stable-diffusion-v1-5-GGUF
bash wasmedge --dir .:. sd-api-server.wasm \ --model-name sd-v1.5 \ --model stable-diffusion-v1-5-pruned-emaonly-Q80.gguf
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Commercial use: conditional · creativeml-openrail-m
Not gated
GGUF · SAFETENSORS
View on Hugging Face ↗
Download history
daily snapshots · 10 days23 K22 K
Jul 28Jul 31Aug 3Aug 6
Can you run it?
Estimated VRAM at 8K context unless noted. Pick your hardware to see the verdict per quantization.
| File | Quant | Size | Est. VRAM | Verdict on RTX 4090 · 24 GB |
|---|---|---|---|---|
| stable-diffusion-v1-5-pruned-emaonly-Q4_0.gguf | Q4_0 | 1.6 GB | 2.2 GB | ✅ Runs comfortably |
| stable-diffusion-v1-5-pruned-emaonly-Q4_1.gguf | Q4_1 | 1.6 GB | 2.3 GB | ✅ Runs comfortably |
| stable-diffusion-v1-5-pruned-emaonly-Q5_0.gguf | Q5_0 | 1.6 GB | 2.3 GB | ✅ Runs comfortably |
| stable-diffusion-v1-5-pruned-emaonly-Q5_1.gguf | Q5_1 | 1.6 GB | 2.3 GB | ✅ Runs comfortably |
| stable-diffusion-v1-5-pruned-emaonly-Q8_0.gguf | Q8_0 | 1.8 GB | 2.4 GB | ✅ Runs comfortably |
| stable-diffusion-v1-5-pruned-emaonly-f32.gguf | GGUF | 4.3 GB | 5.2 GB | ✅ Runs comfortably |
| model.safetensors | fp16 | 4.3 GB | 5.2 GB | ✅ Runs comfortably |
Estimate: file size × 1.1 + KV cache at 8K + 0.5 GB overhead. Not a benchmark — how we calculate this.
Specifications
- Licence
- creativeml-openrail-m
- First seen on the Hub
- 2024-07-09
- Training datasets
- undisclosed
- Added to our catalog
- 2026-07-28
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