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usage.py

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+"""Generate an image with the Q4_K Ideogram 4 DiT.
+
+  python download_deps.py            # one time (gated base-repo access required)
+  python usage.py "a poster that says HELLO"
+
+Memory: the FP8 pipeline is large; on a 24 GB card you may need an offload/
+sequential-load recipe (see recipe-q4_k.json and the quantization writeup).
+"""
+import sys
+import torch
+from ideogram4 import Ideogram4Pipeline, Ideogram4PipelineConfig
+from gguf_loader import load_gguf_tensors, swap_branch
+
+GGUF = "ideogram4-q4_k.gguf"
+prompt = sys.argv[1] if len(sys.argv) > 1 else 'a storefront sign that says "FRESH COFFEE"'
+
+pipe = Ideogram4Pipeline.from_pretrained(
+    config=Ideogram4PipelineConfig(weights_repo="ideogram-ai/ideogram-4-fp8"),
+    device="cuda", dtype=torch.bfloat16)
+
+g = load_gguf_tensors(GGUF)
+print("linears swapped:",
+      swap_branch(pipe.conditional_transformer, g, "cond"),
+      swap_branch(pipe.unconditional_transformer, g, "uncond"))
+
+img = pipe(prompt, num_steps=48, height=1024, width=1024, seed=1000)[0]
+img.save("out.png")
+print("saved out.png")