| import torch |
| from diffsynth.pipelines.flux_image_new import FluxImagePipeline, ModelConfig, ControlNetInput |
| from PIL import Image |
|
|
|
|
| pipe = FluxImagePipeline.from_pretrained( |
| torch_dtype=torch.bfloat16, |
| device="cuda", |
| model_configs=[ |
| ModelConfig(model_id="black-forest-labs/FLUX.1-dev", origin_file_pattern="flux1-dev.safetensors"), |
| 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"), |
| ModelConfig(model_id="ByteDance/InfiniteYou", origin_file_pattern="infu_flux_v1.0/aes_stage2/image_proj_model.bin"), |
| ModelConfig(model_id="ByteDance/InfiniteYou", origin_file_pattern="infu_flux_v1.0/aes_stage2/InfuseNetModel/*.safetensors"), |
| ], |
| ) |
| pipe.load_lora(pipe.dit, "models/train/FLUX.1-dev-InfiniteYou_lora/epoch-4.safetensors", alpha=1) |
|
|
| image = pipe( |
| prompt="a man with a red hat", |
| controlnet_inputs=[ControlNetInput( |
| image=Image.open("data/example_image_dataset/infiniteyou/image_1.jpg"), |
| )], |
| height=1024, width=1024, |
| seed=0, rand_device="cuda", |
| ) |
| image.save("image_FLUX.1-dev-InfiniteYou_lora.jpg") |
|
|
