Showing 4 open source projects for "path-setting"

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  • Build Agents and Models on One Platform Icon
    Build Agents and Models on One Platform

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    Veeam Data Platform v13.1

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  • 1
    Lightweight' GAN

    Lightweight' GAN

    Implementation of 'lightweight' GAN, proposed in ICLR 2021

    ...Quoting the one-line summary "converge on single gpu with few hours' training, on 1024 resolution sub-hundred images". Augmentation is essential for Lightweight GAN to work effectively in a low data setting. You can test and see how your images will be augmented before they pass into a neural network (if you use augmentation). The general recommendation is to use suitable augs for your data and as many as possible, then after some time of training disable the most destructive (for image) augs. You can turn on automatic mixed precision with one flag --amp. ...
    Downloads: 0 This Week
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  • 2
    Seadanse for Blender

    Seadanse for Blender

    Clay pass to Seedance 2.5 video, keeping the camera you keyframed

    ...Home: https://seadanse.com/tool/blender-to-seedance-2-5 A text prompt cannot say where the camera starts, where it ends, or what blocks what. A blockout says all three. Render a Workbench clay pass from your scene camera, hand it over as the reference, and the take comes back following the path, framing and timing you keyframed. Two ways in, one workflow. The extension installs from disk into Blender 4.2 and up and lives in the 3D view's N-panel. The Agent Skill extracts into an AI assistant's skills directory and works with Claude Code, Codex, or anything that can run a shell and speak MCP. The server prices every job before a credit is spent, and the number sits on the Generate button. ...
    Downloads: 6 This Week
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  • 3
    Minimal text diffusion

    Minimal text diffusion

    A minimal implementation of diffusion models for text generation

    ...Note that you may have to increase the sequence length (--seq_len) if your corpus is longer than the simple corpus. The other default arguments are set to match the best setting I found for the simple corpus.
    Downloads: 0 This Week
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  • 4
    Deep Daze

    Deep Daze

    Simple command line tool for text to image generation

    ...Technique first devised and shared by Mario Klingemann, it allows you to prime the generator network with a starting image, before being steered towards the text. Simply specify the path to the image you wish to use, and optionally the number of initial training steps. We can also feed in an image as an optimization goal, instead of only priming the generator network. Deepdaze will then render its own interpretation of that image. The regular mode for texts only allows 77 tokens. If you want to visualize a full story/paragraph/song/poem, set create_story to True.
    Downloads: 0 This Week
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    Custom VMs From 1 to 96 vCPUs With 99.95% Uptime

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