d

app.py

@@ -1,44 +1,21 @@
 import gradio as gr
-import torch
-from PIL import Image
-from diffusers import StableDiffusionPipeline, DPMSolverMultistepScheduler
 
-import gradio as gr
-
-gr.load("models/radames/stable-diffusion-2-1-img2img").launch()
-
-model_id = "stabilityai/stable-diffusion-2-1"
-
-device = "cpu"
-# DPM-Solver++ scheduler'ını kullan, torch_dtype belirtme
-pipe = StableDiffusionPipeline.from_pretrained(model_id)
-pipe.scheduler = DPMSolverMultistepScheduler.from_config(pipe.scheduler.config)
-pipe = pipe.to(device)
+# Modeli yükle
+model = gr.load("models/radames/stable-diffusion-2-1-img2img")
 
-def resize(value, img_path):
-    img = Image.open(img_path)
-    img = img.resize((value, value))
-    return img
+def my_custom_function(image, prompt):
+    # Modeli doğrudan çağır
+    output = model(image=image, prompt=prompt)
+    # Burada output üzerinde ek işlemler yapabilirsiniz
+    # Örneğin, çıktıyı yeniden boyutlandırma, filtreleme vb.
+    return output
 
-def infer(source_img, prompt, negative_prompt, guide, steps, seed, Strength):
-    generator = torch.Generator(device).manual_seed(seed)
-    source_image = resize(768, source_img)
-    source_image.save('source.png')
-    image = pipe(prompt, negative_prompt=negative_prompt, init_image=source_image, strength=Strength, guidance_scale=guide, num_inference_steps=steps, generator=generator).images[0]
-    return image
+iface = gr.Interface(
+    fn=my_custom_function,
+    inputs=[gr.Image(type="pil"), gr.Textbox()],
+    outputs=gr.Image(type="pil"),
+    title="My Custom Stable Diffusion img2img Interface",
+    description="This is a custom interface for Stable Diffusion img2img model with additional processing."
+)
 
-gr.Interface(
-    fn=infer, 
-    inputs=[
-        gr.Image(type="filepath", label="Raw Image. Must Be .png"),  # Güncellenmiş kullanım
-        gr.Textbox(label='Prompt Input Text. 77 Token (Keyword or Symbol) Maximum'), 
-        gr.Textbox(label='What you Do Not want the AI to generate.'),
-        gr.Slider(2, 15, value=7, label='Guidance Scale'),
-        gr.Slider(1, 25, value=10, step=1, label='Number of Iterations'),
-        gr.Slider(label="Seed", minimum=0, maximum=987654321987654321, step=1, randomize=True), 
-        gr.Slider(label='Strength', minimum=0, maximum=1, step=.05, value=.5)
-    ], 
-    outputs=gr.Image(type="pil"), 
-    title="Stable Diffusion 2.1 Image to Image Pipeline on CPU", 
-    description="For more information on Stable Diffusion 2.1 see https://github.com/Stability-AI/stablediffusion"
-).launch()
+iface.launch()