load_lora_weights:这个函数的主要目的是加载预训练的LoRA权重。这些权重是在对抗训练过程中学习到的；在...
pipe.load_lora_weights(ldir) # And scale them accordingly. pipe.fuse_lora(lora_scale = lsc) 一旦将检查点和 LoRA 添加到管道中,就可以像往常一样使用提示和负提示生成图像,并可以使用所有其他花哨的功能,例如 CLIP 跳过、调度程序、提示嵌入等! 用于生成以下示例输出的 Python 代码可通过我的 GitHub 存储...
pipeline.load_lora_weights("ostris/ikea-instructions-lora-sdxl")pipeline.fuse_lora(lora_scale=0.7) 如果想要解开融合的 LoRA(比如有时想要重设不同的lora_scale参数、或者想要换一个 LoRA),可以使用unfuse_lora方法: pipeline.unfuse_lora()# 融合一个新的LoRApipeline.load_lora_weights("ostris/super-cer...
torch_dtype=torch.float16,safety_checker=None)pipe=pipe.to("cuda")lora_path="<path/to/lora.safetensors>"pipe.load_lora_weights(lora_path)seed=int.from_bytes(os.urandom(2),"big")generator=torch.Generator("cuda").manual_seed(seed)image=pipe(prompt="(masterpiece),(best quality),(ultra-d...
lora_safetensors_path = "lora.safetensors" pipe.load_lora_weights(lora_safetensors_path 可以将多个 LoRA 加载到管道中,并使用不同的缩放因子来进一步定制模型的输出!缩放因子用于定义每个加载的 LoRA 对最终输出的贡献程度!这允许进行更多定制!
- [`~loaders.StableDiffusionXLLoraLoaderMixin.save_lora_weights`] 用于保存 LoRA 权重 - [`~loaders.IPAdapterMixin.load_ip_adapter`] 用于加载 IP 适配器""" # 定义函数参数的文档字符串,说明每个参数的用途和类型 Args: vae ([`AutoencoderKL`]): # 变分自编码器(VAE)模型,用于将图像编码和解码为潜...
- [`~loaders.StableDiffusionLoraLoaderMixin.load_lora_weights`] 用于加载 LoRA 权重 - [`~loaders.StableDiffusionLoraLoaderMixin.save_lora_weights`] 用于保存 LoRA 权重 - [`~loaders.FromSingleFileMixin.from_single_file`] 用于加载 `.ckpt` 文件 ...
如果需要动态加载C站的Lora,直接在代码中执行pipeline.load_lora_weights(lora_path)是不行的。对于v0.19.2及以上版本,需要用如下方式: 代码语言:txt 复制 from diffusers import DiffusionPipeline pipeline = DiffusionPipeline.from_pretrained( "runwayml/stable-diffusion-v1-5" ) lora_path = "./lora_dir" ...
(lora_scale=0.85) File ~\anaconda3\envs\runpod-dev\lib\site-packages\diffusers\loaders\lora.py:1442, in StableDiffusionXLLoraLoaderMixin.load_lora_weights(self, pretrained_model_name_or_path_or_dict, adapter_name, **kwargs) 1414 """ 1415 Load LoRA weights specified in `pretrained_model_...
To remove the LoRA weights, we will need a negative -α to remove the LoRA weights, or recreate the pipeline. The Monkey-Patching way to load LoRA Another way to use LoRA is patching the code that executes the module forward process, and bringing the LoRA weights during the time of calcu...