flux

examples/flux/model_inference/FLUX.1-Kontext-dev.py

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+import torch
+from diffsynth.pipelines.flux_image import FluxImagePipeline, ModelConfig
+from PIL import Image
+
+
+pipe = FluxImagePipeline.from_pretrained(
+    torch_dtype=torch.bfloat16,
+    device="cuda",
+    model_configs=[
+        ModelConfig(model_id="black-forest-labs/FLUX.1-Kontext-dev", origin_file_pattern="flux1-kontext-dev.safetensors"),
+        ModelConfig(model_id="black-forest-labs/FLUX.1-dev", origin_file_pattern="text_encoder/model.safetensors"),
+        ModelConfig(model_id="black-forest-labs/FLUX.1-dev", origin_file_pattern="text_encoder_2/*.safetensors"),
+        ModelConfig(model_id="black-forest-labs/FLUX.1-dev", origin_file_pattern="ae.safetensors"),
+    ],
+)
+
+image_1 = pipe(
+    prompt="a beautiful Asian long-haired female college student.",
+    embedded_guidance=2.5,
+    seed=1,
+)
+image_1.save("image_1.jpg")
+
+image_2 = pipe(
+    prompt="transform the style to anime style.",
+    kontext_images=image_1,
+    embedded_guidance=2.5,
+    seed=2,
+)
+image_2.save("image_2.jpg")
+
+image_3 = pipe(
+    prompt="let her smile.",
+    kontext_images=image_1,
+    embedded_guidance=2.5,
+    seed=3,
+)
+image_3.save("image_3.jpg")
+
+image_4 = pipe(
+    prompt="let the girl play basketball.",
+    kontext_images=image_1,
+    embedded_guidance=2.5,
+    seed=4,
+)
+image_4.save("image_4.jpg")
+
+image_5 = pipe(
+    prompt="move the girl to a park, let her sit on a chair.",
+    kontext_images=image_1,
+    embedded_guidance=2.5,
+    seed=5,
+)
+image_5.save("image_5.jpg")