Loading
Have a ComfyUI workflow? Get a readable Workflow Doc in your browser.Make a workflow readable.Try it now ↗
Guide (External Site): English | Japanese
Model source
Source description
FLAN-T5-XXL (Text-Encoder Only)
Guide (External Site): English | Japanese
Why Use FP32 Text Encoder? (External Site): English | Japanese
Hugging Face
The FP8 and GGUF format is distributed as a compressed ZIP file. Please unzip it using any decompression software of your choice before use, or download from Hugging Face page.
FLAN-T5-XXL is a fine-tuned version of T5-XXL v1.1, designed to improve accuracy and performance.
The original FLAN-T5-XXL model is available on Google's Hugging Face page .
When used with Flux.1, SD3.5 and HiDream, replacement for T5-XXL v1.1 to FLAN-T5-XXL offers improved prompt comprehension and enhanced image quality .
Sources
1 sourceModel artifacts
1 artifactflanT5XXLTextEncorder_fp32.safetensors
safetensors · FP32 · FULL · 17.7 GB · SHA-256 a830951cf014…fe2c · Civitai
DownloadSource excerpts
2 excerptsSource context: 6749 downloads · Type Other · Base model Other
This model has been streamlined by extracting only the text encoder portion, making it optimized for image generation workflows.
Model Variants
FP32
Full precision, highest quality — largest file size and heaviest VRAM/compute footprint. Best for archival or when maximum fidelity matters more than speed.
FP16
Half precision with virtually no perceptible quality loss for most use cases. The recommended default — a solid balance of accuracy and file size.
INT8_ConvRot_HQ
Lightweight 8-bit quantization using rotation-based conversion, preserving unusually high accuracy despite the reduced size. Great if you want INT8-level savings without the usual quality trade-off.
MXFP8 / FP8_svd_scaled / FP8
⚠️ Currently not recommended. These FP8 variants are kept for compatibility/testing but show degraded quality or stability compared to the other options — use INT8_ConvRot_HQ instead.
GGUF (Q8_0 / Q6_K / Q5_K_M / Q4_K_M)
Excellent compression ratios for constrained environments. Quality scales down the quantization ladder (Q8_0 closest to full precision, Q4_K_M smallest but with more quality loss) — pick based on your available memory.
Comparisons
FLAN-T5-XXL vs T5-XXL v1.1
FLAN-T5-XXL FP32 vs FP16 and Quantization
INT8_ConvRot vs FP8 (Other Model)
Tip: Upgrade CLIP-L Too
For even better results, consider pairing FLAN-T5-XXL with an upgraded CLIP-L text encoder:
LongCLIP-SAE-ViT-L-14 (ComfyUI only)
CLIP-SAE-ViT-L-14
Combining FLAN-T5-XXL with an enhanced CLIP-L model can further boost image quality.
License
Apache 2.0
This model is based on Google's FLAN-T5-XXL, also licensed under Apache 2.0.
Update History
2026.7.10
Upload INT8_ConvRot_HQ
2025.6.24
Re-upload of the GGUF model, reduction in model size, and correction of metadata.
Source context: 6354 downloads · Type Other · Base model Other
