update

examples/flux/model_inference_low_vram/Nexus-Gen-Generation.py

@@ -0,0 +1,43 @@
+import importlib
+import torch
+from diffsynth.pipelines.flux_image import FluxImagePipeline, ModelConfig
+
+
+if importlib.util.find_spec("transformers") is None:
+    raise ImportError("You are using Nexus-GenV2. It depends on transformers, which is not installed. Please install it with `pip install transformers==4.49.0`.")
+else:
+    import transformers
+    assert transformers.__version__ == "4.49.0", "Nexus-GenV2 requires transformers==4.49.0, please install it with `pip install transformers==4.49.0`."
+
+
+vram_config = {
+    "onload_dtype": torch.float8_e4m3fn,
+    "onload_device": "cpu",
+    "onload_dtype": torch.float8_e4m3fn,
+    "onload_device": "cpu",
+    "preparing_dtype": torch.float8_e4m3fn,
+    "preparing_device": "cuda",
+    "computation_dtype": torch.bfloat16,
+    "computation_device": "cuda",
+}
+pipe = FluxImagePipeline.from_pretrained(
+    torch_dtype=torch.bfloat16,
+    device="cuda",
+    model_configs=[
+        ModelConfig(model_id="DiffSynth-Studio/Nexus-GenV2", origin_file_pattern="model*.safetensors", **vram_config),
+        ModelConfig(model_id="DiffSynth-Studio/Nexus-GenV2", origin_file_pattern="generation_decoder.bin", **vram_config),
+        ModelConfig(model_id="black-forest-labs/FLUX.1-dev", origin_file_pattern="text_encoder/model.safetensors", **vram_config),
+        ModelConfig(model_id="black-forest-labs/FLUX.1-dev", origin_file_pattern="text_encoder_2/*.safetensors", **vram_config),
+        ModelConfig(model_id="black-forest-labs/FLUX.1-dev", origin_file_pattern="ae.safetensors", **vram_config),
+    ],
+    nexus_gen_processor_config=ModelConfig("DiffSynth-Studio/Nexus-GenV2", origin_file_pattern="processor"),
+    vram_limit=torch.cuda.mem_get_info("cuda")[1] / (1024 ** 3) - 0.5,
+)
+
+prompt = "一只可爱的猫咪"
+image = pipe(
+    prompt=prompt, negative_prompt="",
+    seed=0, cfg_scale=3, num_inference_steps=50,
+    height=1024, width=1024,
+)
+image.save("cat.jpg")