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...
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! # Using multiple LoRAs with different scaling factors. lora_dirs = ["lora1.safetensors", "lora2.safet...
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...
pipe.to("cuda") pipe.load_lora_weights("e:/diffusion-models/Lora/test16/woman_young_64rank.safetensors") pipe.fuse_lora(lora_scale=0.85) got error. this is error information Copy link ContributorAuthor SlZerothcommentedMar 14, 2024
... ).to(device)# 加载 LORA 权重>>> pipe.load_lora_weights(lora_adapter_id, adapter_name="motion_lora")# 融合 LORA 权重,设置比例为 1.0>>> pipe.fuse_lora(lora_scale=1.0)# 定义生成图像的提示词>>> prompt ="an aerial view of a cyberpunk city, night time, neon lights, masterpiece...
pipeline.unload_lora_weights() 如果只想临时禁用或启用 LoRA 的话,还可以使用pipe.disable_lora()orpipe.enable_lora()方法。 加载/融合多个LoRA 有时候,同时使用多个 LoRA 可以创造出一些全新的、有趣的结果。fuse_lora()可以将 LoRA 权重与底模的原始权重融合起来。
Upcoming Tests: I will also test if dynamic weights work correctly together. also will change all All filenames from FF100 to 176 with be shortened by the by the number to make this: pipe.load_lora_weights("FFusion/400GB-LoraXL", weight_name="FF.98.sdxlYamersRealism_version2.lora.saf...
- [`~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...
lora_path = "D:/ai/models/sdxl/lora/sdxl_glass.safetensors" pipe.load_lora_weights(lora_path,from_diffusers=True) 四、启动绘画服务 在调用绘画服务之前,请按照以下步骤进行操作: ❗️❗️❗️❗️❗️❗️❗️❗️❗️❗️ 新建打开终端 cmd 打开您的命令行终端(...
pipe.load_lora_weights( "data/data288051/极简线条-一笔画_v1.0.safetensors", lora_scale = , from_diffusers=True) pipe.fuse_lora() pipe.to("gpu") 3.2 编写提示词绘制形象原图 In [40] import uuid from PIL import Image import numpy as np import cv2 def generate_and_extract_image(user_inp...