---
library_name: diffusers
pipeline_tag: text-to-image
license: mit
base_model: runwayml/stable-diffusion-v1-5
tags:
- stable-diffusion
- safety
- grpo
- steering-reward
- safediffusion-r1
---

# SafeDiffusion-R1 — `empty-positive` variant

Empty-positive ablation (only 3 negative anchors, no safe target; geneval_negative_steringreward_8gpus_empty_pos @ epoch 280).

## Quick load

```python
from diffusers import StableDiffusionPipeline
import torch
pipe = StableDiffusionPipeline.from_pretrained(
    "ItsMaxNorm/SafeDiffusion-R1", subfolder="empty-positive", torch_dtype=torch.float16
).to("cuda")
img = pipe("a photo of a cat sleeping on a couch").images[0]
img.save("out.png")
```

See the main repo card for the method, headline numbers, training
recipe, and citation: https://huggingface.co/ItsMaxNorm/SafeDiffusion-R1.