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gr.components.Textbox(value="", label="Negative Prompt"), |
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gr.components.Textbox(value=None, label="Seed (Optional)") |
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], |
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outputs=Gallery(label="Generated Images"), |
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examples=[["dreamlike-art/dreamlike-photoreal-2.0", "scenery : melting flesh", "style : (((photorealistic))), liminal, cryptic, cinematic, highly detailed, sharp focus, dark, creepy, weirdcore", 1024, 576, 10, 30, 0.16, 8, "2D || naked || Low Quality || text logos || watermarks || signatures || out of frame || jpeg artifacts || ugly || poorly drawn || extra limbs || extra hands || extra feet || backwards limbs || extra fingers || extra toes || unrealistic, incorrect, bad anatomy || cut off body pieces || strange body positions || impossible body positioning || Mismatched eyes || cross eyed || crooked face || crooked lips || unclear || undefined || mutations || deformities || off center || poor_composition || duplicate faces, blurry, blurred, unclear, deformed anatomy, deformed face, crazy eyes, bad hands, deformed body", None]], |
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title="Image Generation Tool", |
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description="Generate images using various diffusion models." |
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) |
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iface.launch(share=True, debug=True) |
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