stable-diffusion-v1-5/stable-diffusion-inpainting
text-to-image model by stable-diffusion-v1-5
From the publisher
Model card & documentation
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Modifications to the original model card are in red or green Stable Diffusion Inpainting is a latent text-to-image diffusion model capable of generating photo-realistic images given any text input, with the extra capability of inpainting the pictures by using a mask. The Stable-Diffusion-Inpainting was initialized with the weights of the Stable-Diffusion-v-1-2. First 595k steps regular training, then 440k steps of inpainting training at resolution 512x512 on “laion-aesthetics v2 5+” and 10% dropping of the text-conditioning to improve classifier-free classifier-free guidance sampling. For inpainting, the UNet has 5 additional input channels (4 for the encoded masked-image and 1 for the mask itself) whose weights were zero-initialized after restoring the non-inpainting checkpoint. During training, we generate synthetic masks and in 25% mask everything. Open In Spaces | [](https://colab.research.google.com/github/huggingface/notebooks/blob/main/diffusers/inpaintingwithstablediffusionusingdiffusers.ipynb) :-------------------------:|:-------------------------:| You can use this both with the 🧨Diffusers library and RunwayML GitHub repository (now deprecated), Automatic1111. How it works: image | maskimage :-------------------------:|:-------------------------:|…
Read the full model card ↗ · Preview checked 2026-11-01T13:58:31.205Z
Inside the original model card — Document outline
- Stable Diffusion Inpainting model card
- ⚠️ This repository is a mirror of the now deprecated ruwnayml/stable-diffusion-inpainting, this repo
- Examples:
- Use with Diffusers
- Use with Original GitHub Repository or AUTOMATIC1111
- Model Details
- Uses
- Direct Use
- Misuse, Malicious Use, and Out-of-Scope Use
- Out-of-Scope Use
- Misuse and Malicious Use
- Limitations and Bias
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Documentation belongs to its respective authors. Reported project/model license: creativeml-openrail-m. A listing is not a grant of reuse or training rights. Confirm the document’s own terms at the source.
Model overview
stable-diffusion-v1-5/stable-diffusion-inpainting is a text-to-image model repository published by stable-diffusion-v1-5 on Hugging Face. The source reports the diffusers library.
This page summarizes Hub metadata. For intended use, training data, evaluation results and limitations, consult the original model card.
Model facts
- Task
- text-to-image
- Library
- diffusers
- Recent downloads (30 days)
- 252,127
- Cumulative likes
- 120
- Hugging Face trending score
- 1
- Reported safetensors parameters
- Not reported
- Architecture
- Not reported
- License
- creativeml-openrail-m
- Access
- Not gated by Hugging Face
- Created
- 2024-08-30T10:08:03.000Z
- Last modified
- 2024-09-06T18:58:07.000Z
Compatibility and lineage
Language coverage was not reported.
Base-model lineage was not included.
Parameter count is not a RAM/VRAM requirement. Check precision, quantization, context length and runtime compatibility in the model card; no hardware or API-cost claim is inferred here.
Use and evaluate
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Source and freshness
Source: Hugging Face Hub. Metadata observed 2026-11-01T06:51:31.475Z. Daily imports are snapshots, not real-time monitoring.
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