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Stable Diffusion Long Prompt Weighted Embedding
xhinker (GitHub) April 23, 2026
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GitHub library enabling prompts beyond the 77-token limit, supporting long prompts with per-token weighting for SD 1.5, SDXL, and SD3. Includes techniques for breaking token boundaries and maintaining coherence across segments.
Prompt
Long Prompt Weighted Embedding Library: 1. **Break the 77-Token Limit**: Extend prompts to any length for SD 1.5, SDXL, and SD3 2. **Per-Token Weighting**: Assign specific weights to individual tokens 3. **Segment Coherence**: Maintains semantic meaning across token boundary segments 4. **Multi-Model Support**: Works with SD 1.5, SDXL, SD3, and Flux models 5. **Integration**: Drop-in replacement for standard text encoding in Diffusers pipelines Usage: pip install sd_embed, then replace the standard prompt encoding step with the library's extended encoding function.
How to Use
Install from GitHub (pip install sd_embed) and use as a drop-in replacement for standard CLIP text encoding in your Diffusers pipeline.
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