storyteller
stable-diffusion-docker
storyteller | stable-diffusion-docker | |
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1 | 4 | |
474 | 711 | |
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5.9 | 6.7 | |
9 months ago | 5 months ago | |
Python | Python | |
MIT License | GNU Affero General Public License v3.0 |
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storyteller
stable-diffusion-docker
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Do you guys recommend any GPU cloud hosting services for stable diffusion?
Honestly though, you’re being a bit paranoid about it. Running your own local install would be much easier, and if you use .safetensors then from my understanding you’re pretty safe. You could also run it using the Docker container for a bit more security, though imo it’s not worth the headache.
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Stable Diffusion CLI apps?
You could try a dockerized implementation of it like this one https://github.com/fboulnois/stable-diffusion-docker
- Keep yourself safe when downloading models, Pickle malware scanner GUI for Stable Diffusion
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Do we have a ready to go LXC container with web UI for stable diffusion yet ?
https://github.com/pieroit/stable-diffusion-jupyterlab-docker/ https://github.com/fboulnois/stable-diffusion-docker
What are some alternatives?
ez-text2video - Easily run text-to-video diffusion with customized video length, fps, and dimensions on 4GB video cards or on CPU.
stable-diffusion-webui-docker - Easy Docker setup for Stable Diffusion with user-friendly UI
CogView - Text-to-Image generation. The repo for NeurIPS 2021 paper "CogView: Mastering Text-to-Image Generation via Transformers".
ComfyUI-to-Python-Extension - A powerful tool that translates ComfyUI workflows into executable Python code.
Sketch-Guided-Stable-Diffusion - Unofficial Implementation of the Google Paper - https://sketch-guided-diffusion.github.io/
data-efficient-gans - [NeurIPS 2020] Differentiable Augmentation for Data-Efficient GAN Training
aphantasia - CLIP + FFT/DWT/RGB = text to image/video
stable-diffusion-pytorch - Yet another PyTorch implementation of Stable Diffusion (probably easy to read)
Gen-L-Video - The official implementation for "Gen-L-Video: Multi-Text to Long Video Generation via Temporal Co-Denoising".
Awesome-Video-Diffusion - A curated list of recent diffusion models for video generation, editing, restoration, understanding, etc.
sdxl-demos - Python demos for testing out the Stable Diffusion's XL (SDXL 0.9) model.