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35 lines
1.0 KiB
Python
35 lines
1.0 KiB
Python
import torch
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from diffsynth import download_models, ModelManager, OmostPromter, FluxImagePipeline
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download_models(["OmostPrompt"])
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download_models(["FLUX.1-dev"])
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model_manager = ModelManager(torch_dtype=torch.bfloat16)
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model_manager.load_models([
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"models/OmostPrompt/omost-llama-3-8b-4bits",
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"models/FLUX/FLUX.1-dev/text_encoder/model.safetensors",
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"models/FLUX/FLUX.1-dev/text_encoder_2",
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"models/FLUX/FLUX.1-dev/ae.safetensors",
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"models/FLUX/FLUX.1-dev/flux1-dev.safetensors"
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])
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pipe_omost = FluxImagePipeline.from_model_manager(model_manager, prompt_extender_classes=[OmostPromter])
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pipe = FluxImagePipeline.from_model_manager(model_manager)
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prompt = "A witch uses ice magic to fight against wild beasts"
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seed = 7
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torch.manual_seed(seed)
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image = pipe_omost(
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prompt=prompt,
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num_inference_steps=30, embedded_guidance=3.5
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)
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image.save(f"image_omost.jpg")
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torch.manual_seed(seed)
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image2= pipe(
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prompt=prompt,
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num_inference_steps=30, embedded_guidance=3.5
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)
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image2.save(f"image.jpg") |