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add omost.py + omost_flux_example
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examples/image_synthesis/omost_flux_text_to_image.py
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examples/image_synthesis/omost_flux_text_to_image.py
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import torch
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from diffsynth import download_models,FluxImagePipeline
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from diffsynth.models.model_manager import ModelManager
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from diffsynth.prompters.omost import OmostPromter
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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 = FluxImagePipeline.from_model_manager(model_manager,prompt_extender_classes=[OmostPromter])
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negative_prompt = "dark, worst quality, low quality, monochrome, zombie, interlocked fingers, Aissist, dim, fuzzy, depth of Field, nsfw,"
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image = pipe("generate an image of a witch who is releasing ice and fire magic",
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num_inference_steps=30, embedded_guidance=3.5,
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negative_prompt=negative_prompt)
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image.save("image_omost.jpg")
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