| import torch |
| from diffsynth.pipelines.flux_image import FluxImagePipeline, ModelConfig |
| 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/*.safetensors"), |
| ModelConfig(model_id="black-forest-labs/FLUX.1-dev", origin_file_pattern="ae.safetensors"), |
| ModelConfig(model_id="black-forest-labs/FLUX.1-Redux-dev", origin_file_pattern="image_encoder/model.safetensors"), |
| ModelConfig(model_id="black-forest-labs/FLUX.1-Redux-dev", origin_file_pattern="image_embedder/diffusion_pytorch_model.safetensors"), |
| ], |
| ) |
| pipe.load_lora(pipe.dit, "models/train/FLUX.1-Redux-dev_lora/epoch-0.safetensors", alpha=1) |
|
|
| image = pipe( |
| flux_redux_image=Image.open("data/diffsynth_example_dataset/flux/FLUX.1-Redux-dev/robot.png").convert("RGB"), |
| embedded_guidance=2.5, num_inference_steps=50, seed=0, |
| ) |
| image.save("image_FLUX.1-Redux-dev_lora.jpg") |
|
|
