Text-to-Image
Diffusers
Safetensors
stable-diffusion
safety
safe-generation
grpo
steering-reward
nsfw-removal
safediffusion-r1
Instructions to use ItsMaxNorm/SafeDiffusion-R1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use ItsMaxNorm/SafeDiffusion-R1 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("ItsMaxNorm/SafeDiffusion-R1", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Commit History
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Update README.md
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Fix inference snippet: use snapshot_download for subfolder loading
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Add top-level model card with method, headline results, and per-variant load snippet
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Release empty-positive variant (full SD pipeline)
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Release compact variant (full SD pipeline)
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Release scaled variant (full SD pipeline)
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initial commit
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