Revert "[new-model] Add PAN2 text-to-video and image-to-video" (#2025)

examples/inference/basic/basic_pan2.py

@@ -1,40 +0,0 @@
-import os
-
-from fastvideo import VideoGenerator
-
-# PAN2 is trained on the structured captions its prompt rewriter produces (serialized as one-line JSON). Plain
-# prompts like this one work, with weaker results.
-PROMPT = ("A red fox trots through fresh snow in a pine forest at dawn, its breath visible in the cold air. "
-          "The camera tracks it from the side at ground level as low golden light filters through the trees.")
-
-OUTPUT_PATH = "video_samples_pan2"
-MODEL_PATH = os.environ.get("PAN2_MODEL_PATH", "IFM/PAN2")
-
-# Set to a first frame (e.g. "assets/images/girl.png") for image-to-video; the same pipeline runs both modes.
-IMAGE_PATH = None
-
-
-def main():
-    # The 29B DiT runs in bf16; with more GPUs, num_gpus enables Ulysses sequence parallelism (the 32 attention
-    # heads must be divisible by it).
-    generator = VideoGenerator.from_pretrained(
-        MODEL_PATH,
-        num_gpus=int(os.environ.get("PAN2_NUM_GPUS", "1")),
-        use_fsdp_inference=False,
-        dit_cpu_offload=False,
-        dit_layerwise_offload=False,
-        vae_cpu_offload=False,
-        text_encoder_cpu_offload=True,
-        pin_cpu_memory=True,
-    )
-
-    generator.generate_video(
-        PROMPT,
-        image_path=IMAGE_PATH,
-        output_path=OUTPUT_PATH,
-        save_video=True,
-    )
-
-
-if __name__ == "__main__":
-    main()