| from diffsynth.pipelines.flux2_image import Flux2ImagePipeline, ModelConfig |
| import torch |
|
|
|
|
| vram_config = { |
| "offload_dtype": torch.bfloat16, |
| "offload_device": "cpu", |
| "onload_dtype": torch.bfloat16, |
| "onload_device": "cuda", |
| "preparing_dtype": torch.bfloat16, |
| "preparing_device": "cuda", |
| "computation_dtype": torch.bfloat16, |
| "computation_device": "cuda", |
| } |
| pipe = Flux2ImagePipeline.from_pretrained( |
| torch_dtype=torch.bfloat16, |
| device="cuda", |
| model_configs=[ |
| ModelConfig(model_id="black-forest-labs/FLUX.2-dev", origin_file_pattern="text_encoder/*.safetensors", **vram_config), |
| ModelConfig(model_id="black-forest-labs/FLUX.2-dev", origin_file_pattern="transformer/*.safetensors", **vram_config), |
| ModelConfig(model_id="black-forest-labs/FLUX.2-dev", origin_file_pattern="vae/diffusion_pytorch_model.safetensors", **vram_config), |
| ], |
| tokenizer_config=ModelConfig(model_id="black-forest-labs/FLUX.2-dev", origin_file_pattern="tokenizer/"), |
| ) |
| prompt = "Realistic macro photograph of a hermit crab using a soda can as its shell, partially emerging from the can, captured with sharp detail and natural colors, on a sunlit beach with soft shadows and a shallow depth of field, with blurred ocean waves in the background. The can has the text `BFL Diffusers` on it and it has a color gradient that start with #FF5733 at the top and transitions to #33FF57 at the bottom." |
| image = pipe(prompt, seed=42, rand_device="cuda", num_inference_steps=50) |
| image.save("image_FLUX.2-dev.jpg") |
|
|
