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34 lines
1.3 KiB
Python
34 lines
1.3 KiB
Python
from diffsynth import ModelManager, SD3ImagePipeline, download_models
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import torch
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# Download models (automatically)
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# `models/stable_diffusion_3/sd3_medium_incl_clips.safetensors`: [link](https://huggingface.co/stabilityai/stable-diffusion-3-medium/resolve/main/sd3_medium_incl_clips.safetensors)
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download_models(["StableDiffusion3_without_T5"])
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model_manager = ModelManager(torch_dtype=torch.float16, device="cuda",
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file_path_list=["models/stable_diffusion_3/sd3_medium_incl_clips.safetensors"])
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pipe = SD3ImagePipeline.from_model_manager(model_manager)
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prompt = "masterpiece, best quality, solo, long hair, wavy hair, silver hair, blue eyes, blue dress, medium breasts, dress, underwater, air bubble, floating hair, refraction, portrait,"
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negative_prompt = "worst quality, low quality, monochrome, zombie, interlocked fingers, Aissist, cleavage, nsfw,"
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torch.manual_seed(7)
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image = pipe(
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prompt=prompt,
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negative_prompt=negative_prompt,
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cfg_scale=7.5,
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num_inference_steps=100, width=1024, height=1024,
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)
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image.save("image_1024.jpg")
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image = pipe(
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prompt=prompt,
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negative_prompt=negative_prompt,
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cfg_scale=7.5,
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input_image=image.resize((2048, 2048)), denoising_strength=0.5,
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num_inference_steps=50, width=2048, height=2048,
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tiled=True
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)
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image.save("image_2048.jpg")
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