Stable-Diffusion
This is a curated GitHub repository and educational resource hub (not a packaged tool) created by Dr. Furkan Gözükara, containing tutorials, guides, and links for working with Stable Diffusion, LoRA training, DreamBooth, and related generative AI frameworks. It serves as a learning resource aggregator pointing to YouTube videos, external tools (Automatic1111 UI, ComfyUI, etc.), and cloud platforms rather than providing standalone software.
Key facts
Objective fields from the source. Values we can't verify are shown as “Unknown” rather than guessed.
| Field | Value |
|---|---|
| Repository | FurkanGozukara/Stable-Diffusion |
| Owner | FurkanGozukara |
| Primary language | HTML |
| License | GPL-3.0 — OSI-approved |
| Stars | 2.7k |
| Forks | 369 |
| Open issues | 18 |
| Latest release | Unknown |
| Last updated | 2026-07-01 |
| Source | https://github.com/FurkanGozukara/Stable-Diffusion |
What Stable-Diffusion is
The repository is primarily HTML-based documentation linking to tutorials covering text-to-image generation, model fine-tuning (DreamBooth, LoRA, Textual Inversion), video generation, TTS, and deployment on Automatic1111, ComfyUI, Forge WebUI, and cloud services (RunPod, Google Colab, Kaggle). No native codebase or dependencies are included; it aggregates external tools and educational content.
Get the Stable-Diffusion source
Clone the repository and explore it locally.
git clone https://github.com/FurkanGozukara/Stable-Diffusion.gitcd Stable-Diffusion# follow the project's README for install & configurationNeed it deployed, integrated, or customized instead? DEV.co ships production installs.
Best use cases
Implementation considerations
- Repository is a learning hub; actual implementation requires installing and configuring external tools (Automatic1111 Web UI, ComfyUI, etc.) and managing CUDA/GPU dependencies.
- DreamBooth, LoRA, and Textual Inversion training require significant VRAM (8GB+ demonstrated in tutorials); plan for GPU infrastructure (RunPod, local RTX cards, or Kaggle/Colab).
- Models and training data are separate from this repository; review licensing and bias/safety considerations for underlying Stable Diffusion, SDXL, FLUX models before production use.
- Deepfake and voice-cloning tutorials carry legal and ethical risks (identity, consent, jurisdiction); implement safeguards and verify compliance in your use case.
- Community-driven content; tutorials may become stale as upstream tools evolve—verify against official documentation for critical setup steps.
When to avoid it — and what to weigh
- Seeking Standalone Production Software — This is a documentation/tutorial repository, not a deployable application. You need to install and manage separate tools (Automatic1111, ComfyUI, etc.) independently.
- Commercial Use Without License Review — GPL-3.0 applies to the repository contents only. Underlying models (Stable Diffusion, SDXL) and third-party tools have separate licensing; deepfake/voice-cloning content raises legal/ethical concerns requiring review.
- Expecting Long-Term Enterprise Support — This is a community-maintained educational resource. No SLA, guaranteed updates, or vendor support exist. Last push was 2026-07-01, but no release cycle or support commitment is stated.
- Relying on Outdated Tutorials — Generative AI tools evolve rapidly. Some tutorials may reference superseded model versions or deprecated UI features; verify against current upstream tool documentation.
License & commercial use
Repository content is licensed under GPL-3.0 (GNU General Public License v3.0). This is a copyleft license requiring derivative works to remain open-source and disclose source code under the same terms. GPL-3.0 does not grant commercial use rights without source code disclosure.
Commercial use of this repository's content is restricted by GPL-3.0: any derived works must be open-sourced and licensed under GPL-3.0. However, underlying models (Stable Diffusion, SDXL, FLUX) and third-party tools referenced have separate licenses (many permissive, some commercial-restricted). Content involving deepfakes and voice cloning raises additional legal/ethical concerns requiring independent legal review. Requires thorough review of model licenses and applicable law before commercial deployment.
DEV.co evaluation signals
Editorial assessment — not user reviews. Directional, with an explicit confidence level.
| Signal | Assessment |
|---|---|
| Maintenance | Active |
| Documentation | Strong |
| License clarity | Clear |
| Deployment complexity | High |
| DEV.co fit | Possible |
| Assessment confidence | High |
Repository itself has no executable code or dependencies. Security risks arise from: (1) third-party tools used (Automatic1111, ComfyUI) require vetting; (2) model weights downloaded from Hugging Face, CivitAI, or other sources may be compromised—verify checksums and sources; (3) GPU environment exposure on cloud platforms (RunPod) requires credential management and access controls; (4) deepfake and voice-cloning content can be misused for impersonation or fraud—implement organizational policies and technical safeguards. No security audit or vulnerability disclosure policy documented.
Alternatives to consider
Hugging Face Diffusers Library & Documentation
Official, well-maintained Python library with comprehensive docs for inference and fine-tuning. Supports Stable Diffusion, SDXL, FLUX natively. Better for production integration than video tutorials.
Automatic1111 Web UI (Official Repository)
The underlying tool referenced in tutorials. Direct source for installation, updates, and feature changes. Use official docs for deployment rather than third-party guides.
OpenAI/Stability.ai Official Resources & Courses
Vendor-backed learning paths with guaranteed accuracy, updated in sync with model releases, and official support channels. Better for enterprise adoption.
Build on Stable-Diffusion with DEV.co software developers
This repository is a learning resource, not production software. Use it to upskill your team on Stable Diffusion workflows. For production deployments, assess underlying tools (Automatic1111, ComfyUI) and model licensing separately. Consider vendor-backed alternatives for enterprise support.
Talk to DEV.coRelated open-source tools
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Stable-Diffusion FAQ
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Custom software development services
Need help beyond evaluating Stable-Diffusion? DEV.co is a software development agency offering software development services and web development for teams of every size. Our software developers and web developers build custom software, web applications, APIs, and ai frameworks integrations — and maintain them long-term.
Evaluate Fit for Your Generative AI Initiative
This repository is a learning resource, not production software. Use it to upskill your team on Stable Diffusion workflows. For production deployments, assess underlying tools (Automatic1111, ComfyUI) and model licensing separately. Consider vendor-backed alternatives for enterprise support.