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sdxl pipeline

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mi804
2026-04-23 19:39:05 +08:00
parent 9453700a30
commit a8a0f082bb
4 changed files with 406 additions and 1 deletions
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27
examples/stable_diffusion_xl/model_inference/StableDiffusionXL-T2I.py Normal file
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import torch
from diffsynth.core import ModelConfig
from diffsynth.pipelines.stable_diffusion_xl import StableDiffusionXLPipeline
pipe = StableDiffusionXLPipeline.from_pretrained(
torch_dtype=torch.float32,
model_configs=[
ModelConfig(model_id="AI-ModelScope/stable-diffusion-xl-base-1.0", origin_file_pattern="text_encoder/model.safetensors"),
ModelConfig(model_id="AI-ModelScope/stable-diffusion-xl-base-1.0", origin_file_pattern="text_encoder_2/model.safetensors"),
ModelConfig(model_id="AI-ModelScope/stable-diffusion-xl-base-1.0", origin_file_pattern="unet/diffusion_pytorch_model.safetensors"),
ModelConfig(model_id="AI-ModelScope/stable-diffusion-xl-base-1.0", origin_file_pattern="vae/diffusion_pytorch_model.safetensors"),
],
tokenizer_config=ModelConfig(model_id="AI-ModelScope/stable-diffusion-xl-base-1.0", origin_file_pattern="tokenizer/"),
tokenizer_2_config=ModelConfig(model_id="AI-ModelScope/stable-diffusion-xl-base-1.0", origin_file_pattern="tokenizer_2/"),
)
image = pipe(
prompt="a photo of an astronaut riding a horse on mars",
negative_prompt="",
cfg_scale=5.0,
height=1024,
width=1024,
seed=42,
num_inference_steps=50,
)
image.save("output_stable_diffusion_xl_t2i.png")
print("Image saved to output_stable_diffusion_xl_t2i.png")

39
examples/stable_diffusion_xl/model_inference_low_vram/StableDiffusionXL-T2I.py Normal file
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import torch
from diffsynth.core import ModelConfig
from diffsynth.pipelines.stable_diffusion_xl import StableDiffusionXLPipeline
vram_config = {
"offload_dtype": torch.bfloat16,
"offload_device": "cpu",
"onload_dtype": torch.bfloat16,
"onload_device": "cpu",
"preparing_dtype": torch.bfloat16,
"preparing_device": "cuda",
"computation_dtype": torch.bfloat16,
"computation_device": "cuda",
}
pipe = StableDiffusionXLPipeline.from_pretrained(
torch_dtype=torch.float32,
model_configs=[
ModelConfig(model_id="AI-ModelScope/stable-diffusion-xl-base-1.0", origin_file_pattern="text_encoder/model.safetensors", **vram_config),
ModelConfig(model_id="AI-ModelScope/stable-diffusion-xl-base-1.0", origin_file_pattern="text_encoder_2/model.safetensors", **vram_config),
ModelConfig(model_id="AI-ModelScope/stable-diffusion-xl-base-1.0", origin_file_pattern="unet/diffusion_pytorch_model.safetensors", **vram_config),
ModelConfig(model_id="AI-ModelScope/stable-diffusion-xl-base-1.0", origin_file_pattern="vae/diffusion_pytorch_model.safetensors", **vram_config),
],
tokenizer_config=ModelConfig(model_id="AI-ModelScope/stable-diffusion-xl-base-1.0", origin_file_pattern="tokenizer/"),
tokenizer_2_config=ModelConfig(model_id="AI-ModelScope/stable-diffusion-xl-base-1.0", origin_file_pattern="tokenizer_2/"),
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=5.0,
height=1024,
width=1024,
seed=42,
num_inference_steps=50,
)
image.save("output_stable_diffusion_xl_t2i_low_vram.png")
print("Image saved to output_stable_diffusion_xl_t2i_low_vram.png")