update docs

examples/flux2/model_inference/Template-KleinBase4B-ControlNet.py

@@ -0,0 +1,54 @@
+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
+
+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"),
+        ModelConfig(model_id="black-forest-labs/FLUX.2-klein-4B", origin_file_pattern="text_encoder/*.safetensors"),
+        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/"),
+)
+template = TemplatePipeline.from_pretrained(
+    torch_dtype=torch.bfloat16,
+    device="cuda",
+    model_configs=[ModelConfig(model_id="DiffSynth-Studio/Template-KleinBase4B-ControlNet")],
+)
+dataset_snapshot_download(
+    "DiffSynth-Studio/examples_in_diffsynth",
+    allow_file_pattern=["templates/*"],
+    local_dir="data/examples",
+)
+image = template(
+    pipe,
+    prompt="A cat is sitting on a stone, bathed in bright sunshine.",
+    seed=0, cfg_scale=4, num_inference_steps=50,
+    template_inputs = [{
+        "image": Image.open("data/examples/templates/image_depth.jpg"),
+        "prompt": "A cat is sitting on a stone, bathed in bright sunshine.",
+    }],
+    negative_template_inputs = [{
+        "image": Image.open("data/examples/templates/image_depth.jpg"),
+        "prompt": "",
+    }],
+)
+image.save("image_ControlNet_sunshine.jpg")
+image = template(
+    pipe,
+    prompt="A cat is sitting on a stone, surrounded by colorful magical particles.",
+    seed=0, cfg_scale=4, num_inference_steps=50,
+    template_inputs = [{
+        "image": Image.open("data/examples/templates/image_depth.jpg"),
+        "prompt": "A cat is sitting on a stone, surrounded by colorful magical particles.",
+    }],
+    negative_template_inputs = [{
+        "image": Image.open("data/examples/templates/image_depth.jpg"),
+        "prompt": "",
+    }],
+)
+image.save("image_ControlNet_magic.jpg")