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README.md

@@ -1,8 +1,13 @@
 ---
 title: Suanfamama_AIGC_alg2
-app_file: app.py
+emoji: 🎨
+colorFrom: blue
+colorTo: indigo
 sdk: gradio
-sdk_version: 4.29.0
+sdk_version: 4.36.1
+app_file: app.py
+pinned: true
+license: mit
 ---
 
 # alg 算法

app.py

@@ -1,37 +1,137 @@
 import gradio as gr
+import numpy as np
+import random
 import torch
-from diffusers import StableDiffusion3Pipeline
+from diffusers import StableDiffusion3Pipeline, SD3Transformer2DModel, FlowMatchEulerDiscreteScheduler
+import spaces
 
-# Load the model
-pipe = StableDiffusion3Pipeline.from_pretrained(
-    "stable-diffusion-3-medium-diffusers",
-    torch_dtype=torch.float16
-)
-pipe = pipe.to("cuda:1")
+device = "cuda" if torch.cuda.is_available() else "cpu"
+dtype = torch.float16
 
-def generate_image(prompt, negative_prompt, num_inference_steps, guidance_scale):
-    # Generate the image
+repo = "stabilityai/stable-diffusion-3-medium-diffusers"
+pipe = StableDiffusion3Pipeline.from_pretrained(repo, torch_dtype=torch.float16).to(device)
+
+MAX_SEED = np.iinfo(np.int32).max
+MAX_IMAGE_SIZE = 1344
+
+@spaces.GPU
+def infer(prompt, negative_prompt, seed, randomize_seed, width, height, guidance_scale, num_inference_steps, progress=gr.Progress(track_tqdm=True)):
+
+    if randomize_seed:
+        seed = random.randint(0, MAX_SEED)
+        
+    generator = torch.Generator().manual_seed(seed)
+    
     image = pipe(
-        prompt,
-        negative_prompt=negative_prompt,
-        num_inference_steps=num_inference_steps,
-        guidance_scale=guidance_scale
-    ).images[0]
-    return image
-
-# Create the Gradio interface
-interface = gr.Interface(
-    fn=generate_image,
-    inputs=[
-        gr.Textbox(label="正向提示词"),
-        gr.Textbox(label="负向提示词", placeholder="Optional"),
-        gr.Slider(step=1, minimum=1, maximum=100, value=28, label="推理步数"),
-        gr.Slider(minimum=1.0, maximum=20.0, step=0.1, value=7.0, label="Guidance Scale")
-    ],
-    outputs="image",
-    title="Stable Diffusion 3 Image Generator",
-    description="Generate images with Stable Diffusion 3. Type a prompt and see the magic!"
-)
-
-# Launch the interface
-interface.launch(server_name="0.0.0.0", server_port=8912, inbrowser=True, share=False)
+        prompt = prompt, 
+        negative_prompt = negative_prompt,
+        guidance_scale = guidance_scale, 
+        num_inference_steps = num_inference_steps, 
+        width = width, 
+        height = height,
+        generator = generator
+    ).images[0] 
+    
+    return image, seed
+
+examples = [
+    "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k",
+    "An astronaut riding a green horse",
+    "A delicious ceviche cheesecake slice",
+]
+
+css="""
+#col-container {
+    margin: 0 auto;
+    max-width: 580px;
+}
+"""
+
+with gr.Blocks(css=css) as demo:
+    
+    with gr.Column(elem_id="col-container"):
+        gr.Markdown(f"""
+        # Demo [Stable Diffusion 3 Medium](https://huggingface.co/stabilityai/stable-diffusion-3-medium)
+        Learn more about the [Stable Diffusion 3 series](https://stability.ai/news/stable-diffusion-3). Try on [Stability AI API](https://platform.stability.ai/docs/api-reference#tag/Generate/paths/~1v2beta~1stable-image~1generate~1sd3/post), [Stable Assistant](https://stability.ai/stable-assistant), or on Discord via [Stable Artisan](https://stability.ai/stable-artisan). Run locally with [ComfyUI](https://github.com/comfyanonymous/ComfyUI) or [diffusers](https://github.com/huggingface/diffusers)
+        """)
+        
+        with gr.Row():
+            
+            prompt = gr.Text(
+                label="Prompt",
+                show_label=False,
+                max_lines=1,
+                placeholder="Enter your prompt",
+                container=False,
+            )
+            
+            run_button = gr.Button("Run", scale=0)
+        
+        result = gr.Image(label="Result", show_label=False)
+
+        with gr.Accordion("Advanced Settings", open=False):
+            
+            negative_prompt = gr.Text(
+                label="Negative prompt",
+                max_lines=1,
+                placeholder="Enter a negative prompt",
+            )
+            
+            seed = gr.Slider(
+                label="Seed",
+                minimum=0,
+                maximum=MAX_SEED,
+                step=1,
+                value=0,
+            )
+            
+            randomize_seed = gr.Checkbox(label="Randomize seed", value=True)
+            
+            with gr.Row():
+                
+                width = gr.Slider(
+                    label="Width",
+                    minimum=256,
+                    maximum=MAX_IMAGE_SIZE,
+                    step=64,
+                    value=1024,
+                )
+                
+                height = gr.Slider(
+                    label="Height",
+                    minimum=256,
+                    maximum=MAX_IMAGE_SIZE,
+                    step=64,
+                    value=1024,
+                )
+            
+            with gr.Row():
+                
+                guidance_scale = gr.Slider(
+                    label="Guidance scale",
+                    minimum=0.0,
+                    maximum=10.0,
+                    step=0.1,
+                    value=5.0,
+                )
+                
+                num_inference_steps = gr.Slider(
+                    label="Number of inference steps",
+                    minimum=1,
+                    maximum=50,
+                    step=1,
+                    value=28,
+                )
+        
+        gr.Examples(
+            examples = examples,
+            inputs = [prompt]
+        )
+    gr.on(
+        triggers=[run_button.click, prompt.submit, negative_prompt.submit],
+        fn = infer,
+        inputs = [prompt, negative_prompt, seed, randomize_seed, width, height, guidance_scale, num_inference_steps],
+        outputs = [result, seed]
+    )
+
+demo.launch()

requirements.txt

@@ -1,4 +1,4 @@
-gradio
-torch
-diffusers
-transformers
+git+https://github.com/huggingface/diffusers.git
+transformers
+accelerate
+sentencepiece