AWPainting-v1-2
modelid = "sam749/AWPainting-v1-2" pipe = StableDiffusionPipeline.frompretrained(modelid, torchdtype=torch.float16) pipe = pipe.to("cuda")
Params
860 M
Context
—
Downloads 30d
40 K
Likes
6
Download history
tracking started — chart appears after 7 days of snapshots (5 recorded)40 K downloads in the last 30 days
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 |
|---|---|---|---|---|
| model.safetensors | f32 | 13.1 GB | 15.0 GB | ✅ Runs comfortably |
Estimate: file size × 1.1 + KV cache at 8K + 0.5 GB overhead. Not a benchmark — how we calculate this.
Specifications
- Parameters
- 860 M
- Tensor type
- F32
- Licence
- creativeml-openrail-m
- First seen on the Hub
- 2024-04-01
- Training datasets
- undisclosed
- Added to our catalog
- 2026-10-20
Compare with any text-to-image model