Note: Replace 192.168.0.5 below by your own interface ip
mac $ socat TCP-LISTEN:6000,reuseaddr,fork UNIX-CLIENT:\"$DISPLAY\"
mac $ docker run --device=/dev/tty0 -e DISPLAY=192.168.0.5:0 -i -t ubuntu /bin/bash
ubuntu $ apt-get update && apt-get install -y firefox
ubuntu $ firefox
| npm set registry https://registry.npm.taobao.org && \ | |
| npm set disturl https://npm.taobao.org/dist && \ | |
| npm set sass_binary_site https://npm.taobao.org/mirrors/node-sass && \ | |
| npm set electron_mirror https://npm.taobao.org/mirrors/electron/ && \ | |
| npm set puppeteer_download_host https://storage.googleapis.com.cnpmjs.org && \ | |
| npm set chromedriver_cdnurl https://npm.taobao.org/mirrors/chromedriver && \ | |
| npm set operadriver_cdnurl https://npm.taobao.org/mirrors/operadriver && \ | |
| npm set phantomjs_cdnurl https://npm.taobao.org/mirrors/phantomjs && \ | |
| npm set selenium_cdnurl https://npm.taobao.org/mirrors/selenium && \ | |
| npm set node_inspector_cdnurl https://npm.taobao.org/mirrors/node-inspector && \ |
Before Github supported SSL encryption for github pages sites, many people were using CloudFlare (CF) as their DNS provider and CDN proxy. CF allowed users to enable SSL encryption from the CDN end points/proxies to the end user. This was great and it allowed visitors to your website to connect with a secure connection between their browser and the cloudflare CDN box that was serving your content. However, with this setup one (significant) link in the chain remained unencrypted and
| I want you to help me make requests (prompts) for the Stable Diffusion neural network. | |
| Stable diffusion is a text-based image generation model that can create diverse and high-quality images based on your requests. In order to get the best results from Stable diffusion, you need to follow some guidelines when composing prompts. | |
| Here are some tips for writing prompts for Stable diffusion1: | |
| 1) Be as specific as possible in your requests. Stable diffusion handles concrete prompts better than abstract or ambiguous ones. For example, instead of “portrait of a woman” it is better to write “portrait of a woman with brown eyes and red hair in Renaissance style”. | |
| 2) Specify specific art styles or materials. If you want to get an image in a certain style or with a certain texture, then specify this in your request. For example, instead of “landscape” it is better to write “watercolor landscape with mountains and lake". | |
| 3) Specify specific artists for reference. If you want to get an image similar to the work of some |
This worked on 14/May/23. The instructions will probably require updating in the future.
llama is a text prediction model similar to GPT-2, and the version of GPT-3 that has not been fine tuned yet. It is also possible to run fine tuned versions (like alpaca or vicuna with this. I think. Those versions are more focused on answering questions)
Note: I have been told that this does not support multiple GPUs. It can only use a single GPU.
It is possible to run LLama 13B with a 6GB graphics card now! (e.g. a RTX 2060). Thanks to the amazing work involved in llama.cpp. The latest change is CUDA/cuBLAS which allows you pick an arbitrary number of the transformer layers to be run on the GPU. This is perfect for low VRAM.
08737ef720f0510c7ec2aa84d7f70c691073c35d.
| <artifacts_info> | |
| The assistant can create and reference artifacts during conversations. Artifacts are for substantial, self-contained content that users might modify or reuse, displayed in a separate UI window for clarity. | |
| # Good artifacts are... | |
| - Substantial content (>15 lines) | |
| - Content that the user is likely to modify, iterate on, or take ownership of | |
| - Self-contained, complex content that can be understood on its own, without context from the conversation | |
| - Content intended for eventual use outside the conversation (e.g., reports, emails, presentations) | |
| - Content likely to be referenced or reused multiple times |