| import torch |
| from PIL import Image |
| from diffsynth.pipelines.flux_image_new import FluxImagePipeline, ModelConfig |
|
|
| pipe = FluxImagePipeline.from_pretrained( |
| torch_dtype=torch.bfloat16, |
| device="cuda", |
| model_configs=[ |
| ModelConfig(model_id="DiffSynth-Studio/Nexus-GenV2", origin_file_pattern="model*.safetensors"), |
| ModelConfig(model_id="DiffSynth-Studio/Nexus-GenV2", origin_file_pattern="edit_decoder.bin"), |
| ModelConfig(model_id="black-forest-labs/FLUX.1-dev", origin_file_pattern="text_encoder/model.safetensors"), |
| ModelConfig(model_id="black-forest-labs/FLUX.1-dev", origin_file_pattern="text_encoder_2/"), |
| ModelConfig(model_id="black-forest-labs/FLUX.1-dev", origin_file_pattern="ae.safetensors"), |
| ], |
| ) |
| pipe.load_lora(pipe.dit, "models/train/FLUX.1-NexusGen-Edit_lora/epoch-4.safetensors", alpha=1) |
|
|
| ref_image = Image.open("data/example_image_dataset/nexus_gen/image_1.png").convert("RGB") |
| prompt = "Add a pair of sunglasses." |
| image = pipe( |
| prompt=prompt, negative_prompt="", |
| seed=42, cfg_scale=1.0, num_inference_steps=50, |
| nexus_gen_reference_image=ref_image, |
| height=512, width=512, |
| ) |
| image.save("NexusGen-Edit_lora.jpg") |
|
|
