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