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MODEL Listed

stable-diffusion-v1-5

Stable Diffusion v1.5 remains a foundational pillar for open-source generative AI, offering a versatile text-to-image pipeline that balances performance with hardware accessibility. Unlike closed-API models, v1.5 is designed for local deployment and deep customization, making it the primary target for community-driven fine-tuning. Developers can leverage its latent diffusion architecture to implement custom LoRAs or ControlNets, granting precise structural control over image generation that exceeds basic prompting. Whether you are building an automated asset pipeline, an AI-powered design tool, or integrating image synthesis into a full-stack app, v1.5 provides a stable, well-documented baseline with massive ecosystem support and low VRAM overhead compared to newer, larger models.

stable-diffusion-v1-5text to image
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01 / MODEL CARD

Model card

Stable Diffusion v1.5 remains a foundational pillar for open-source generative AI, offering a versatile text-to-image pipeline that balances performance with hardware accessibility. Unlike closed-API models, v1.5 is designed for local deployment and deep customization, making it the primary target for community-driven fine-tuning. Developers can leverage its latent diffusion architecture to implement custom LoRAs or ControlNets, granting precise structural control over image generation that exceeds basic prompting. Whether you are building an automated asset pipeline, an AI-powered design tool, or integrating image synthesis into a full-stack app, v1.5 provides a stable, well-documented baseline with massive ecosystem support and low VRAM overhead compared to newer, larger models.

Model typetext to image
Providerstable-diffusion-v1-5
Licensecreativeml-openrail-m
02 / FILES & VERSIONS

Model files and versions

Model cardModel description and metadata available in this entry
Listed
Source repositoryhttps://huggingface.co/stable-diffusion-v1-5/stable-diffusion-v1-5
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Version informationUse the source repository for the latest version
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03 / DOWNLOAD

Download this model

We recommend using the ModelScope CLI or SDK. Install ModelScope first, then choose a full snapshot, single file, SDK or Git LFS workflow.

This entry points to Hugging Face. The commands use the matching ModelScope repository format; confirm that the repository exists on ModelScope before running them. Model repository: stable-diffusion-v1-5/stable-diffusion-v1-5
Install ModelScope

Install the CLI and SDK dependency before downloading.

pip install modelscope
Download the full model repository

Download the complete weights, configuration and model card.

modelscope download --model stable-diffusion-v1-5/stable-diffusion-v1-5
Download one file to a local directory

README.md is used as an example; replace it with another repository file when needed.

modelscope download --model stable-diffusion-v1-5/stable-diffusion-v1-5 README.md --local_dir ./dir
Download with the SDK

Useful in Python projects and automation scripts.

from modelscope import snapshot_download
model_dir = snapshot_download('stable-diffusion-v1-5/stable-diffusion-v1-5')
Clone with Git

Make sure Git LFS is installed correctly.

git lfs install
git clone https://www.modelscope.cn/stable-diffusion-v1-5/stable-diffusion-v1-5.git
Clone without downloading LFS blobs

Fetch the repository structure first, then pull large files when needed.

GIT_LFS_SKIP_SMUDGE=1 git clone https://www.modelscope.cn/stable-diffusion-v1-5/stable-diffusion-v1-5.git
04 / WORKFLOW

How to use

  1. 01
    Step 1

    Read the model card and source information.

  2. 02
    Step 2

    Start with a small, non-sensitive evaluation.

  3. 03
    Step 3

    Review quality, licensing and usage limits.

  4. 04
    Step 4

    Adopt it only after validation.

05 / DISCUSSIONS

Discussions

Use this space to keep checking source information, usage experience and maintenance status.

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