Open foreverpiano opened 6 days ago
Which one?
Which one?
从alpha迁移到sigma是不是架构不需要修改的,我看在diffuser库里面,两个代码基本一样,除了sigma少了add_cond_kwargs这个变量(在6.1节)
另外我还想问一下我们可以生成更高分辨率(4k以及大于4K)的图像的吗,如果可以,要在这个script基础上怎么修改呢
from diffusers import Transformer2DModel
from diffusers_patches import pixart_sigma_init_patched_inputs, PixArtSigmaPipeline
import torch
assert getattr(Transformer2DModel, '_init_patched_inputs', False), "Need to Upgrade diffusers: pip install git+https://github.com/huggingface/diffusers"
setattr(Transformer2DModel, '_init_patched_inputs', pixart_sigma_init_patched_inputs)
device = torch.device("cuda:0" if torch.cuda.is_available() else "cpu")
weight_dtype = torch.float16
transformer = Transformer2DModel.from_pretrained(
"PixArt-alpha/PixArt-Sigma-XL-2-1024-MS",
subfolder='transformer',
torch_dtype=weight_dtype,
use_safetensors=True,
)
pipe = PixArtSigmaPipeline.from_pretrained(
"PixArt-alpha/pixart_sigma_sdxlvae_T5_diffusers",
transformer=transformer,
torch_dtype=weight_dtype,
use_safetensors=True,
)
pipe.to(device)
# Enable memory optimizations.
# pipe.enable_model_cpu_offload()
prompt = "A small cactus with a happy face in the Sahara desert."
image = pipe(prompt).images[0]
image.save("./catcus.png")
Is there any guidance on transfering code previously supporting pixart-alpha to support pixart-sigma? @lawrence-cj