>>>fromdiffusers.utilsimportload_image# 定义生成深度提示的函数>>>defmake_hint(image, depth_estimator):# 使用深度估计器获取图像的深度信息... image = depth_estimator(image)["depth"]# 将深度信息转换为 NumPy 数组... image = np.array(image)# 为深度图像增加一个维度... image = image[:, :,...
则抛出异常iflen(state_dict) >0:raiseValueError("At this point all state dict entries have to be converted.")# 返回新的状态字典returnnew_state_dict# 将非 Diffusers 格式的 LoRA 状态字典转换为兼容 Diffusers 格式的状态字典def_convert_non_diffusers_lora_to_diffusers...
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...
Lora的参数比较小,部署只需要 dream_lora_outputs文件夹里的paddle_lora_weights.pdparams拷贝到Gradio_packages文件夹里(右键文件复制粘贴即可) 进入Gradio_packages/main_lora.gradio.py 修改14行中的预训练模型为上面使用的模型,修改40-50行关于模型的介绍文本 在Gradio_packages/main.gradio.py编辑页面上的几个按钮...
To use both UNet and text encoder related LoRA params, use [`pipe.load_lora_weights()`](https://huggingface.co/docs/diffusers/main/en/api/loaders#diffusers.loaders.LoraLoaderMixin.load_lora_weights)." logger.warn(warn_message) logger.warning(warn_message) unet_keys = [k for k in state_...
By enabling `--train_text_encoder`, LoRA fine-tuning of both **CLIP encoders** is performed. At the moment, T5 fine-tuning is not supported and weights remain frozen when text encoder training is enabled. To perform DreamBooth LoRA with text-encoder training, run: ```bash @@ -185,4...
pipe.load_lora_weights("guoyww/animatediff-motion-lora-zoom-out", adapter_name="zoom-out") scheduler = DDIMScheduler.from_pretrained( model_id, subfolder="scheduler", clip_sample=False, timestep_spacing="linspace", steps_offset=1 )
pipe.load_ip_adapter("h94/IP-Adapter", subfolder="models", weight_name="ip-adapter_sd15.bin") pipe.load_lora_weights(lcm_lora_id) pipe.scheduler = LCMScheduler.from_config(pipe.scheduler.config) pipe.enable_model_cpu_offload()
动态加载Lora 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 = "....
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...