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import torch |
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from PIL import Image |
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from diffsynth.pipelines.flux_image_new import FluxImagePipeline, ModelConfig |
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pipe = FluxImagePipeline.from_pretrained( |
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torch_dtype=torch.bfloat16, |
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device="cuda", |
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model_configs=[ |
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ModelConfig(model_id="black-forest-labs/FLUX.1-dev", origin_file_pattern="flux1-dev.safetensors"), |
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ModelConfig(model_id="black-forest-labs/FLUX.1-dev", origin_file_pattern="text_encoder/model.safetensors"), |
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ModelConfig(model_id="black-forest-labs/FLUX.1-dev", origin_file_pattern="text_encoder_2/"), |
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ModelConfig(model_id="black-forest-labs/FLUX.1-dev", origin_file_pattern="ae.safetensors"), |
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], |
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) |
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pipe.load_lora(pipe.dit, "models/train/FLUX.1-dev-EliGen_lora/epoch-4.safetensors", alpha=1) |
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entity_prompts = ["A beautiful girl", "sign 'Entity Control'", "shorts", "shirt"] |
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global_prompt = "A beautiful girl wearing shirt and shorts in the street, holding a sign 'Entity Control'" |
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masks = [Image.open(f"data/example_image_dataset/eligen/{i}.png").convert('RGB') for i in range(len(entity_prompts))] |
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image = pipe( |
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prompt=global_prompt, |
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cfg_scale=1.0, |
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num_inference_steps=50, |
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embedded_guidance=3.5, |
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seed=42, |
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height=1024, |
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width=1024, |
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eligen_entity_prompts=entity_prompts, |
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eligen_entity_masks=masks, |
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) |
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image.save(f"EliGen_lora.png") |
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