| import torch |
| from diffsynth.pipelines.flux_image import FluxImagePipeline, ModelConfig |
|
|
|
|
| vram_config = { |
| "offload_dtype": torch.float8_e4m3fn, |
| "offload_device": "cpu", |
| "onload_dtype": torch.float8_e4m3fn, |
| "onload_device": "cpu", |
| "preparing_dtype": torch.float8_e4m3fn, |
| "preparing_device": "cuda", |
| "computation_dtype": torch.bfloat16, |
| "computation_device": "cuda", |
| } |
| 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", **vram_config), |
| ModelConfig(model_id="black-forest-labs/FLUX.1-dev", origin_file_pattern="text_encoder/model.safetensors", **vram_config), |
| ModelConfig(model_id="black-forest-labs/FLUX.1-dev", origin_file_pattern="text_encoder_2/*.safetensors", **vram_config), |
| ModelConfig(model_id="black-forest-labs/FLUX.1-dev", origin_file_pattern="ae.safetensors", **vram_config), |
| ModelConfig(model_id="DiffSynth-Studio/LoRAFusion-preview-FLUX.1-dev", origin_file_pattern="model.safetensors", **vram_config), |
| ], |
| vram_limit=torch.cuda.mem_get_info("cuda")[1] / (1024 ** 3) - 0.5, |
| ) |
| pipe.enable_lora_merger() |
|
|
| pipe.load_lora( |
| pipe.dit, |
| ModelConfig(model_id="cancel13/cxsk", origin_file_pattern="30.safetensors"), |
| ) |
| pipe.load_lora( |
| pipe.dit, |
| ModelConfig(model_id="DiffSynth-Studio/ArtAug-lora-FLUX.1dev-v1", origin_file_pattern="merged_lora.safetensors"), |
| ) |
| image = pipe(prompt="a cat", seed=0) |
| image.save("image_fused.jpg") |
|
|
