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 存储库中的Text2ImagePipe 类获得。 示例输出如下图所示: 虽
fuse_lora:这个函数的主要目的是将LoRA的权重与原始模型融合。融合的过程通常涉及到将LoRA的权重与原始模...
self.w_down = w_down.cpu()# 更新 LoRA 的缩放因子self.lora_scale = lora_scale# 定义解融合 Lora 的私有方法def_unfuse_lora(self):# 检查 w_up 和 w_down 属性是否存在且不为 Noneifnot(getattr(self,"w_up",None)isnotNoneandgetattr(self,"w_down",None)isnotNone):# 如果任一属性为 None...
则设置替换的键为 "lora_te2_"key_to_replace ="lora_te2_"# 将原始键中的指定键去除,并将下划线替换为点,以形成 diffusers_namediffusers_name = key.replace(key_to_replace
These methods include fuse_lora(), unfuse_lora(), set_adapters(), unload_lora(), disable_lora(), and so on. However, this class is very rigid in the sense that it only applies to the Stable Diffusion family of models. This is because it relies on the unet component of an ...
Merge branch 'main' into support-fuse-lora-sd3 72f2b44 Merge branch 'main' into support-fuse-lora-sd3 2b945b0 sayakpaulmerged commit668e34cintomainJun 20, 2024 18 checks passed sayakpauldeleted thesupport-fuse-lora-sd3branchJune 20, 2024 08:55 ...
from ppdiffusers import StableDiffusionPipeline pipe = StableDiffusionPipeline.from_pretrained("TASUKU2023/Chilloutmix") # 加载lora权重 pipe.load_lora_weights("./", weight_name="Moxin_10.safetensors", from_diffusers=True) pipe.fuse_lora() XFormers加速 为了使用XFormers加速,我们需要安装develop版...
到(“cuda”) pipe.scheduler=LCMScheduler.from_config(pipe.schedulier.config) pipe.load_lora_weights(“潜在一致性/lcm lora sdxl”)管道.fuse_lora() init_image=load_image(“https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/diffusers/inpaint.png“).调整大小((10241024)) ...
fuse_lora(lora_scale) except Exception as e: print("处理lora时发生错误:", e) # 中文prompt翻译成英文 prompt, negative_prompt = tuple(multi_tasks_translate(prompt, negative_prompt)) if int(height)<128 or int(width)<128: width = None height = None if (image is...
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。 将底模和 LoRA 融合起来,可以提高推理生图的速度,因为我们不需要再分别加载...