From the model card
Fields below are copied from the tags and counters on the HuggingFace repository SG161222/Realistic_Vision_V5.1_noVAE at our last fetch. They are set by the uploader, not verified by us; rows with no tag are omitted. How this page is made.
- Publisher (HF namespace)
- SG161222
- Pipeline tag
- text-to-image
- Library
- Diffusers
- Weight formats
- safetensors
- License tag
creativeml-openrail-m— read the license file in the repo before relying on it- Downloads (HF counter at last fetch)
- 423,018
- Likes (HF counter at last fetch)
- 262
- Model card
- https://huggingface.co/SG161222/Realistic_Vision_V5.1_noVAE
Use cases
- Generating photorealistic human portraits and lifestyle imagery
- Product mock-up photography without a studio setup
- Creating training data for downstream vision models
- Inpainting realistic textures into existing images
- Building commercial image generation workflows on SD 1.5 infrastructure
Pros
- Highly tuned for photorealism; skin tones and lighting are notably accurate
- noVAE format allows VAE swapping for different colour grade aesthetics
- Diffusers StableDiffusionPipeline compatible; easy to integrate
- 247 likes reflects broad community validation across use cases
Cons
- CreativeML OpenRAIL-M license restricts certain harmful-content generation use cases
- SD 1.5 base limits resolution to 512px natively; tiling or upscaling required for larger outputs
- Requires external VAE file; deployment setup is more complex than VAE-included checkpoints
- Photorealism is strong for people but weaker for architecture, animals, and abstract subjects