torch.cuda.OutOfMemoryError: CUDA out of memory. Tried to allocate 20.00 MiB. GPU 0 has a total capacity of 8.00 GiB of which 0 bytes is free. Of the allocated memory 6.18 GiB is allocated by PyTorch, and 200.07 MiB is reserved by PyTorch but unallocated. If reserved but unallocated ...
3060的本,用SD..显示信息如下:OutOfMemoryError: CUDA out of memory. Tried to allocate 26.00 MiB (GPU 0; 6.00 GiB total capa
#此处为新加配置,改动任何配置文件需要备份,一次性不要改动多处!!!setPYTORCH_CUDA_ALLOC_CONF=max_split_size_mb:32setPYTHON=setGIT=setVENV_DIR=setCOMMANDLINE_ARGS=call webui.bat 4.4借助优化工具优化显存 推荐process lasso 删除缓存文件 1.把视频转为帧:一键切帧 切帧工具我发给你 2.图生图选择合适的s...
1.把视频转为帧:一键切帧 切帧工具我发给你 2.图生图选择合适的seed 3.转到mov2mov,调整参数,controlnet,步数,重绘幅度 3.解决手部重绘问题 提示词:hand out of frame 反向:bad hands https://github.com/jexom/sd-webui-depth-lib https://upscale.wiki/wiki/Model_Database 链接:https://pan.baidu.c...
=== Diagnostic Run torch.onnx.export version 2.0.1+cu118 === verbose: False, log level: Level.ERROR === 0 NONE 0 NOTE 0 WARNING 0 ERROR === ERROR:root:CUDA out of memory. Tried to allocate 50.00 MiB (GPU 0; 23.65 GiB total capacity; 21.71 GiB already allocated; 66.00 MiB free...
Is there an existing issue for this? I have searched the existing issues and checked the recent builds/commits What would your feature do ? hi i'm big fan of sd webui but i'm now using comfy ui because "cuda out of memory" which is not a...
to("cuda") text_tokenizer = CLIPTokenizer.from_pretrained("/本地路径/stable-diffusion-xl-base-1.0", subfolder="tokenizer") # 将输入SDXL模型的prompt进行tokenize,得到对应的token ids特征 prompt = "1girl,beautiful" text_token_ids = text_tokenizer( prompt, padding="max_length", max_length=...
float16).to('cuda') pipe.enable_xformers_memory_efficient_attention() source_image = load_image('https://huggingface.co/lllyasviel/control_v11f1e_sd15_tile/resolve/main/images/original.png') condition_image = resize_for_condition_image(source_image, 1024) image = pipe(prompt="best ...
# generate.pyfromdiffusersimportDiffusionPipelineimporttorchmodel_path="sdxl-lora/checkpoint-1000"# 根据自己设置的训练策略找到保存权重的checkpoint文件夹pipe=DiffusionPipeline.from_pretrained("stabilityai/stable-diffusion-xl-base-1.0",torch_dtype=torch.float16)pipe.to("cuda")pipe.load_lora_weights(model_...
DiffusionXLAdapterPipeline.from_pretrained( model_id, vae=vae, adapter=adapter, scheduler=euler_a, torch_dtype=torch.float16, variant="fp16", ).to("cuda") pipe.enable_xformers_memory_efficient_attention() line_detector = LineartDetector.from_pretrained("lllyasviel/Annotators").to("cuda") ...