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| import gradio as gr | |
| import torch | |
| import numpy as np | |
| import modin.pandas as pd | |
| from PIL import Image | |
| from diffusers import DiffusionPipeline, StableDiffusionLatentUpscalePipeline | |
| device = "cuda" if torch.cuda.is_available() else "cpu" | |
| #pipe = DiffusionPipeline.from_pretrained("dreamlike-art/dreamlike-photoreal-2.0", torch_dtype=torch.float16, safety_checker=None, use_safetensors=False) | |
| pipe = DiffusionPipeline.from_pretrained("circulus/sd-photoreal-semi-v2" , torch_dtype=torch.float16, safety_checker=None, use_safetensors=False) | |
| upscaler = StableDiffusionLatentUpscalePipeline.from_pretrained("stabilityai/sd-x2-latent-upscaler", torch_dtype=torch.float16) | |
| upscaler = upscaler.to(device) | |
| pipe = pipe.to(device) | |
| def genie (Prompt, negative_prompt, height, width, scale, steps, seed, upscale, upscale_prompt, upscale_neg, upscale_scale, upscale_steps): | |
| generator = torch.Generator(device=device).manual_seed(seed) | |
| if upscale == "Yes": | |
| low_res_latents = pipe(Prompt, negative_prompt=negative_prompt, height=height, width=width, num_inference_steps=steps, guidance_scale=scale, generator=generator, output_type="latent").images | |
| image = upscaler(prompt=upscale_prompt, negative_prompt=upscale_neg, image=low_res_latents, num_inference_steps=upscale_steps, guidance_scale=upscale_scale, generator=generator).images[0] | |
| else: | |
| image = pipe(Prompt, negative_prompt=negative_prompt, height=height, width=width, num_inference_steps=steps, guidance_scale=scale, generator=generator).images[0] | |
| return image | |
| gr.Interface(theme='ParityError/Anime', fn=genie, inputs=[gr.Textbox(label='Input field right under here(Prompt)'), | |
| gr.Textbox(label='What You dont want (Negative Prompt)'), | |
| gr.Slider(512, 1024, 768, step=128, label='Height'), | |
| gr.Slider(512, 1024, 768, step=128, label='Width'), | |
| gr.Slider(1, maximum=15, value=10, step=.25), | |
| gr.Slider(25, maximum=100, value=50, step=25), | |
| gr.Slider(minimum=1, step=1, maximum=9999999999999999, randomize=True), | |
| # gr.Radio(["Yes", "No"], label='Upscale?'), | |
| #gr.Textbox(label='Upscaler Prompt: Optional'), | |
| #gr.Textbox(label='Upscaler Negative Prompt: Both Optional And Experimental'), | |
| #gr.Slider(minimum=0, maximum=15, value=0, step=1, label='Upscale Guidance Scale'), | |
| #gr.Slider(minimum=5, maximum=25, value=5, step=5, label='Upscaler Iterations') | |
| ], | |
| outputs=gr.Image(label='Generated Image'), | |
| title="Dream Art (SD) ", | |
| description="<h4> <div style='width:100%'> Info:Dream Art (SD) Please Duplicate from HF!<br> This App is our favorite now and shows how Stable diffusion works in a good way !</h4></div>", | |
| ).launch(debug=True, max_threads=True) | |