Create spp_1.py

spp_1.py

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+import torch
+from diffusers import AnimateDiffPipeline, DDIMScheduler, MotionAdapter
+from diffusers.utils import export_to_gif
+
+# Load motion adapter
+adapter = MotionAdapter.from_pretrained("guoyww/animatediff-motion-adapter-v1-5-2", torch_dtype=torch.float16)
+
+# Load SD 1.5-based model
+model_id = "SG161222/Realistic_Vision_V5.1_noVAE"
+pipe = AnimateDiffPipeline.from_pretrained(model_id, torch_dtype=torch.float16)
+
+# Attach motion adapter
+pipe.motion_adapter = adapter
+
+# Configure scheduler properly
+pipe.scheduler = DDIMScheduler.from_config(pipe.scheduler.config)
+
+# Enable memory-efficient settings
+pipe.enable_xformers_memory_efficient_attention()  # Speeds up inference
+pipe.enable_vae_slicing()  # Saves VRAM
+pipe.enable_model_cpu_offload()  # Offloads to CPU when VRAM is low
+
+# Set up inference
+generator = torch.manual_seed(42)
+output = pipe(
+    prompt=(
+        "masterpiece, best quality, highly detailed, ultradetailed, sunset, "
+        "orange sky, warm lighting, fishing boats, ocean waves, seagulls, "
+        "rippling water, wharf, silhouette, serene atmosphere, dusk, evening glow, "
+        "golden hour, coastal landscape, seaside scenery"
+    ),
+    negative_prompt="low quality, blurry, distorted, deformed, ugly",
+    num_frames=16,
+    guidance_scale=7.5,
+    num_inference_steps=25,
+    generator=generator,
+)
+
+# Save animation as GIF
+export_to_gif(output.frames[0], "animation.gif")