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mi804
2026-04-23 17:35:24 +08:00
parent 5c89a15b9a
commit 82e482286c
14 changed files with 3274 additions and 1 deletions
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examples/stable_diffusion/model_inference_low_vram/StableDiffusion-T2I.py Normal file
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import torch
from diffsynth.core import ModelConfig
from diffsynth.pipelines.stable_diffusion import StableDiffusionPipeline
vram_config = {
"offload_dtype": torch.float32,
"offload_device": "cpu",
"onload_dtype": torch.float32,
"onload_device": "cpu",
"preparing_dtype": torch.float32,
"preparing_device": "cuda",
"computation_dtype": torch.float32,
"computation_device": "cuda",
}
pipe = StableDiffusionPipeline.from_pretrained(
torch_dtype=torch.float32,
model_configs=[
ModelConfig(model_id="AI-ModelScope/stable-diffusion-v1-5", origin_file_pattern="text_encoder/model.safetensors", **vram_config),
ModelConfig(model_id="AI-ModelScope/stable-diffusion-v1-5", origin_file_pattern="unet/diffusion_pytorch_model.safetensors", **vram_config),
ModelConfig(model_id="AI-ModelScope/stable-diffusion-v1-5", origin_file_pattern="vae/diffusion_pytorch_model.safetensors", **vram_config),
],
tokenizer_config=ModelConfig(model_id="AI-ModelScope/stable-diffusion-v1-5", origin_file_pattern="tokenizer/"),
vram_limit=torch.cuda.mem_get_info("cuda")[1] / (1024 ** 3) - 0.5,
)
image = pipe(
prompt="a photo of an astronaut riding a horse on mars",
negative_prompt="",
cfg_scale=7.5,
height=512,
width=512,
seed=42,
num_inference_steps=50,
)
image.save("output_stable_diffusion_t2i_low_vram.png")
print("Image saved to output_stable_diffusion_t2i_low_vram.png")