| import torch | |
| from diffsynth.pipelines.flux_image_new import FluxImagePipeline, ModelConfig | |
| from diffsynth import load_state_dict | |
| pipe = FluxImagePipeline.from_pretrained( | |
| torch_dtype=torch.bfloat16, | |
| device="cuda", | |
| model_configs=[ | |
| ModelConfig(model_id="black-forest-labs/FLUX.1-Krea-dev", origin_file_pattern="flux1-krea-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"), | |
| ], | |
| ) | |
| state_dict = load_state_dict("models/train/FLUX.1-Krea-dev_full/epoch-0.safetensors") | |
| pipe.dit.load_state_dict(state_dict) | |
| image = pipe(prompt="a dog", seed=0) | |
| image.save("image_FLUX.1-Krea-dev_full.jpg") | |