当tensorflow-编译版本等调用cuda时,将会调用系统安装的cuda。 当torch等库调用cuda时,优先选择conda内的版本。 docker不会受到其他影响,可以当作虚拟机用。
则导入 torch_npu 模块ifis_xformers_available():# 检查是否可以使用 xformers 库importxformers# 如果可用,导入 xformers 模块importxformers.ops# 导入 xformers 中的操作模块else:# 如果 xformers 不
weight_dtype = torch.float32 if accelerator.mixed_precision == "fp16": weight_dtype = torch.float16 args.mixed_precision = accelerator.mixed_precision elif accelerator.mixed_precision == "bf16": weight_dtype = torch.bfloat16 args.mixed_precision = accelerator.mixed_precision 函数还会尝试启用xf...
示例以下第一种方式: pipeline = StableDiffusionUpscalePipeline.from_pretrained(model_id, torch_dtype=torch.float16, cache_dir="./models/") 就会在当前目录创建一个models文件,并将下载的模型缓存到该位置。 使用Diffusers进行模型推理 导入Pipeline,from_pretrained()加载模型,可以是本地模型,或从the Hugging F...
conda install pytorch torchvision torchaudio pytorch-cuda=12.1 -c pytorch -c nvidia 此时启动pyTorch的安装,由于相对来说包比较大,会花一点时间。 4. 安装Flax 由于Flax不支持conda install,所以就算在conda虚拟环境下也要用pip install来安装。 pip install flax ...
(1,3,sample_size,sample_size),device="cuda")input=noisefortinscheduler.timesteps:withtorch.no_grad():noisy_residual=model(input,t).sampleprev_noisy_sample=scheduler.step(noisy_residual,t,input).prev_sampleinput=prev_noisy_sampleimage=(input/2+0.5).clamp(0,1)image=image.cpu().permute(0,2...
vae = torch.compile(pipe.vae, mode="reduce-overhead", fullgraph=True) # 核心的视频生成逻辑 def sample( image: Image, seed: Optional[int] = 42, randomize_seed: bool = True, motion_bucket_id: int = 127, fps_id: int = 6, version: str = "svd_xt", cond_aug: float = 0.02, ...
pipe=StableDiffusionPipeline.from_pretrained("emilianJR/chilloutmix_NiPrunedFp32Fix",torch_dtype=torch.float16,safety_checker=None,cache_dir="diffusers-cache").to("cuda")lora_path="<path/to/lora.safetensors>"pipe.load_lora_weights(lora_path) ...
# !pip install diffusers["torch"] transformers from diffusers import DiffusionPipeline device = "cuda" model_id = "CompVis/ldm-text2im-large-256" # load model and scheduler ldm = DiffusionPipeline.from_pretrained(model_id) ldm = ldm.to(device) # run pipeline in inference (sample random no...
"paddlenlp_version": null, "projection_dim": 512, "return_dict": true, "torch_dtype": "float32", "transformers_version": "4.21.0.dev0", "vocab_size": 49408 } [2023-03-23 17:07:17,891] [ INFO] - Found /home/aistudio/.paddlenlp/models/runwayml/stable-diffusion-v1-5/text_enc...