| import torch |
| from diffsynth.pipelines.flux_image_new import FluxImagePipeline, ModelConfig |
|
|
| |
| 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="DiffSynth-Studio/LoRAFusion-preview-FLUX.1-dev", origin_file_pattern="model.safetensors"), |
| ], |
| ) |
| pipe.enable_lora_magic() |
|
|
| pipe.load_lora( |
| pipe.dit, |
| ModelConfig(model_id="cancel13/cxsk", origin_file_pattern="30.safetensors"), |
| hotload=True, |
| ) |
| pipe.load_lora( |
| pipe.dit, |
| ModelConfig(model_id="DiffSynth-Studio/ArtAug-lora-FLUX.1dev-v1", origin_file_pattern="merged_lora.safetensors"), |
| hotload=True, |
| ) |
| image = pipe(prompt="a cat", seed=0) |
| image.save("image_fused.jpg") |
|
|
