![\"\"](\"https:\/\/www.starverse-ai.com\/guide\/wp-content\/uploads\/2026\/02\/QQ\u622a\u56fe20260121094818.jpg\")
<\/a><\/figure>\n<\/div>\n\n\n\u663e\u5b58\uff08VRAM\uff09<\/p>\n\n\n\n
\u51b3\u5b9a\u4f60\u80fd\u751f\u6210\u7684\u56fe\u50cf\u5206\u8fa8\u7387\u548c\u6a21\u578b\u5927\u5c0f<\/p>\n\n\n\n
\u4f4e\u4e8e 8GB \u7684\u663e\u5361\u53ea\u80fd\u751f\u6210\u4f4e\u5206\u8fa8\u7387\u56fe\u50cf\u6216\u91cf\u5316\u6a21\u578b<\/p>\n\n\n\n
12GB\u201316GB \u662f\u5e38\u89c4\u521b\u4f5c\u7684\u7406\u60f3\u533a\u95f4<\/p>\n\n\n\n
24GB \u4ee5\u4e0a\u663e\u5361\u53ef\u652f\u6301\u5927\u6a21\u578b\u548c\u9ad8\u5206\u8fa8\u7387\u6279\u91cf\u751f\u6210<\/p>\n\n\n\n
\u8ba1\u7b97\u80fd\u529b\uff08CUDA Core \/ FP32\u6027\u80fd\uff09<\/p>\n\n\n\n
\u51b3\u5b9a\u751f\u6210\u901f\u5ea6<\/p>\n\n\n\n
\u540c\u4e00\u663e\u5b58\u4e0b\uff0c\u6027\u80fd\u8d8a\u5f3a\uff0c\u751f\u6210\u8d8a\u5feb<\/p>\n\n\n\n
\u5e38\u89c1\u9009\u62e9\uff1a<\/p>\n\n\n\n
\u6d88\u8d39\u7ea7\u663e\u5361\uff1aRTX 3060 12GB\u3001RTX 3070\u3001RTX 4070<\/p>\n\n\n\n
\u5de5\u4f5c\u7ad9\u7ea7\u663e\u5361\uff1aRTX 3090\u3001A5000\u3001A6000<\/p>\n\n\n\n
\u663e\u5b58\u662f\u7b2c\u4e00\u8003\u91cf\uff0c\u56e0\u4e3a\u751f\u6210\u9ad8\u5206\u8fa8\u7387\u56fe\u50cf\u65f6\uff0c\u663e\u5b58\u4e0d\u591f\u4f1a\u76f4\u63a5\u62a5\u9519\u3002<\/p>\n\n\n\n
\u4e09\u3001\u73af\u5883\u914d\u7f6e\u6b65\u9aa4<\/p>\n\n\n\n
\u8981\u8ba9 Stable Diffusion \u4f7f\u7528 GPU \u751f\u6210\u56fe\u7247\uff0c\u9700\u8981\u4ee5\u4e0b\u51e0\u4e2a\u6b65\u9aa4\uff1a<\/p>\n\n\n\n
\u5b89\u88c5 GPU \u9a71\u52a8<\/p>\n\n\n\n
NVIDIA \u663e\u5361\u9700\u5b89\u88c5\u6700\u65b0\u7684 CUDA \u9a71\u52a8<\/p>\n\n\n\n
\u9a71\u52a8\u7248\u672c\u9700\u4e0e PyTorch \u6216\u6df1\u5ea6\u5b66\u4e60\u6846\u67b6\u5339\u914d<\/p>\n\n\n\n
\u5b89\u88c5 Python \u548c\u865a\u62df\u73af\u5883<\/p>\n\n\n\n
\u5efa\u8bae\u4f7f\u7528 Python 3.10 \u6216\u66f4\u9ad8\u7248\u672c<\/p>\n\n\n\n
\u4f7f\u7528 virtualenv \u6216 conda \u521b\u5efa\u72ec\u7acb\u73af\u5883<\/p>\n\n\n\n
\u5b89\u88c5\u6df1\u5ea6\u5b66\u4e60\u6846\u67b6<\/p>\n\n\n\n
PyTorch \u662f\u6700\u5e38\u7528\u7684\u9009\u62e9<\/p>\n\n\n\n
\u5b89\u88c5\u65f6\u9009\u62e9 GPU \u7248\u672c\uff0c\u4f8b\u5982 pip install torch torchvision torchaudio –index-url https:\/\/download.pytorch.org\/whl\/cu121<\/p>\n\n\n\n
\u5b89\u88c5 Stable Diffusion \u4f9d\u8d56<\/p>\n\n\n\n
\u5305\u62ec diffusers\u3001transformers\u3001accelerate \u7b49<\/p>\n\n\n\n
WebUI \u7528\u6237\u53ef\u76f4\u63a5\u5b89\u88c5\u81ea\u52a8\u811a\u672c\u6216\u4ece GitHub \u514b\u9686<\/p>\n\n\n\n
\u68c0\u67e5 GPU \u662f\u5426\u53ef\u7528<\/p>\n\n\n\n
Python \u4e2d\u4f7f\u7528 torch.cuda.is_available()<\/p>\n\n\n\n
\u5982\u679c\u8fd4\u56de True\uff0c\u5219 GPU \u53ef\u7528<\/p>\n\n\n\n
\u5b8c\u6210\u4ee5\u4e0a\u6b65\u9aa4\u540e\uff0c\u4f60\u5c31\u53ef\u4ee5\u8ba9 Stable Diffusion \u4f7f\u7528 GPU \u6765\u751f\u6210\u56fe\u7247\u3002<\/p>\n\n\n\n
\u56db\u3001\u751f\u6210\u56fe\u7247\u7684\u57fa\u672c\u547d\u4ee4<\/p>\n\n\n\n
\u5728 Python \u73af\u5883\u4e2d\uff0c\u8c03\u7528 GPU \u751f\u6210\u56fe\u7247\u901a\u5e38\u6d89\u53ca\u4ee5\u4e0b\u6d41\u7a0b\uff1a<\/p>\n\n\n\n
\u52a0\u8f7d\u6a21\u578b\u5230 GPU<\/p>\n\n\n\n
from diffusers import StableDiffusionPipeline import torch model_id = “runwayml\/stable-diffusion-v1-5” pipe = StableDiffusionPipeline.from_pretrained(model_id, torch_dtype=torch.float16) pipe = pipe.to(“cuda”)<\/p>\n\n\n\n
\u8f93\u5165\u63d0\u793a\u8bcd\u751f\u6210\u56fe\u50cf<\/p>\n\n\n\n
prompt = “\u4e00\u4f4d\u7a7f\u7740\u5b87\u822a\u670d\u7684\u5973\u5b69\u7ad9\u5728\u706b\u661f\u8868\u9762\uff0c\u79d1\u5e7b\u98ce\u683c” image = pipe(prompt, guidance_scale=7.5. num_inference_steps=50).images[0] image.save(“mars_girl.png”)<\/p>\n\n\n\n
\u91cd\u70b9\u6ce8\u610f\uff1a<\/p>\n\n\n\n
torch_dtype=torch.float16 \u53ef\u4ee5\u964d\u4f4e\u663e\u5b58\u5360\u7528\uff0c\u63d0\u9ad8\u901f\u5ea6<\/p>\n\n\n\n
.to(“cuda”) \u6307\u5b9a\u6a21\u578b\u4f7f\u7528 GPU<\/p>\n\n\n\n
guidance_scale \u63a7\u5236\u63d0\u793a\u8bcd\u4f9d\u8d56\u7a0b\u5ea6\uff0c\u8d8a\u9ad8\u7ec6\u8282\u8d8a\u8d34\u5408\u63d0\u793a\u8bcd<\/p>\n\n\n\n
\u4e94\u3001\u4f18\u5316\u751f\u6210\u901f\u5ea6\u548c\u663e\u5b58<\/p>\n\n\n\n
\u4f7f\u7528 GPU \u751f\u6210\u56fe\u7247\u65f6\uff0c\u6709\u4e00\u4e9b\u4f18\u5316\u7b56\u7565\uff1a<\/p>\n\n\n\n
\u4f7f\u7528\u534a\u7cbe\u5ea6\uff08FP16\uff09\u6216\u4f4e\u6bd4\u7279\u91cf\u5316<\/p>\n\n\n\n
\u663e\u5b58\u5360\u7528\u964d\u4f4e\u4e00\u534a<\/p>\n\n\n\n
\u5927\u591a\u6570\u573a\u666f\u4e0b\u753b\u8d28\u5f71\u54cd\u4e0d\u660e\u663e<\/p>\n\n\n\n
\u964d\u4f4e\u5206\u8fa8\u7387\u6216\u6279\u91cf\u5927\u5c0f<\/p>\n\n\n\n
\u9ad8\u5206\u8fa8\u7387\u56fe\u7247\u5360\u7528\u663e\u5b58\u5927<\/p>\n\n\n\n
\u6279\u91cf\u751f\u6210\u65f6\u540c\u65f6\u751f\u6210\u7684\u6570\u91cf\u5e94\u6839\u636e\u663e\u5b58\u8c03\u8282<\/p>\n\n\n\n
\u5f00\u542f\u663e\u5b58\u4f18\u5316\u6a21\u5f0f<\/p>\n\n\n\n
diffusers \u63d0\u4f9b enable_attention_slicing \u548c enable_xformers_memory_efficient_attention<\/p>\n\n\n\n
\u53ef\u51cf\u5c11\u5cf0\u503c\u663e\u5b58\u5360\u7528<\/p>\n\n\n\n
\u5206\u6b65\u751f\u6210\u4e0e\u56fe\u50cf\u5230\u56fe\u50cf\uff08img2img\uff09<\/p>\n\n\n\n
\u5206\u6b65\u751f\u6210\u53ef\u5148\u4f4e\u5206\u8fa8\u7387\u751f\u6210\uff0c\u518d\u653e\u5927\u7ec6\u5316<\/p>\n\n\n\n
img2img \u53ef\u4ee5\u5728\u5df2\u6709\u56fe\u7247\u4e0a\u4fee\u6539\uff0c\u663e\u5b58\u5360\u7528\u76f8\u5bf9\u4f4e<\/p>\n\n\n\n
\u516d\u3001\u591a GPU \u914d\u7f6e\u4e0e\u52a0\u901f<\/p>\n\n\n\n
\u5bf9\u4e8e\u9ad8\u9891\u7387\u751f\u6210\u6216\u9ad8\u5206\u8fa8\u7387\u56fe\u50cf\uff0c\u5355 GPU \u53ef\u80fd\u4e0d\u591f\u5feb\u6216\u663e\u5b58\u4e0d\u8db3\u3002\u8fd9\u65f6\u53ef\u4ee5\u8003\u8651\uff1a<\/p>\n\n\n\n
\u591a GPU \u5e76\u884c<\/p>\n\n\n\n
\u5c06\u6a21\u578b\u62c6\u5206\u6216\u5206\u5e03\u5f0f\u63a8\u7406<\/p>\n\n\n\n
diffusers \u63d0\u4f9b device_map=”auto” \u652f\u6301\u591a GPU<\/p>\n\n\n\n
GPU \u6279\u91cf\u751f\u6210<\/p>\n\n\n\n
\u5c06\u751f\u6210\u4efb\u52a1\u6309\u663e\u5b58\u5206\u914d\u7ed9\u4e0d\u540c GPU<\/p>\n\n\n\n
\u901a\u8fc7\u591a GPU \u914d\u7f6e\uff0c\u53ef\u4ee5\u663e\u8457\u63d0\u5347\u751f\u6210\u6548\u7387\uff0c\u9002\u5408\u5de5\u4f5c\u5ba4\u6216\u5185\u5bb9\u521b\u4f5c\u56e2\u961f\u4f7f\u7528\u3002<\/p>\n\n\n\n
\u4e03\u3001\u5e38\u89c1\u95ee\u9898\u4e0e\u6392\u67e5<\/p>\n\n\n\n
\u663e\u5b58\u4e0d\u8db3\u62a5\u9519<\/p>\n\n\n\n
\u964d\u4f4e\u5206\u8fa8\u7387\u6216\u6279\u91cf\u5927\u5c0f<\/p>\n\n\n\n
\u4f7f\u7528\u534a\u7cbe\u5ea6\u6216\u91cf\u5316\u6a21\u578b<\/p>\n\n\n\n
\u751f\u6210\u901f\u5ea6\u6162<\/p>\n\n\n\n
\u68c0\u67e5 GPU \u662f\u5426\u88ab\u6b63\u786e\u4f7f\u7528<\/p>\n\n\n\n
\u4f7f\u7528\u66f4\u9ad8\u6027\u80fd GPU \u6216\u4f18\u5316\u53c2\u6570<\/p>\n\n\n\n
\u751f\u6210\u56fe\u7247\u4e0e\u63d0\u793a\u8bcd\u4e0d\u7b26<\/p>\n\n\n\n
\u589e\u52a0 guidance_scale<\/p>\n\n\n\n
\u4f18\u5316\u63d0\u793a\u8bcd\u63cf\u8ff0\u52a8\u4f5c\u3001\u573a\u666f\u3001\u98ce\u683c<\/p>\n\n\n\n
GPU \u5360\u7528\u8fc7\u9ad8\u5bfc\u81f4\u5176\u4ed6\u7a0b\u5e8f\u5361\u987f<\/p>\n\n\n\n
\u4f7f\u7528\u72ec\u7acb\u751f\u6210\u73af\u5883<\/p>\n\n\n\n
\u907f\u514d\u540c\u65f6\u6253\u5f00\u5927\u89c4\u6a21\u7a0b\u5e8f<\/p>\n\n\n\n
\u516b\u3001\u603b\u7ed3\u4e0e\u5b9e\u8df5\u5efa\u8bae<\/p>\n\n\n\n
GPU \u662f Stable Diffusion \u9ad8\u6548\u751f\u6210\u56fe\u7247\u7684\u6838\u5fc3<\/p>\n\n\n\n
\u663e\u5b58\u51b3\u5b9a\u751f\u6210\u5206\u8fa8\u7387\u548c\u6279\u91cf\u5927\u5c0f<\/p>\n\n\n\n
\u534a\u7cbe\u5ea6\u3001\u4f18\u5316\u53c2\u6570\u3001\u5206\u6b65\u751f\u6210\u662f\u663e\u5b58\u53cb\u597d\u7b56\u7565<\/p>\n\n\n\n
\u591a GPU \u53ef\u63d0\u5347\u901f\u5ea6\u548c\u751f\u6210\u89c4\u6a21<\/p>\n\n\n\n
\u5b9e\u6218\u4e2d\uff0c\u591a\u6b21\u8fed\u4ee3\u4e0e\u63d0\u793a\u8bcd\u4f18\u5316\u662f\u5173\u952e<\/p>\n\n\n\n
\u7406\u89e3\u8fd9\u4e9b\u539f\u5219\uff0c\u80fd\u591f\u8ba9\u4f60\u5728\u672c\u5730\u5145\u5206\u53d1\u6325 GPU \u7684\u4f18\u52bf\uff0c\u5b9e\u73b0\u9ad8\u6548\u3001\u9ad8\u8d28\u91cf\u7684 Stable Diffusion \u521b\u4f5c\u3002<\/p>\n\n\n\n
FAQ \u5e38\u89c1\u95ee\u9898\u89e3\u7b54<\/p>\n\n\n\n
Q1\uff1a\u6ca1\u6709 GPU \u53ef\u4ee5\u7528 Stable Diffusion \u5417\uff1f<\/p>\n\n\n\n
\u53ef\u4ee5\uff0c\u4f46\u751f\u6210\u901f\u5ea6\u975e\u5e38\u6162\uff0c\u5c24\u5176\u662f\u9ad8\u5206\u8fa8\u7387\u56fe\u50cf\uff0c\u51e0\u5206\u949f\u5230\u5341\u51e0\u5206\u949f\u4e00\u5f20\u3002<\/p>\n\n\n\n
Q2\uff1a\u5982\u4f55\u67e5\u770b GPU \u662f\u5426\u88ab Stable Diffusion \u4f7f\u7528\uff1f<\/p>\n\n\n\n
\u5728 Python \u4e2d\u7528 torch.cuda.is_available()\uff0c\u6216\u8005\u901a\u8fc7\u663e\u5361\u7ba1\u7406\u8f6f\u4ef6\u67e5\u770b\u663e\u5b58\u5360\u7528\u3002<\/p>\n\n\n\n
Q3\uff1a\u663e\u5b58\u4e0d\u8db3\u600e\u4e48\u529e\uff1f<\/p>\n\n\n\n
\u964d\u4f4e\u5206\u8fa8\u7387\u3001\u51cf\u5c11\u6279\u91cf\u3001\u4f7f\u7528 FP16 \u6216\u91cf\u5316\u6a21\u578b\uff0c\u5fc5\u8981\u65f6\u5206\u6b65\u751f\u6210\u3002<\/p>\n\n\n\n
Q4\uff1a\u591a GPU \u662f\u5426\u4e00\u5b9a\u66f4\u5feb\uff1f<\/p>\n\n\n\n
\u4e0d\u4e00\u5b9a\uff0c\u53d6\u51b3\u4e8e\u6a21\u578b\u5206\u5e03\u65b9\u5f0f\u548c\u751f\u6210\u4efb\u52a1\u89c4\u6a21\u3002\u5355\u4efb\u52a1\u751f\u6210\u65f6\uff0c\u6570\u636e\u4f20\u8f93\u4e5f\u53ef\u80fd\u6210\u4e3a\u74f6\u9888\u3002<\/p>\n\n\n\n
Q5\uff1a\u5982\u4f55\u4fdd\u8bc1\u751f\u6210\u7684\u56fe\u7247\u8d28\u91cf\uff1f<\/p>\n\n\n\n
\u4f18\u5316\u63d0\u793a\u8bcd\u3001\u63d0\u9ad8\u91c7\u6837\u6b65\u6570\u3001\u9002\u5f53\u589e\u52a0 guidance scale\uff0c\u7ed3\u5408 GPU \u63d0\u4f9b\u7684\u901f\u5ea6\u4f18\u52bf\uff0c\u53ef\u4ee5\u517c\u987e\u8d28\u91cf\u548c\u6548\u7387\u3002<\/p>\n","protected":false},"excerpt":{"rendered":"
Stable Diffusion \u7684\u9b45\u529b\u5728\u4e8e\u5b83\u80fd\u591f\u5728\u672c\u5730\u751f\u6210…<\/p>\n","protected":false},"author":2,"featured_media":1180,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1],"tags":[],"class_list":["post-1178","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-zixun"],"views":52,"_links":{"self":[{"href":"https:\/\/www.starverse-ai.com\/guide\/wp-json\/wp\/v2\/posts\/1178","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.starverse-ai.com\/guide\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.starverse-ai.com\/guide\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.starverse-ai.com\/guide\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/www.starverse-ai.com\/guide\/wp-json\/wp\/v2\/comments?post=1178"}],"version-history":[{"count":3,"href":"https:\/\/www.starverse-ai.com\/guide\/wp-json\/wp\/v2\/posts\/1178\/revisions"}],"predecessor-version":[{"id":1186,"href":"https:\/\/www.starverse-ai.com\/guide\/wp-json\/wp\/v2\/posts\/1178\/revisions\/1186"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.starverse-ai.com\/guide\/wp-json\/wp\/v2\/media\/1180"}],"wp:attachment":[{"href":"https:\/\/www.starverse-ai.com\/guide\/wp-json\/wp\/v2\/media?parent=1178"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.starverse-ai.com\/guide\/wp-json\/wp\/v2\/categories?post=1178"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.starverse-ai.com\/guide\/wp-json\/wp\/v2\/tags?post=1178"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}
![\"\"](\"https:\/\/www.starverse-ai.com\/guide\/wp-content\/uploads\/2026\/02\/stablediffusion\u663e\u5361\u8981\u6c42.jpg\")
<\/figure>\n<\/div>\n\n\n