update

examples/flux/model_inference_low_vram/Step1X-Edit.py

@@ -0,0 +1,43 @@
+import torch
+from diffsynth.pipelines.flux_image import FluxImagePipeline, ModelConfig
+from PIL import Image
+import numpy as np
+
+
+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="Qwen/Qwen2.5-VL-7B-Instruct", origin_file_pattern="model-*.safetensors", **vram_config),
+        ModelConfig(model_id="stepfun-ai/Step1X-Edit", origin_file_pattern="step1x-edit-i1258.safetensors", **vram_config),
+        ModelConfig(model_id="stepfun-ai/Step1X-Edit", origin_file_pattern="vae.safetensors", **vram_config),
+    ],
+    vram_limit=torch.cuda.mem_get_info("cuda")[1] / (1024 ** 3) - 0.5,
+)
+
+image = Image.fromarray(np.zeros((1248, 832, 3), dtype=np.uint8) + 255)
+image = pipe(
+    prompt="draw red flowers in Chinese ink painting style",
+    step1x_reference_image=image,
+    width=832, height=1248, cfg_scale=6,
+    seed=1, rand_device='cuda'
+)
+image.save("image_1.jpg")
+
+image = pipe(
+    prompt="add more flowers in Chinese ink painting style",
+    step1x_reference_image=image,
+    width=832, height=1248, cfg_scale=6,
+    seed=2, rand_device='cuda'
+)
+image.save("image_2.jpg")