safetensors
stable-diffusion-webui-model-toolkit
safetensors | stable-diffusion-webui-model-toolkit | |
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31 | 12 | |
2,472 | 480 | |
4.8% | - | |
8.2 | 3.4 | |
2 days ago | about 2 months ago | |
Python | Python | |
Apache License 2.0 | MIT License |
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safetensors
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Llamafile lets you distribute and run LLMs with a single file
The ML field is doing work in that area: https://github.com/huggingface/safetensors
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Hugging Face raises $235M from investors including Salesforce and Nvidia
FYI the file format, safetensors, was proposed, developed and maintained by HF, and involved people from groups such as Eleuther and Stability for external security audits.
https://github.com/huggingface/safetensors https://huggingface.co/blog/safetensors-security-audit
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I Made Stable Diffusion XL Smarter by Finetuning It on Bad AI-Generated Images
Thank you for note on this. I had not heard there were already trojan horse malware being slipped into tensor files as python scripts. Apparently torch pickle uses eval on the tensor file with no filter.
Heard surprisingly little commentary on this topic. The full explanation of how Safetensors are "Safe" can be found from the developer at: https://github.com/huggingface/safetensors/discussions/111
- Pickle safety in Python
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What makes .safetensors files safe?
Here the developer goes into some detail about what kinds of protections .safetensor files have : https://github.com/huggingface/safetensors/discussions/111
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Security PSA: huggingface models are code. not just data.
Use the safetensors format, which allows safe persistence and loading of models for common libraries - TensorFlow, PyTorch, JAX, etc. We went through external audits in the last few months (blog post). The current direction will be to have this as the default format.
- What's your favorite model. Right now I'm really enjoying dreamshaper.
- Lora, ggml, safetensors, hf, etc. Is there a glossary and guide on which model to choose?
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Stability AI Launches the First of Its StableLM Suite of Language Models
I've been diving in lately and while it's not efficient, the only way to do manage is to create a new conda/mamba environment, or a custom Docker image for all the conflicting packages.
For safety and speed, you should prefer the safetensor format: https://huggingface.co/docs/safetensors/speed
If you know what you are doing you can do your own conversions: https://github.com/huggingface/safetensors or for safety, https://huggingface.co/spaces/diffusers/convert
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CKPT to Safetensors
GitHub - huggingface/safetensors: Simple, safe way to store and distribute tensors
stable-diffusion-webui-model-toolkit
- Playground v2: A new SDXL style commercially open model from PlaygroundAI
- How do I get the CLIP model from the SD model?
- I'm trying to bake a VAE into a model I like to use, but it keeps giving me an error message. What can I do?
- Outpainting with Controlnet and the Photopea extension (fast, with low resources and easy)
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DreamShaper 6 Released!
there is an extension for auto1111 that can clean up models. GitHub - arenasys/stable-diffusion-webui-model-toolkit: A Multipurpose toolkit for managing, editing and creating models.
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What are hidden tricks you discovered that tutorials never really cover?
It's in the available extensions list or here: https://github.com/arenasys/stable-diffusion-webui-model-toolkit
- Why some models are bigger than other?
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A-Zovya Photoreal - V1 Ultra | Stable Diffusion Checkpoint | Civitai
Have you tried using the https://github.com/arenasys/stable-diffusion-webui-model-toolkit extension to prune the mega mix and see what the difference is?
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4090 increased speed causing memory error
Pytorch2.0 seems to use a bunch more memory on my end, though more testing is necessary to confirm that. This would limit your image size. But, you can reclaim some of that back if you run your models through the model toolkit. It's an extension that cuts out unneeded data from your model files, which will save space in your VRAM. Cut realisticVision almost in half (3.7GB > 2.0GB). | You can also run a lower batch size but a higher batch count.
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help me.
You might be able to use the model toolkit to remove extra bloat from models to get it under that VRAM requirement.
What are some alternatives?
stable-diffusion-webui - Stable Diffusion web UI
sd-webui-model-converter - model convert extension for stable-diffusion-webui. supports convert fp16/bf16 no-ema/ema-only safetensors
llama.cpp - LLM inference in C/C++
seait - SEAIT is a user-friendly application that simplifies the installation process of AI-related projects
Safe-and-Stable-Ckpt2Safetensors-Conversion-Tool-GUI - Convert your Stable Diffusion checkpoints quickly and easily.
sd-webui-photopea-embed - A simple Stable Diffusion WebUI extension that adds a Photopea tab and integration.
InvokeAI - InvokeAI is a leading creative engine for Stable Diffusion models, empowering professionals, artists, and enthusiasts to generate and create visual media using the latest AI-driven technologies. The solution offers an industry leading WebUI, supports terminal use through a CLI, and serves as the foundation for multiple commercial products.
a1111-sd-webui-tome - ToMe extension for Stable Diffusion A1111 WebUI
Stable-Diffusion-Pickle-Scanner-GUI - Pickle Scanner GUI
stable-diffusion-webui-model-toolkit - A Multipurpose toolkit for managing, editing and creating models. [Moved to: https://github.com/arenasys/stable-diffusion-webui-model-toolkit]
alpaca_lora_4bit
ControlNet - Let us control diffusion models!