CompVis/stable-diffusion-v-1-4-original
text-to-image model by CompVis
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Model card & documentation
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Stable Diffusion is a latent text-to-image diffusion model capable of generating photo-realistic images given any text input. The Stable-Diffusion-v-1-4 checkpoint was initialized with the weights of the Stable-Diffusion-v-1-2 checkpoint and subsequently fine-tuned on 225k steps at resolution 512x512 on "laion-aesthetics v2 5+" and 10% dropping of the text-conditioning to improve classifier-free guidance sampling. These weights are intended to be used with the original CompVis Stable Diffusion codebase. If you are looking for the model to use with the D🧨iffusers library, come here. The model is intended for research purposes only. Possible research areas and tasks include Excluded uses are described below. Note: This section is taken from the DALLE-MINI model card, but applies in the same way to Stable Diffusion v1. The model should not be used to intentionally create or disseminate images that create hostile or alienating environments for people. This includes generating images that people would foreseeably find…
Read the full model card ↗ · Preview checked 2026-10-30T02:11:23.728Z
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Model overview
CompVis/stable-diffusion-v-1-4-original is a text-to-image model repository published by CompVis on Hugging Face. The source reports the stable-diffusion 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
- stable-diffusion
- Recent downloads (30 days)
- 0
- Cumulative likes
- 2,896
- Hugging Face trending score
- 0
- Reported safetensors parameters
- Not reported
- Architecture
- Not reported
- License
- creativeml-openrail-m
- Access
- Not gated by Hugging Face
- Created
- 2022-08-20T08:42:51.000Z
- Last modified
- 2022-11-09T13:22:34.000Z
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 2026-11-01T06:50:33.901Z. Daily imports are snapshots, not real-time monitoring.
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