Duplicate from DmitryMakik/vk_Stable_Diffusion

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README.md

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+---
+title: Vk Stable Diffusion
+emoji: 🐢
+colorFrom: purple
+colorTo: indigo
+sdk: gradio
+sdk_version: 3.23.0
+app_file: app.py
+pinned: false
+license: mit
+duplicated_from: DmitryMakik/vk_Stable_Diffusion
+---
+
+Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference

app.py

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+import gradio as gr
+import modin.pandas as pd
+import torch
+import numpy as np
+from PIL import Image
+from diffusers import DiffusionPipeline
+from huggingface_hub import login
+#import os
+#login(token=os.environ.get('HF_KEY'))
+device = "cuda" if torch.cuda.is_available() else "cpu"
+pipe = DiffusionPipeline.from_pretrained("stabilityai/stable-diffusion-xl-refiner-1.0", torch_dtype=torch.float16) if torch.cuda.is_available() else DiffusionPipeline.from_pretrained("stabilityai/stable-diffusion-xl-refiner-1.0")
+pipe = pipe.to(device)
+def resize(height, width, img):
+    img = Image.open(img)
+    img = img.resize((height, width))
+    return img
+def infer(source_img, prompt, negative_prompt, height, width, guide, steps, seed, strength):
+    generator = torch.Generator(device).manual_seed(seed)     
+    source_image = resize(height, width, source_img)
+    source_image.save('source.png')
+    image = pipe(prompt, negative_prompt=negative_prompt, image=source_image, strength=strength, guidance_scale=guide, num_inference_steps=steps).images[0]
+    return image
+gr.Interface(fn=infer, inputs=[
+        gr.Image(source="upload", type="filepath", label="Raw Image. Must Be .png"),
+        gr.Textbox(label='Что вы хотите, чтобы ИИ генерировал'),
+        gr.Textbox(label='Что вы не хотите, чтобы ИИ генерировал'),
+        gr.Slider(512, 1024, 768, step=1, label='Ширина картинки'),
+        gr.Slider(512, 1024, 768, step=1, label='Высота картинки'),                          
+        gr.Slider(2, 15, value=7, label='Шкала навигации'),
+        gr.Slider(1, 25, value=10, step=1, label='Количество итераций'),
+        gr.Slider(label="Зерно", minimum=0, maximum=987654321987654321, step=1, randomize=True), 
+        gr.Slider(label='Сила', minimum=0, maximum=1, step=.05, value=.5),
+        
+    ], 
+     outputs='image', title = "ВКонтакте - Stable Diffusion XL 1.0 - img2img",article = "<br><br><br><br><br>").launch(debug=True, max_threads=80)

requirements.txt

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+diffusers
+transformers
+accelerate
+ftfy
+modin[all]
+invisible_watermark