image-search-datasets.md No more magic comments (huggingface#1554) Oct 3, 2023 image-similarity.md No more magic comments (huggingface#1554) Oct 3, 2023 improve_parquet_dedupe.md Parquet Dedupe Blog Post (huggingface#2388) Oct 5, 2024 inference-dgx-cloud.md Update inference-dgx-cloud.md (hu...
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.\models\deta\image_processing_deta.py .\models\deta\modeling_deta.py .\models\deta\__init__.py .\models\detr\configuration_detr.py .\models\detr\convert_detr_original_pytorch_checkpoint_to_pytorch.py .\models\detr\convert_detr_to_pytorch.py .\models\detr\feature_extraction_detr.py .\mode...
as a way to force image generation to obey to those concepts. Becausediffusersis used in multitude of services and projects, we wanted to provide a very flexible way to adopt prompt weighting, so users can ultimately build the system they prefer. Our apprach...
Music Generation Framework(XMusic:迈向通用且可控的符号音乐生成框架) [03:46] 🔒 Trusted Machine Learning Models Unlock Private Inference for Problems Currently Infeasible with Cryptography(可信机器学习模型解锁当前密码学无法解决的隐私推理问题) [04:23] 🔍 Parameter-Inverted Image Pyramid Networks for ...
We then load an image to compute the lineart conditionings: url = "https://huggingface.co/Adapter/t2iadapter/resolve/main/figs_SDXLV1.0/org_lin.jpg" image = load_image(url) image = line_detector(image, detect_resolution=384, image_resolution=1024) ...
image.save(f"astronaut_rides_horse.png") image 1. 2. 3. 4. 输出结果如下,还有点内味儿。 3.2 非随机生成 刚才3.1 部分生成的每次都不一样,若需非随机生成,则指定随机种子,pipe()中传入generator参数指定 generator。 import torch generator = torch.Generator("cuda").manual_seed(1024) ...
Music Generation Framework(XMusic:迈向通用且可控的符号音乐生成框架) [03:46] 🔒 Trusted Machine Learning Models Unlock Private Inference for Problems Currently Infeasible with Cryptography(可信机器学习模型解锁当前密码学无法解决的隐私推理问题) [04:23] 🔍 Parameter-Inverted Ima...
BARTpho (from VinAI Research) released with the paper BARTpho: Pre-trained Sequence-to-Sequence Models for Vietnamese by Nguyen Luong Tran, Duong Minh Le and Dat Quoc Nguyen. BEiT (from Microsoft) released with the paper BEiT: BERT Pre-Training of Image Transformers by Hangbo Bao, Li Dong...
Here is the original image on the left, with the predictions displayed on the right:You can learn more about the tasks supported by the pipeline API in this tutorial.In addition to pipeline, to download and use any of the pretrained models on your given task, all it takes is three lines...