mirror of
https://github.com/modelscope/DiffSynth-Studio.git
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58 lines
2.5 KiB
Python
58 lines
2.5 KiB
Python
import torch
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from diffsynth import ModelManager, FluxImagePipeline, download_customized_models
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from examples.EntityControl.utils import visualize_masks
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from PIL import Image
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import requests
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from io import BytesIO
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# download and load model
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lora_path = download_customized_models(
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model_id="DiffSynth-Studio/Eligen",
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origin_file_path="model_bf16.safetensors",
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local_dir="models/lora/entity_control"
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)[0]
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model_manager = ModelManager(torch_dtype=torch.bfloat16, device="cuda", model_id_list=["FLUX.1-dev"])
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model_manager.load_lora(lora_path, lora_alpha=1.)
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pipe = FluxImagePipeline.from_model_manager(model_manager)
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# prepare inputs
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image_shape = 1024
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seed = 4
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# set True to apply regional attention in negative prompt prediction for better results with more time
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use_seperated_negtive_prompt = False
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mask_urls = [
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'https://github.com/user-attachments/assets/02905f6e-40c2-4482-9abe-b1ce50ccabbf',
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'https://github.com/user-attachments/assets/a4cf4361-abf7-4556-ba94-74683eda4cb7',
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'https://github.com/user-attachments/assets/b6595ff4-7269-4d8f-acf0-5df40bd6c59f',
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'https://github.com/user-attachments/assets/941d39a7-3aa1-437f-8b2a-4adb15d2fb3e',
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'https://github.com/user-attachments/assets/400c4086-5398-4291-b1b5-22d8483c08d9',
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'https://github.com/user-attachments/assets/ce324c77-fa1d-4aad-a5cb-698f0d5eca70',
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'https://github.com/user-attachments/assets/4e62325f-a60c-44f7-b53b-6da0869bb9db'
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]
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# prepare entity masks, entity prompts, global prompt and negative prompt
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masks = []
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for url in mask_urls:
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response = requests.get(url)
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mask = Image.open(BytesIO(response.content)).resize((image_shape, image_shape), resample=Image.NEAREST)
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masks.append(mask)
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entity_prompts = ["A beautiful woman", "mirror", "necklace", "glasses", "earring", "white dress", "jewelry headpiece"]
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global_prompt = "A beautiful woman wearing white dress, holding a mirror, with a warm light background;"
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negative_prompt = "worst quality, low quality, monochrome, zombie, interlocked fingers, Aissist, cleavage, nsfw"
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# generate image
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torch.manual_seed(seed)
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image = pipe(
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prompt=global_prompt,
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cfg_scale=3.0,
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negative_prompt=negative_prompt,
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num_inference_steps=50,
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embedded_guidance=3.5,
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height=image_shape,
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width=image_shape,
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entity_prompts=entity_prompts,
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entity_masks=masks,
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use_seperated_negtive_prompt=use_seperated_negtive_prompt,
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)
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image.save(f"entity_control.png")
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visualize_masks(image, masks, entity_prompts, f"entity_control_with_mask.png")
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