| from diffsynth.diffusion.template import TemplatePipeline |
| from diffsynth.pipelines.flux2_image import Flux2ImagePipeline, ModelConfig |
| import torch |
|
|
| pipe = Flux2ImagePipeline.from_pretrained( |
| torch_dtype=torch.bfloat16, |
| device="cuda", |
| model_configs=[ |
| ModelConfig(model_id="black-forest-labs/FLUX.2-klein-base-4B", origin_file_pattern="transformer/*.safetensors"), |
| ModelConfig(model_id="black-forest-labs/FLUX.2-klein-4B", origin_file_pattern="text_encoder/*.safetensors"), |
| ModelConfig(model_id="black-forest-labs/FLUX.2-klein-4B", origin_file_pattern="vae/diffusion_pytorch_model.safetensors"), |
| ], |
| tokenizer_config=ModelConfig(model_id="black-forest-labs/FLUX.2-klein-4B", origin_file_pattern="tokenizer/"), |
| ) |
| template = TemplatePipeline.from_pretrained( |
| torch_dtype=torch.bfloat16, |
| device="cuda", |
| model_configs=[ModelConfig(model_id="DiffSynth-Studio/Template-KleinBase4B-Sharpness")], |
| ) |
| image = template( |
| pipe, |
| prompt="A cat is sitting on a stone.", |
| seed=0, cfg_scale=4, num_inference_steps=50, |
| template_inputs = [{"scale": 0.1}], |
| negative_template_inputs = [{"scale": 0.5}], |
| ) |
| image.save("image_Sharpness_0.1.jpg") |
| image = template( |
| pipe, |
| prompt="A cat is sitting on a stone.", |
| seed=0, cfg_scale=4, num_inference_steps=50, |
| template_inputs = [{"scale": 0.8}], |
| negative_template_inputs = [{"scale": 0.5}], |
| ) |
| image.save("image_Sharpness_0.8.jpg") |
|
|
