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from diffsynth import ModelManager, SD3ImagePipeline, download_models |
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import torch |
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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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