Upload SD3.py

SD3.py

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+## write a diffuers function to generate images
+import torch
+from diffusers import StableDiffusion3Pipeline
+import random
+
+class ImageGenerator:
+    def __init__(self, repo: str):
+        self.repo = repo
+        self.pipeline = StableDiffusion3Pipeline.from_pretrained(self.repo, torch_dtype=torch.float16, local_files_only = True)
+        self.pipeline.enable_model_cpu_offload()
+
+    def generate_image(self, prompt: str, width: int = 1024, height: int = 1024, scale_factor: float = 4.5, steps: int = 28, seed: int = None):
+        seed = seed if seed is not None else random.randint(0, 2**32 - 1)
+        print(f"using {seed} to generate image...")
+        generator = torch.Generator("cuda").manual_seed(seed)
+        image = self.pipeline(
+            prompt,
+            negative_prompt="",
+            width=width,
+            height=height,
+            num_inference_steps=steps,
+            guidance_scale=scale_factor,
+            max_sequence_length=512,
+            generator=generator,
+        ).images[0]
+        return image
+    
+Sd_repo = "/tmp/pretrainmodel/stable-diffusion-3.5-medium-ungated"
+sd_model = ImageGenerator(Sd_repo)
+prompt = "A close-up portrait of an Asian girl with blunt bangs and big eyes, side profile, holding a red apple on top of her head, in a winter beach setting. She looks very happy, with snowflakes gently falling on her hair. The scene is captured with a high-quality DSLR camera, showcasing natural light and bokeh effects, with a fresh, crisp light and shadow play, reminiscent of a snowy film scene."
+image = sd_model.generate_image(prompt)