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https://github.com/modelscope/DiffSynth-Studio.git
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45 lines
1.2 KiB
Python
45 lines
1.2 KiB
Python
import torch
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from diffsynth.pipelines.flux_image_new import FluxImagePipeline, ModelConfig
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from modelscope import snapshot_download
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from PIL import Image
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import numpy as np
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snapshot_download("Qwen/Qwen2.5-VL-7B-Instruct", cache_dir="./models")
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snapshot_download("stepfun-ai/Step1X-Edit", cache_dir="./models")
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pipe = FluxImagePipeline.from_pretrained(
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torch_dtype=torch.bfloat16,
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device="cuda",
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model_configs=[
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ModelConfig(path="models/Qwen/Qwen2.5-VL-7B-Instruct"),
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ModelConfig(model_id="stepfun-ai/Step1X-Edit", origin_file_pattern="step1x-edit-i1258.safetensors"),
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ModelConfig(model_id="stepfun-ai/Step1X-Edit", origin_file_pattern="vae.safetensors"),
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],
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)
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pipe.enable_vram_management()
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image = Image.fromarray(np.zeros((1248, 832, 3), dtype=np.uint8) + 255)
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image = pipe(
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prompt="draw red flowers in Chinese ink painting style",
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step1x_reference_image=image,
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width=832, height=1248, cfg_scale=6,
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seed=1,
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rand_device='cuda'
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)
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image.save("image_1.jpg")
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image = pipe(
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prompt="add more flowers in Chinese ink painting style",
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step1x_reference_image=image,
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width=832, height=1248, cfg_scale=6,
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seed=2,
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rand_device='cuda'
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)
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image.save("image_2.jpg")
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