from diffusers import AutoencoderKL, UNet2DConditionModel, StableDiffusionPipeline, StableDiffusionImg2ImgPipeline, DPMSolverMultistepScheduler import gradio as gr import torch from PIL import Image import utils import datetime import time import psutil import random start_time = time.time() is_colab = utils.is_google_colab() state = None current_steps = 25 class Model: def __init__(self, name, path="", prefix=""): self.name = name self.path = path self.prefix = prefix self.pipe_t2i = None self.pipe_i2i = None models = [ Model("Protogen x5.3 (Photorealism)", "darkstorm2150/Protogen_x5.3_Official_Release") ] custom_model = None if is_colab: models.insert(0, Model("Custom model")) custom_model = models[0] last_mode = "txt2img" current_model = models[1] if is_colab else models[0] current_model_path = current_model.path if is_colab: pipe = StableDiffusionPipeline.from_pretrained( current_model.path, torch_dtype=torch.float16, scheduler=DPMSolverMultistepScheduler.from_pretrained(current_model.path, subfolder="scheduler"), safety_checker=lambda images, clip_input: (images, False) ) else: pipe = StableDiffusionPipeline.from_pretrained( current_model.path, torch_dtype=torch.float16, scheduler=DPMSolverMultistepScheduler.from_pretrained(current_model.path, subfolder="scheduler") ) if torch.cuda.is_available(): pipe = pipe.to("cuda") pipe.enable_xformers_memory_efficient_attention() device = "GPU 🔥" if torch.cuda.is_available() else "CPU 🥶" def error_str(error, title="Error"): return f"""#### {title} {error}""" if error else "" def update_state(new_state): global state state = new_state def update_state_info(old_state): if state and state != old_state: return gr.update(value=state) def custom_model_changed(path): models[0].path = path global current_model current_model = models[0] def on_model_change(model_name): prefix = "Enter prompt. \"" + next((m.prefix for m in models if m.name == model_name), None) + "\" is prefixed automatically" if model_name != models[0].name else "Don't forget to use the custom model prefix in the prompt!" return gr.update(visible = model_name == models[0].name), gr.update(placeholder=prefix) def on_steps_change(steps): global current_steps current_steps = steps def pipe_callback(step: int, timestep: int, latents: torch.FloatTensor): update_state(f"{step}/{current_steps} steps")#\nTime left, sec: {timestep/100:.0f}") def inference(model_name, prompt, guidance, steps, n_images=1, width=512, height=512, seed=0, img=None, strength=0.5, neg_prompt=""): update_state(" ") print(psutil.virtual_memory()) # print memory usage global current_model for model in models: if model.name == model_name: current_model = model model_path = current_model.path # generator = torch.Generator('cuda').manual_seed(seed) if seed != 0 else None if seed == 0: seed = random.randint(0, 2147483647) generator = torch.Generator('cuda').manual_seed(seed) try: if img is not None: return img_to_img(model_path, prompt, n_images, neg_prompt, img, strength, guidance, steps, width, height, generator, seed), f"Done. Seed: {seed}" else: return txt_to_img(model_path, prompt, n_images, neg_prompt, guidance, steps, width, height, generator, seed), f"Done. Seed: {seed}" except Exception as e: return None, error_str(e) def txt_to_img(model_path, prompt, n_images, neg_prompt, guidance, steps, width, height, generator, seed): print(f"{datetime.datetime.now()} txt_to_img, model: {current_model.name}") global last_mode global pipe global current_model_path if model_path != current_model_path or last_mode != "txt2img": current_model_path = model_path update_state(f"Loading {current_model.name} text-to-image model...") if is_colab or current_model == custom_model: pipe = StableDiffusionPipeline.from_pretrained( current_model_path, torch_dtype=torch.float16, scheduler=DPMSolverMultistepScheduler.from_pretrained(current_model.path, subfolder="scheduler"), safety_checker=lambda images, clip_input: (images, False) ) else: pipe = StableDiffusionPipeline.from_pretrained( current_model_path, torch_dtype=torch.float16, scheduler=DPMSolverMultistepScheduler.from_pretrained(current_model.path, subfolder="scheduler") ) # pipe = pipe.to("cpu") # pipe = current_model.pipe_t2i if torch.cuda.is_available(): pipe = pipe.to("cuda") pipe.enable_xformers_memory_efficient_attention() last_mode = "txt2img" prompt = current_model.prefix + prompt result = pipe( prompt, negative_prompt = neg_prompt, num_images_per_prompt=n_images, num_inference_steps = int(steps), guidance_scale = guidance, width = width, height = height, generator = generator, callback=pipe_callback) # update_state(f"Done. Seed: {seed}") return replace_nsfw_images(result) def img_to_img(model_path, prompt, n_images, neg_prompt, img, strength, guidance, steps, width, height, generator, seed): print(f"{datetime.datetime.now()} img_to_img, model: {model_path}") global last_mode global pipe global current_model_path if model_path != current_model_path or last_mode != "img2img": current_model_path = model_path update_state(f"Loading {current_model.name} image-to-image model...") if is_colab or current_model == custom_model: pipe = StableDiffusionImg2ImgPipeline.from_pretrained( current_model_path, torch_dtype=torch.float16, scheduler=DPMSolverMultistepScheduler.from_pretrained(current_model.path, subfolder="scheduler"), safety_checker=lambda images, clip_input: (images, False) ) else: pipe = StableDiffusionImg2ImgPipeline.from_pretrained( current_model_path, torch_dtype=torch.float16, scheduler=DPMSolverMultistepScheduler.from_pretrained(current_model.path, subfolder="scheduler") ) # pipe = pipe.to("cpu") # pipe = current_model.pipe_i2i if torch.cuda.is_available(): pipe = pipe.to("cuda") pipe.enable_xformers_memory_efficient_attention() last_mode = "img2img" prompt = current_model.prefix + prompt ratio = min(height / img.height, width / img.width) img = img.resize((int(img.width * ratio), int(img.height * ratio)), Image.LANCZOS) result = pipe( prompt, negative_prompt = neg_prompt, num_images_per_prompt=n_images, image = img, num_inference_steps = int(steps), strength = strength, guidance_scale = guidance, # width = width, # height = height, generator = generator, callback=pipe_callback) # update_state(f"Done. Seed: {seed}") return replace_nsfw_images(result) def replace_nsfw_images(results): if is_colab: return results.images for i in range(len(results.images)): if results.nsfw_content_detected[i]: results.images[i] = Image.open("nsfw.png") return results.images # css = """.finetuned-diffusion-div div{display:inline-flex;align-items:center;gap:.8rem;font-size:1.75rem}.finetuned-diffusion-div div h1{font-weight:900;margin-bottom:7px}.finetuned-diffusion-div p{margin-bottom:10px;font-size:94%}a{text-decoration:underline}.tabs{margin-top:0;margin-bottom:0}#gallery{min-height:20rem} # """ with gr.Blocks(css="style.css") as demo: gr.HTML( f"""

Protogen Web UI

Demo for multiple fine-tuned Stable Diffusion models, trained on different styles:
darkstorm2150 , darkstorm2150, darkstorm2150 + in colab notebook you can load any other Diffusers 🧨 SD model hosted on HuggingFace 🤗.

Running on {device}{(" in a Google Colab." if is_colab else "")}

You can also duplicate this space and upgrade to gpu by going to settings:
Duplicate Space

""" ) with gr.Row(): with gr.Column(scale=55): with gr.Group(): model_name = gr.Dropdown(label="Model", choices=[m.name for m in models], value=current_model.name) with gr.Box(visible=False) as custom_model_group: custom_model_path = gr.Textbox(label="Custom model path", placeholder="Path to model, e.g. nitrosocke/Arcane-Diffusion", interactive=True) gr.HTML("
Custom models have to be downloaded first, so give it some time.
") with gr.Row(): prompt = gr.Textbox(label="Prompt", show_label=False, max_lines=2,placeholder="Enter prompt. Style applied automatically").style(container=False) generate = gr.Button(value="Generate").style(rounded=(False, True, True, False)) # image_out = gr.Image(height=512) gallery = gr.Gallery(label="Generated images", show_label=False, elem_id="gallery").style(grid=[2], height="auto") state_info = gr.Textbox(label="State", show_label=False, max_lines=2).style(container=False) error_output = gr.Markdown() with gr.Column(scale=45): with gr.Tab("Options"): with gr.Group(): neg_prompt = gr.Textbox(label="Negative prompt", placeholder="What to exclude from the image") n_images = gr.Slider(label="Images", value=1, minimum=1, maximum=10, step=1) with gr.Row(): guidance = gr.Slider(label="Guidance scale", value=7.5, maximum=15) steps = gr.Slider(label="Steps", value=current_steps, minimum=2, maximum=75, step=1) with gr.Row(): width = gr.Slider(label="Width", value=512, minimum=64, maximum=1024, step=8) height = gr.Slider(label="Height", value=512, minimum=64, maximum=1024, step=8) seed = gr.Slider(0, 2147483647, label='Seed (0 = random)', value=0, step=1) with gr.Tab("Image to image"): with gr.Group(): image = gr.Image(label="Image", height=256, tool="editor", type="pil") strength = gr.Slider(label="Transformation strength", minimum=0, maximum=1, step=0.01, value=0.5) if is_colab: model_name.change(on_model_change, inputs=model_name, outputs=[custom_model_group, prompt], queue=False) custom_model_path.change(custom_model_changed, inputs=custom_model_path, outputs=None) # n_images.change(lambda n: gr.Gallery().style(grid=[2 if n > 1 else 1], height="auto"), inputs=n_images, outputs=gallery) steps.change(on_steps_change, inputs=[steps], outputs=[], queue=False) inputs = [model_name, prompt, guidance, steps, n_images, width, height, seed, image, strength, neg_prompt] outputs = [gallery, error_output] prompt.submit(inference, inputs=inputs, outputs=outputs) generate.click(inference, inputs=inputs, outputs=outputs) # ex = gr.Examples([ # ], inputs=[model_name, prompt, guidance, steps], outputs=outputs, fn=inference, cache_examples=False) ex = gr.Examples( [ #[models[0].name, "portrait of a beautiful alyx vance half life", 10, 50, "canvas frame, ((disfigured)), ((bad art)), ((deformed)),((extra limbs)),((close up)),((b&w)), weird colors, blurry, (((duplicate))), ((morbid)), ((mutilated)), [out of frame], extra fingers, mutated hands, ((poorly drawn hands)), ((poorly drawn face)), (((mutation))), (((deformed))), blurry, ((bad anatomy)), (((bad proportions))), ((extra limbs)), cloned face, (((disfigured))), out of frame, ugly, extra limbs, (bad anatomy), gross proportions, (malformed limbs), ((missing arms)), ((missing legs)), (((extra arms))), (((extra legs))), mutated hands, (fused fingers), (too many fingers), (((long neck))), Photoshop, video game, ugly, tiling, poorly drawn hands, poorly drawn feet, poorly drawn face, out of frame, mutation, mutated, extra limbs, extra legs, extra arms, disfigured, deformed, cross-eye, body out of frame, blurry, bad art, bad anatomy"], #[models[1].name, "Brad Pitt with sunglasses, highly realistic", 7.5, 50, "canvas frame, ((disfigured)), ((bad art)), ((deformed)),((extra limbs)),((close up)),((b&w)), weird colors, blurry, (((duplicate))), ((morbid)), ((mutilated)), [out of frame], extra fingers, mutated hands, ((poorly drawn hands)), ((poorly drawn face)), (((mutation))), (((deformed))), blurry, ((bad anatomy)), (((bad proportions))), ((extra limbs)), cloned face, (((disfigured))), out of frame, ugly, extra limbs, (bad anatomy), gross proportions, (malformed limbs), ((missing arms)), ((missing legs)), (((extra arms))), (((extra legs))), mutated hands, (fused fingers), (too many fingers), (((long neck))), Photoshop, video game, ugly, tiling, poorly drawn hands, poorly drawn feet, poorly drawn face, out of frame, mutation, mutated, extra limbs, extra legs, extra arms, disfigured, deformed, cross-eye, body out of frame, blurry, bad art, bad anatomy"], [models[1].name, "(extremely detailed CG unity 8k wallpaper), the most beautiful artwork in the world", 7.5, 50, "human, people, canvas frame, ((disfigured)), ((bad art)), ((deformed)),((extra limbs)),((close up)),((b&w)), weird colors, blurry, (((duplicate))), ((morbid)), ((mutilated)), [out of frame], extra fingers, mutated hands, ((poorly drawn hands)), ((poorly drawn face)), (((mutation))), (((deformed))), blurry, ((bad anatomy)), (((bad proportions))), ((extra limbs)), cloned face, (((disfigured))), out of frame, ugly, extra limbs, (bad anatomy), gross proportions, (malformed limbs), ((missing arms)), ((missing legs)), (((extra arms))), (((extra legs))), mutated hands, (fused fingers), (too many fingers), (((long neck))), Photoshop, video game, ugly, tiling, poorly drawn hands, poorly drawn feet, poorly drawn face, out of frame, mutation, mutated, extra limbs, extra legs, extra arms, disfigured, deformed, cross-eye, body out of frame, blurry, bad art, bad anatomy"], #[models[3].name, "(extremely detailed CG unity 8k wallpaper), full shot body photo star lord chris pratt posing in an outdoor spaceship, holding a gun, extremely detailed, trending on ArtStation, trending on CGSociety, Intricate, High Detail, dramatic, realism, beautiful and detailed lighting, shadows", 7.5, 50, "canvas frame, ((disfigured)), ((bad art)), ((deformed)),((extra limbs)),((close up)),((b&w)), weird colors, blurry, (((duplicate))), ((morbid)), ((mutilated)), [out of frame], extra fingers, mutated hands, ((poorly drawn hands)), ((poorly drawn face)), (((mutation))), (((deformed))), blurry, ((bad anatomy)), (((bad proportions))), ((extra limbs)), cloned face, (((disfigured))), out of frame, ugly, extra limbs, (bad anatomy), gross proportions, (malformed limbs), ((missing arms)), ((missing legs)), (((extra arms))), (((extra legs))), mutated hands, (fused fingers), (too many fingers), (((long neck))), Photoshop, video game, ugly, tiling, poorly drawn hands, poorly drawn feet, poorly drawn face, out of frame, mutation, mutated, extra limbs, extra legs, extra arms, disfigured, deformed, cross-eye, body out of frame, blurry, bad art, bad anatomy"], #[models[4].name, "(extremely detailed CG unity 8k wallpaper), full body portrait of (david:1.1), staring at us with a mysterious gaze, realistic, masterpiece, highest quality, ((scifi)), lens flare, ((light sparkles)), unreal engine, digital painting, trending on ArtStation, trending on CGSociety, Intricate, High Detail, dramatic, realism, beautiful and detailed lighting, shadows", 7.5, 50, "canvas frame, ((disfigured)), ((bad art)), ((deformed)),((extra limbs)),((close up)),((b&w)), weird colors, blurry, (((duplicate))), ((morbid)), ((mutilated)), [out of frame], extra fingers, mutated hands, ((poorly drawn hands)), ((poorly drawn face)), (((mutation))), (((deformed))), blurry, ((bad anatomy)), (((bad proportions))), ((extra limbs)), cloned face, (((disfigured))), out of frame, ugly, extra limbs, (bad anatomy), gross proportions, (malformed limbs), ((missing arms)), ((missing legs)), (((extra arms))), (((extra legs))), mutated hands, (fused fingers), (too many fingers), (((long neck))), Photoshop, video game, ugly, tiling, poorly drawn hands, poorly drawn feet, poorly drawn face, out of frame, mutation, mutated, extra limbs, extra legs, extra arms, disfigured, deformed, cross-eye, body out of frame, blurry, bad art, bad anatomy"], #[models[5].name, "(extremely detailed CG unity 8k wallpaper), full body portrait of (david:1.1), staring at us with a mysterious gaze, realistic, masterpiece, highest quality, ((scifi)), lens flare, ((light sparkles)), unreal engine, digital painting, trending on ArtStation, trending on CGSociety, Intricate, High Detail, dramatic, realism, beautiful and detailed lighting, shadows", 7.5, 50, "canvas frame, ((disfigured)), ((bad art)), ((deformed)),((extra limbs)),((close up)),((b&w)), weird colors, blurry, (((duplicate))), ((morbid)), ((mutilated)), [out of frame], extra fingers, mutated hands, ((poorly drawn hands)), ((poorly drawn face)), (((mutation))), (((deformed))), blurry, ((bad anatomy)), (((bad proportions))), ((extra limbs)), cloned face, (((disfigured))), out of frame, ugly, extra limbs, (bad anatomy), gross proportions, (malformed limbs), ((missing arms)), ((missing legs)), (((extra arms))), (((extra legs))), mutated hands, (fused fingers), (too many fingers), (((long neck))), Photoshop, video game, ugly, tiling, poorly drawn hands, poorly drawn feet, poorly drawn face, out of frame, mutation, mutated, extra limbs, extra legs, extra arms, disfigured, deformed, cross-eye, body out of frame, blurry, bad art, bad anatomy"], #[models[6].name, "(extremely detailed CG unity 8k wallpaper), full body portrait of (david:1.1), staring at us with a mysterious gaze, realistic, masterpiece, highest quality, ((scifi)), lens flare, ((light sparkles)), unreal engine, digital painting, trending on ArtStation, trending on CGSociety, Intricate, High Detail, dramatic, realism, beautiful and detailed lighting, shadows", 7.5, 50, "canvas frame, ((disfigured)), ((bad art)), ((deformed)),((extra limbs)),((close up)),((b&w)), weird colors, blurry, (((duplicate))), ((morbid)), ((mutilated)), [out of frame], extra fingers, mutated hands, ((poorly drawn hands)), ((poorly drawn face)), (((mutation))), (((deformed))), blurry, ((bad anatomy)), (((bad proportions))), ((extra limbs)), cloned face, (((disfigured))), out of frame, ugly, extra limbs, (bad anatomy), gross proportions, (malformed limbs), ((missing arms)), ((missing legs)), (((extra arms))), (((extra legs))), mutated hands, (fused fingers), (too many fingers), (((long neck))), Photoshop, video game, ugly, tiling, poorly drawn hands, poorly drawn feet, poorly drawn face, out of frame, mutation, mutated, extra limbs, extra legs, extra arms, disfigured, deformed, cross-eye, body out of frame, blurry, bad art, bad anatomy"], #[models[7].name, "(extremely detailed CG unity 8k wallpaper), full body portrait of (david:1.1), staring at us with a mysterious gaze, realistic, masterpiece, highest quality, ((scifi)), lens flare, ((light sparkles)), unreal engine, digital painting, trending on ArtStation, trending on CGSociety, Intricate, High Detail, dramatic, realism, beautiful and detailed lighting, shadows", 7.5, 50, "canvas frame, ((disfigured)), ((bad art)), ((deformed)),((extra limbs)),((close up)),((b&w)), weird colors, blurry, (((duplicate))), ((morbid)), ((mutilated)), [out of frame], extra fingers, mutated hands, ((poorly drawn hands)), ((poorly drawn face)), (((mutation))), (((deformed))), blurry, ((bad anatomy)), (((bad proportions))), ((extra limbs)), cloned face, (((disfigured))), out of frame, ugly, extra limbs, (bad anatomy), gross proportions, (malformed limbs), ((missing arms)), ((missing legs)), (((extra arms))), (((extra legs))), mutated hands, (fused fingers), (too many fingers), (((long neck))), Photoshop, video game, ugly, tiling, poorly drawn hands, poorly drawn feet, poorly drawn face, out of frame, mutation, mutated, extra limbs, extra legs, extra arms, disfigured, deformed, cross-eye, body out of frame, blurry, bad art, bad anatomy"], ], inputs=[model_name, prompt, guidance, steps, neg_prompt], outputs=outputs, fn=inference, cache_examples=False, ) gr.HTML("""

Models by darkstorm2150, and others. ❤️

""") demo.load(update_state_info, inputs=state_info, outputs=state_info, every=0.5, show_progress=False) print(f"Space built in {time.time() - start_time:.2f} seconds") # if not is_colab: demo.queue(concurrency_count=1) demo.launch(debug=is_colab, share=is_colab)