| import torch |
| from diffsynth.pipelines.flux_image import FluxImagePipeline, ModelConfig |
| from PIL import Image |
| from modelscope import dataset_snapshot_download |
|
|
| 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-Fill-dev", origin_file_pattern="flux1-fill-dev.safetensors", **vram_config), |
| ModelConfig(model_id="black-forest-labs/FLUX.1-Fill-dev", origin_file_pattern="text_encoder/model.safetensors", **vram_config), |
| ModelConfig(model_id="black-forest-labs/FLUX.1-Fill-dev", origin_file_pattern="text_encoder_2/*.safetensors", **vram_config), |
| ModelConfig(model_id="black-forest-labs/FLUX.1-Fill-dev", origin_file_pattern="ae.safetensors", **vram_config), |
| ], |
| vram_limit=torch.cuda.mem_get_info("cuda")[1] / (1024 ** 3) - 0.5, |
| ) |
|
|
| dataset_snapshot_download( |
| dataset_id="HuanJue/example_dataset", |
| local_dir="./", |
| allow_file_pattern=f"FLUX.1-Fill-dev/*", |
| ) |
|
|
| flux_fill_image = Image.open("FLUX.1-Fill-dev/cup.png").convert("RGB") |
| flux_fill_mask = Image.open("FLUX.1-Fill-dev/cup_mask.png").convert("L") |
| prompt = "a white paper cup" |
| image = pipe(prompt=prompt, flux_fill_image=flux_fill_image, flux_fill_mask=flux_fill_mask, height=1632, width=1232, seed=0, embedded_guidance=30.0, num_inference_steps=50) |
|
|
| image.save("image_FLUX.1-Fill-dev.jpg") |
|
|
