而module的初始数据类型则往往是from_pretrained方法来定义的:即pipeline.from_pretrained(torch_dtype=torch.float16/float32)。 2. 人工设置参数 经常玩pipeline的朋友可能会手动设置pipeline中的模块,即在pipeline.from_pretrained的时候对模块进行手动赋值,但是这种做法就带来了一个问题,有可能导致pipeline中的数据类型不...
import torch from diffusers import StableDiffusion3Pipeline pipe = StableDiffusion3Pipeline.from_single_file( r"sd3_medium_incl_clips_t5xxlfp8.safetensors", torch_dtype=torch.float16, ) pipe.enable_model_cpu_offload() image = pipe("a picture of a cat holding a sign that says hello world"...
from diffusers import StableDiffusionPipeline pipeline = StableDiffusionPipeline.from_ckpt( 'https://huggingface.co/gsdf/Counterfeit-V3.0/blob/main/Counterfeit-V3.0_fp16.safetensors', ) Logs RuntimeError: Error(s) in loading state_dict for AutoencoderKL: Missing key(s) in state_dict: "encoder...
我遇到了同样的事情，并逐步通过代码一点，这实际上是不那么令人生畏的，因为它似乎最初。这是我发现：...
Stable Diffusion是一个latent diffusion model。Latent diffusion model并不需要学习图片数据集分布p(x),而是学习用Variational Autoencoder编码图片后的latent representation分布。因为编码后的latent representation大小变成64x64,而不是原来图片512x512大小,因此就能降低计算量。What...
This repository introduces a new diffusers pipeline,MarigoldPipeline, which makes applying Marigold easy: ## load model from Marigold.marigold import MarigoldPipeline pipe = MarigoldPipeline.from_pretrained("Bingxin/Marigold") ## apply to first sample, as example ...
from diffusers import DiffusionPipeline repo_id = "WarriorMama777/OrangeMixs" pipe = DiffusionPipeline.from_pretrained(repo_id, weight_name="Models/AbyssOrangeMix/AbyssOrangeMix.safetensors") Like before, repo_id could either be an actual repo id on the Hub or a local directory. weight_name ...
we will generate an image of a bear eating pizza using Stable Diffusion with the IP-Adapter ```python from diffusers import DiffusionPipeline, StableDiffusionSAGPipeline import torch import gc from diffusers.utils import load_image from accelerate.utils import compute_module_sizes base_repo = "SG16...
from diffusers.pipelines.stable_diffusion import StableDiffusionPipeline# create and move model to GPU(s), defaults to GPU 0 @@ -42,37 +41,48 @@ requires_safety_checker=False, )model_ass = None # single-gpu multiple models currently disabled ...
fromdiffusersimportDiffusionPipelineimporttorchpipe=DiffusionPipeline.from_pretrained("comin/IterComp",torch_dtype=torch.float16,use_safetensors=True)pipe.to("cuda")# if using torch < 2.0# pipe.enable_xformers_memory_efficient_attention()prompt="An astronaut riding a green horse"image=pipe(prompt=...