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...
My trained lora is here. It only finetunes the unet backbone. When I use flux_pipe.load_lora_weights('./lora/', weight_name='dog_and_cat_special_key.safetensors'), it doesn't take effect. I debug the code, inside the load_lora_weights me...
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...
... ).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,...
- [`~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...
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...
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。
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(lcm_lora_id) pipe.scheduler = LCMScheduler.from_config(pipe.scheduler.config) pipe.enable_model_cpu_offload() prompt = "best quality, high quality" image = load_image("https://user-images.githubusercontent.com/24734142/266492875-2d50d223-8475-44f0-a7c6-08b51cb53572...
pipe.load_lora_weights(lcm_lora_id) pipe.scheduler = LCMScheduler.from_config(pipe.scheduler.config) prompt = "close-up photography of old man standing in the rain at night, in a street lit by lamps, leica 35mm summilux" image = pipe( ...