alesha-pro

Building Claude Code from Source

Step-by-step guide for building the Claude Code CLI from the alesha-pro/claude-code repository — leaked Anthropic Claude Code source code.

Requirements

• Linux (Ubuntu 22.04+) or macOS
• 4GB RAM, 4 CPU cores, 30GB disk
• Bun >= 1.3
• Git

alesha-pro

"""
title: Custom RAG Filter with OpenSearch & OpenAI-compatible APIs
author: Alexey Fateev
author_url: https://github.com/anonymousmaharaj
funding_url: https://gist.github.com/anonymousmaharaj
version: 1.0.0
license: MIT
requirements: opensearch-py, httpx
"""

alesha-pro

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