---
title: sd-vae-REPA-E-e2e-diffusers
canonical_url: "https://www.modelscope.cn/models/spacepxl/sd-vae-REPA-E-e2e-diffusers"
md_url: "https://www.modelscope.cn/models/spacepxl/sd-vae-REPA-E-e2e-diffusers.md"
repository: spacepxl/sd-vae-REPA-E-e2e-diffusers
last_updated: 2025-05-20
license: mit
base_model:
  - REPA-E/e2e-sdvae
base_model_relation: finetune
parameters: 83.7M
tensor_type:
  - F32
library_name:
  - safetensors
  - diffusers
  - pytorch
frameworks:
  - pytorch
downloads: 353
stars: 0
---

# sd-vae-REPA-E-e2e-diffusers

> sd-vae-REPA-E-e2e-diffusers - spacepxl 在 ModelScope 开源的模型。https://huggingface.co/REPA-E/e2e-sdvae converted from LDM to diffusers format

spacepxl/sd-vae-REPA-E-e2e-diffusers 是 ModelScope 魔搭社区上的 83.7M 参数机器学习模型，采用 mit 许可，基于 REPA-E/e2e-sdvae 构建。

- **Repository**: spacepxl/sd-vae-REPA-E-e2e-diffusers
- **License**: mit
- **Parameters**: 83.7M
- **Base model**: REPA-E/e2e-sdvae
- **Downloads**: 353
- **Stars**: 0
- **Last updated**: 2025-05-20

Source: https://www.modelscope.cn/models/spacepxl/sd-vae-REPA-E-e2e-diffusers

---

https://huggingface.co/REPA-E/e2e-sdvae converted from LDM to diffusers format