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README.md

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+---
+license: mit
+base_model: stepfun-ai/Step1X-Edit
+tags:
+  - depth-estimation
+  - normal-estimation
+  - quantized
+  - int8
+---
+
+# FE2E INT8 (Pre-quantized for CPU)
+
+Pre-quantized INT8 model for [FE2E](https://github.com/AMAP-ML/FE2E) (CVPR 2026) depth + normal estimation.
+
+## Files
+
+| File | Size | Description |
+|------|------|-------------|
+| dit_int8_full.pt | 11.6 GB | Step1X-Edit DiT + LDRN LoRA merged, dynamic INT8 quantized (torch.save full model) |
+| vae_full.pt | 320 MB | VAE decoder, FP32 (torch.save full model) |
+| dit_int8.pt | 11.6 GB | State dict only (for advanced use) |
+| vae_fp32.pt | 320 MB | State dict only (for advanced use) |
+
+## How it was made
+
+1. Loaded FP8 base model () on GPU
+2. Cast to FP32 on CPU
+3. Merged LDRN LoRA () in full precision
+4. Applied  (INT8, Linear layers)
+5. Saved full model via 
+
+## Usage
+
+
+
+Load with  to avoid doubling memory. Requires ~12 GB RAM.
+
+## Performance
+
+- GPU (RTX 5090, FP8): 2.1s per image
+- CPU (HF Space, INT8): ~29 min for 768x1024
+- Single denoise step, outputs depth + normal simultaneously
+
+## Credits
+
+- [FE2E](https://github.com/AMAP-ML/FE2E) (CVPR 2026)
+- [Step1X-Edit](https://github.com/stepfun-ai/Step1X-Edit) base model
+- [rkfg/Step1X-Edit-FP8](https://huggingface.co/rkfg/Step1X-Edit-FP8) FP8 quantization

dit_int8_full.pt

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vae_full.pt

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