fromdiffusersimportStableDiffusionXLPipelineimporttorchpipeline=StableDiffusionXLPipeline.from_pretrained("stabilityai/stable-diffusion-xl-base-1.0",torch_dtype=torch.float16,variant="fp16",use_safetensors=True).to("cuda")prompt="Astronaut in a jungle, cold color palette, muted colors, detailed, 8k"...
The SD model also introduces cross-attention layers into the model architecture, allowing it to turn diffusion models into powerful and flexible generators for general conditioning inputs such as text or bounding boxes. As a result, the SD model achieves a new state of the art for ima...
The Stable Diffusion API is using SDXL as single model API. So you can't change model on this endpoint. This API is faster and creates images in seconds. The available endpoints handle requests for generating images based on specific description and/or image provided. ...
We provide a script to build end to end TRT inference pipeline with NeMo backend, which is located atNeMo/examples/multimodal/text2img/stable_diffusion/sd_xl_export.py. infer:out_path:sdxl_exportwidth:1024height:1024batch_size:2trt:static_batch:Falsemin_batch_size:1max_batch_size:8 ...
stable_diffusion_xl_demos_colab.ipynb Updates Nov 17, 2023 Repository files navigation README Prompt: franoise nielly Seed: 5794085265364060428 Prompt: crowded beach scene Seed: 625883522248683706 Prompt: market scene from a vendors perspective emphasizing colorful stalls and busy shoppers and an array...
Stable Diffusion API Docs 👋 Welcome The Stable Diffusion V3 API comes with these features: Faster speed; Inpainting; Image 2 Image; Negative Prompts. The Stable Diffusion API is organized around REST. Our API has predictable resource-oriented URLs, accepts form-encoded request bodies, returns JS...
structure documentation found at docs\image_folder_structure.md ... 截图如下: 解决办法: 训练集要放到images文件夹下面,如果没有images,就手动创建后将训练集放到该目录下。 错误提示2: enable LoRA for U-Net prepare optimizer, data loader etc. ...
diffusers.utils import load_imagepipe = StableDiffusion3Img2ImgPipeline.from_pretrained("stabilityai/stable-diffusion-3-medium-diffusers", torch_dtype=torch.float16)pipe = pipe.to("cuda")init_image = load_image("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/diffusers/...
(https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/blog/stable-diffusion-xl-coreml/a_high_quality_photo_of_a_surfing_dog.7667.final_6.55-bits.jpg) | 如果保留内存>>分配内存,请尝试设置max_split_size_mb以避免碎片。有关内存管理和PYTORCH_CUDA_ALLOC_CONF,请参阅文档时间:15.8秒。 2楼2023-09-24 23:27 回复 古月林夕雨夜 铁杆吧友 8 3060 6GB...