| from diffsynth.pipelines.anima_image import AnimaImagePipeline, ModelConfig | |
| import torch | |
| pipe = AnimaImagePipeline.from_pretrained( | |
| torch_dtype=torch.bfloat16, | |
| device="cuda", | |
| model_configs=[ | |
| ModelConfig(model_id="circlestone-labs/Anima", origin_file_pattern="split_files/diffusion_models/anima-preview.safetensors"), | |
| ModelConfig(model_id="circlestone-labs/Anima", origin_file_pattern="split_files/text_encoders/qwen_3_06b_base.safetensors"), | |
| ModelConfig(model_id="circlestone-labs/Anima", origin_file_pattern="split_files/vae/qwen_image_vae.safetensors"), | |
| ], | |
| tokenizer_config=ModelConfig(model_id="Qwen/Qwen3-0.6B", origin_file_pattern="./"), | |
| tokenizer_t5xxl_config=ModelConfig(model_id="stabilityai/stable-diffusion-3.5-large", origin_file_pattern="tokenizer_3/") | |
| ) | |
| pipe.load_lora(pipe.dit, './models/train/anima-preview_split/epoch-4.safetensors') | |
| prompt = "a dog" | |
| image = pipe(prompt=prompt, seed=0) | |
| image.save('split_training_anima-preview.jpg') |