update docs

examples/flux2/model_inference_low_vram/Template-KleinBase4B-Edit.py

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+from diffsynth.diffusion.template import TemplatePipeline
+from diffsynth.pipelines.flux2_image import Flux2ImagePipeline, ModelConfig
+import torch
+from modelscope import dataset_snapshot_download
+from PIL import Image
+
+vram_config = {
+    "offload_dtype": "disk",
+    "offload_device": "disk",
+    "onload_dtype": torch.float8_e4m3fn,
+    "onload_device": "cpu",
+    "preparing_dtype": torch.float8_e4m3fn,
+    "preparing_device": "cuda",
+    "computation_dtype": torch.bfloat16,
+    "computation_device": "cuda",
+}
+pipe = Flux2ImagePipeline.from_pretrained(
+    torch_dtype=torch.bfloat16,
+    device="cuda",
+    model_configs=[
+        ModelConfig(model_id="black-forest-labs/FLUX.2-klein-base-4B", origin_file_pattern="transformer/*.safetensors", **vram_config),
+        ModelConfig(model_id="black-forest-labs/FLUX.2-klein-4B", origin_file_pattern="text_encoder/*.safetensors", **vram_config),
+        ModelConfig(model_id="black-forest-labs/FLUX.2-klein-4B", origin_file_pattern="vae/diffusion_pytorch_model.safetensors"),
+    ],
+    tokenizer_config=ModelConfig(model_id="black-forest-labs/FLUX.2-klein-4B", origin_file_pattern="tokenizer/"),
+    vram_limit=torch.cuda.mem_get_info("cuda")[1] / (1024 ** 3) - 0.5,
+)
+template = TemplatePipeline.from_pretrained(
+    torch_dtype=torch.bfloat16,
+    device="cuda",
+    model_configs=[ModelConfig(model_id="DiffSynth-Studio/Template-KleinBase4B-Edit")],
+    lazy_loading=True,
+)
+dataset_snapshot_download(
+    "DiffSynth-Studio/examples_in_diffsynth",
+    allow_file_pattern=["templates/*"],
+    local_dir="data/examples",
+)
+image = template(
+    pipe,
+    prompt="Put a hat on this cat.",
+    seed=0, cfg_scale=4, num_inference_steps=50,
+    template_inputs = [{
+        "image": Image.open("data/examples/templates/image_reference.jpg"),
+        "prompt": "Put a hat on this cat.",
+    }],
+    negative_template_inputs = [{
+        "image": Image.open("data/examples/templates/image_reference.jpg"),
+        "prompt": "",
+    }],
+)
+image.save("image_Edit_hat.jpg")
+image = template(
+    pipe,
+    prompt="Make the cat turn its head to look to the right.",
+    seed=0, cfg_scale=4, num_inference_steps=50,
+    template_inputs = [{
+        "image": Image.open("data/examples/templates/image_reference.jpg"),
+        "prompt": "Make the cat turn its head to look to the right.",
+    }],
+    negative_template_inputs = [{
+        "image": Image.open("data/examples/templates/image_reference.jpg"),
+        "prompt": "",
+    }],
+)
+image.save("image_Edit_head.jpg")