Stable Diffusion with Diffusers
Orchestra-Research/AI-Research-SKILLs
Generates and edits images with Stable Diffusion through Hugging Face Diffusers, covering text-to-image, image-to-image, inpainting, SDXL and custom pipelines.
Stability AI — Gerador de Imagens Profissional workflow skill.
Install Stability AI
$ npx skills add diegosouzapw/awesome-omni-skills --skill stability-ai -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install diegosouzapw/awesome-omni-skills stability-ai --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/diegosouzapw/awesome-omni-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/stability-ai .claude/skills/stability-ai && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "stability-ai" agent skill from https://github.com/diegosouzapw/awesome-omni-skills/tree/main/skills/stability-ai into .claude/skills/stability-ai/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "stability-ai", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/diegosouzapw/awesome-omni-skills/tree/main/skills/stability-aiType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add diegosouzapw/awesome-omni-skills --skill stability-ai -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install diegosouzapw/awesome-omni-skills stability-ai --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/diegosouzapw/awesome-omni-skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/stability-ai .agents/skills/stability-ai && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "stability-ai" agent skill from https://github.com/diegosouzapw/awesome-omni-skills/tree/main/skills/stability-ai into .agents/skills/stability-ai/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "stability-ai", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add diegosouzapw/awesome-omni-skills --skill stability-ai -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install diegosouzapw/awesome-omni-skills stability-ai --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/diegosouzapw/awesome-omni-skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/stability-ai .cursor/skills/stability-ai && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "stability-ai" agent skill from https://github.com/diegosouzapw/awesome-omni-skills/tree/main/skills/stability-ai into .cursor/skills/stability-ai/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "stability-ai", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/diegosouzapw/awesome-omni-skills.git --path skills/stability-ai--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add diegosouzapw/awesome-omni-skills --skill stability-ai -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install diegosouzapw/awesome-omni-skills stability-ai --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/diegosouzapw/awesome-omni-skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/stability-ai .gemini/skills/stability-ai && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "stability-ai" agent skill from https://github.com/diegosouzapw/awesome-omni-skills/tree/main/skills/stability-ai into .gemini/skills/stability-ai/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "stability-ai", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install diegosouzapw/awesome-omni-skills stability-aiInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add diegosouzapw/awesome-omni-skills --skill stability-ai -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/diegosouzapw/awesome-omni-skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/stability-ai .github/skills/stability-ai && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "stability-ai" agent skill from https://github.com/diegosouzapw/awesome-omni-skills/tree/main/skills/stability-ai into .github/skills/stability-ai/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "stability-ai", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add diegosouzapw/awesome-omni-skills --skill stability-ai -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install diegosouzapw/awesome-omni-skills stability-ai --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/diegosouzapw/awesome-omni-skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/stability-ai .opencode/skills/stability-ai && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "stability-ai" agent skill from https://github.com/diegosouzapw/awesome-omni-skills/tree/main/skills/stability-ai into .opencode/skills/stability-ai/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "stability-ai", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
Facts
- Skill name
stability-ai- GitHub stars
- 159
- Token cost
- ~4.1k tokens
- SKILL.md length
- 1,619 words
- Files
- 10 (incl. scripts, references)
- Skills in repo
- 39
- Repo updated
- First seen
- Licence
- MIT
At a glance
Stability AI — Gerador de Imagens Profissional workflow skill.
- Works in 7 steps: Criar conta em platform.stability.ai… → Copiar API Key do dashboard → Colar no .env:… → …
- The user needs Geracao de imagens via Stability AI (SD3.5
- SKILL.md covers Overview, When to Use This Skill, Operating Table and Workflow, plus 5 more sections
- Runs Python scripts from its folder; calls python and pip; reaches github.com; needs STABILITY_API_KEY
What it does
Stability AI is an agent skill from diegosouzapw/awesome-omni-skills. Stability AI — Gerador de Imagens Profissional workflow skill. Use this skill when the user needs Geracao de imagens via Stability AI (SD3.5, Ultra, Core). Text-to-image, img2img, inpainting, upscale, remove-bg, search-replace. 15 estilos artisticos and the operator should preserve the upstream workflow, copied support files, and provenance before merging or handing off.
Its SKILL.md is about 4.1k tokens, which your agent loads only when the skill is triggered. The skill folder holds 11 other files, including scripts and reference files (for example `ORIGIN.md`, `metadata.json` and `references/api-reference.md`).
It sits in Media & Creative, covering Image generation and Image editing. It works with Stable Diffusion. The repository describes itself as: Public repository of AI coding skills, curated improved best-practice skills, and runtime surfaces for CLI, API, MCP, and A2A. The licence is MIT.
When your agent uses it
- The user needs Geracao de imagens via Stability AI (SD3.5
- Tasks that involve Image generation
- Tasks that involve Image editing
Example prompts
- “/stability-ai”
Requirements
- Python 3
- A credential in STABILITY_API_KEY
Workflow steps
7 steps, taken from the first numbered list in SKILL.md.
- Criar conta em platform.stability.ai (gratuito)
- Copiar API Key do dashboard
- Colar no .env: STABILITYAPIKEY=sk-sua-chave-aqui
- pip install -r scripts/requirements.txt
- Confirm the user goal, the scope of the imported workflow, and whether this skill is still the right router for the task.
- Read the overview and provenance files before loading any copied upstream support files.
- Load only the references, examples, prompts, or scripts that materially change the outcome for the current request.
What it can do on your machine
Read from SKILL.md and the folder at commit c3af004. It shows what the files ask for, not the result of running them.
Tool permissions
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Runs code
Ships 4 files in scripts/ (Python), which the agent can run.
Shell commands in SKILL.md call:
pythonpip
From the folder's file list and the shell code blocks in SKILL.md.
Network
Hosts in commands or code, which the agent is likely to contact:
github.com
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names these keys or tokens, usually read from environment variables:
STABILITY_API_KEY
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Context cost
Stability AI loads about 4.1k tokens when it runs, and up to ~8.2k if it reads all its reference files. Until then it costs about 97 tokens; SKILL.md has 1,619 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
Safety
Auto-check: notes
The automated check noted patterns worth knowing about, such as sudo or a known installer.
- NoteMentions a .env fileSKILL.md:57
3. Colar no .env: STABILITYAPIKEY=sk-sua-chave-aqui - NoteMentions a .env fileSKILL.md:69
3. Colar no `.env`: `STABILITY_API_KEY=sk-sua-chave-aqui`
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); the scripts in this folder are not scanned.
SKILL.md
The full file from diegosouzapw/awesome-omni-skills at commit c3af004, republished under its MIT licence (© diegosouzapw). 1,619 words, ~4,099 tokens.
Download SKILL.mdSave it as
.claude/skills/stability-ai/SKILL.md (or your agent's skills folder). This skill also uses 9 other files; get the full folder from GitHub.- name
- stability-ai
- description
- Stability AI — Gerador de Imagens Profissional workflow skill. Use this skill when the user needs Geracao de imagens via Stability AI (SD3.5, Ultra, Core). Text-to-image, img2img, inpainting, upscale, remove-bg, search-replace. 15 estilos artisticos and the operator should preserve the upstream workflow, copied support files, and provenance before merging or handing off.
- version
- 0.0.1
- category
- content-media
- tags
- image-generation, stable-diffusion, ai-art, api, stability-ai, geracao, imagens, via
- complexity
- advanced
- risk
- caution
- tools
- claude-code, antigravity, cursor, gemini-cli, codex-cli, opencode
- source
- community
- author
- renat
- date_added
- 2026-04-15
- date_updated
- 2026-04-25
Stability AI — Gerador de Imagens Profissional
Overview
This public intake copy packages plugins/antigravity-awesome-skills-claude/skills/stability-ai from https://github.com/sickn33/antigravity-awesome-skills into the native Omni Skills editorial shape without hiding its origin.
Use it when the operator needs the upstream workflow, support files, and repository context to stay intact while the public validator and private enhancer continue their normal downstream flow.
This intake keeps the copied upstream files intact and uses the external_source block in metadata.json plus ORIGIN.md as the provenance anchor for review.
Stability AI — Gerador de Imagens Profissional
Imported source sections that did not map cleanly to the public headings are still preserved below or in the support files. Notable imported sections: How It Works, Quando Usar Esta Skill Vs Ai-Studio-Image, 1. Modos De Operacao, 2. Exemplos De Uso, Geracao Basica (Sd 3.5 Large), Qualidade Maxima (Ultra).
When to Use This Skill
Use this section as the trigger filter. It should make the activation boundary explicit before the operator loads files, runs commands, or opens a pull request.
- When the user mentions "stability ai" or related topics
- When the user mentions "stable diffusion" or related topics
- When the user mentions "sd3.5" or related topics
- When the user mentions "gerar arte" or related topics
- When the user mentions "gerar ilustracao" or related topics
- When the user mentions "image to image" or related topics
Operating Table
| Situation | Start here | Why it matters |
|---|---|---|
| First-time use | metadata.json | Confirms repository, branch, commit, and imported path through the external_source block before touching the copied workflow |
| Provenance review | ORIGIN.md | Gives reviewers a plain-language audit trail for the imported source |
| Workflow execution | references/api-reference.md | Starts with the smallest copied file that materially changes execution |
| Supporting context | references/prompt-engineering.md | Adds the next most relevant copied source file without loading the entire package |
| Handoff decision | ## Related Skills | Helps the operator switch to a stronger native skill when the task drifts |
Workflow
This workflow is intentionally editorial and operational at the same time. It keeps the imported source useful to the operator while still satisfying the public intake standards that feed the downstream enhancer flow.
- Criar conta em platform.stability.ai (gratuito)
- Copiar API Key do dashboard
- Colar no .env: STABILITYAPIKEY=sk-sua-chave-aqui
- pip install -r scripts/requirements.txt
- Confirm the user goal, the scope of the imported workflow, and whether this skill is still the right router for the task.
- Read the overview and provenance files before loading any copied upstream support files.
- Load only the references, examples, prompts, or scripts that materially change the outcome for the current request.
Imported Workflow Notes
Imported: Setup Rapido
- Criar conta em platform.stability.ai (gratuito)
- Copiar API Key do dashboard
- Colar no
.env:STABILITY_API_KEY=sk-sua-chave-aqui pip install -r scripts/requirements.txt
Detalhes completos em references/setup-guide.md.
Imported: Overview
Geracao de imagens via Stability AI (SD3.5, Ultra, Core). Text-to-image, img2img, inpainting, upscale, remove-bg, search-replace. 15 estilos artisticos.
Imported: How It Works
Skill para gerar imagens artisticas e fotorrealistas usando a Stability AI API. Gratuito com Community License (sem limite para uso pessoal/pequenas empresas).
Examples
Example 1: Ask for the upstream workflow directly
Use @stability-ai to handle <task>. Start from the copied upstream workflow, load only the files that change the outcome, and keep provenance visible in the answer.Explanation: This is the safest starting point when the operator needs the imported workflow, but not the entire repository.
Example 2: Ask for a provenance-grounded review
Review @stability-ai against metadata.json and ORIGIN.md, then explain which copied upstream files you would load first and why.Explanation: Use this before review or troubleshooting when you need a precise, auditable explanation of origin and file selection.
Example 3: Narrow the copied support files before execution
Use @stability-ai for <task>. Load only the copied references, examples, or scripts that change the outcome, and name the files explicitly before proceeding.Explanation: This keeps the skill aligned with progressive disclosure instead of loading the whole copied package by default.
Example 4: Build a reviewer packet
Review @stability-ai using the copied upstream files plus provenance, then summarize any gaps before merge.Explanation: This is useful when the PR is waiting for human review and you want a repeatable audit packet.
Best Practices
Treat the generated public skill as a reviewable packaging layer around the upstream repository. The goal is to keep provenance explicit and load only the copied source material that materially improves execution.
- Provide clear, specific context about your project and requirements
- Review all suggestions before applying them to production code
- Combine with other complementary skills for comprehensive analysis
- Keep the imported skill grounded in the upstream repository; do not invent steps that the source material cannot support.
- Prefer the smallest useful set of support files so the workflow stays auditable and fast to review.
- Keep provenance, source commit, and imported file paths visible in notes and PR descriptions.
- Point directly at the copied upstream files that justify the workflow instead of relying on generic review boilerplate.
Imported Operating Notes
Imported: Best Practices
- Provide clear, specific context about your project and requirements
- Review all suggestions before applying them to production code
- Combine with other complementary skills for comprehensive analysis
Troubleshooting
Problem: The operator skipped the imported context and answered too generically
Symptoms: The result ignores the upstream workflow in plugins/antigravity-awesome-skills-claude/skills/stability-ai, fails to mention provenance, or does not use any copied source files at all.
Solution: Re-open metadata.json, ORIGIN.md, and the most relevant copied upstream files. Check the external_source block first, then restate the provenance before continuing.
Problem: The imported workflow feels incomplete during review
Symptoms: Reviewers can see the generated SKILL.md, but they cannot quickly tell which references, examples, or scripts matter for the current task.
Solution: Point at the exact copied references, examples, scripts, or assets that justify the path you took. If the gap is still real, record it in the PR instead of hiding it.
Problem: The task drifted into a different specialization
Symptoms: The imported skill starts in the right place, but the work turns into debugging, architecture, design, security, or release orchestration that a native skill handles better. Solution: Use the related skills section to hand off deliberately. Keep the imported provenance visible so the next skill inherits the right context instead of starting blind.
Show full SKILL.md (679 more words)Show less
Related Skills
@00-andruia-consultant- Use when the work is better handled by that native specialization after this imported skill establishes context.@00-andruia-consultant-v2- Use when the work is better handled by that native specialization after this imported skill establishes context.@10-andruia-skill-smith- Use when the work is better handled by that native specialization after this imported skill establishes context.@10-andruia-skill-smith-v2- Use when the work is better handled by that native specialization after this imported skill establishes context.
Additional Resources
Use this support matrix and the linked files below as the operator packet for this imported skill. They should reflect real copied source material, not generic scaffolding.
| Resource family | What it gives the reviewer | Example path |
|---|---|---|
references | copied reference notes, guides, or background material from upstream | references/api-reference.md |
examples | worked examples or reusable prompts copied from upstream | examples/n/a |
scripts | upstream helper scripts that change execution or validation | scripts/config.py |
agents | routing or delegation notes that are genuinely part of the imported package | agents/n/a |
assets | supporting assets or schemas copied from the source package | assets/n/a |
- api-reference.md
- prompt-engineering.md
- setup-guide.md
- config.py
- generate.py
- requirements.txt
- styles.py
Imported Reference Notes
Imported: Quando Usar Esta Skill Vs Ai-Studio-Image
| Cenario | Skill recomendada |
|---|---|
| Foto humanizada para Instagram/redes sociais | ai-studio-image |
| Arte digital, ilustracao, concept art | stability-ai |
| Foto com camera de celular (realismo casual) | ai-studio-image |
| Fotorrealismo cinematografico (8K, detalhado) | stability-ai |
| Material educacional com visual profissional | ai-studio-image |
| Poster, wallpaper, book cover, game asset | stability-ai |
| Inpainting (editar parte de uma imagem) | stability-ai |
| Upscale (aumentar resolucao) | stability-ai |
| Remover fundo de imagem | stability-ai |
| Search & Replace (trocar objeto em imagem) | stability-ai |
| Apagar elemento de uma imagem | stability-ai |
Imported: 1. Modos De Operacao
| Comando | O que faz | Endpoint |
|---|---|---|
--mode generate | Texto para imagem (SD3.5) | /generate/sd3 |
--mode ultra | Texto para imagem premium | /generate/ultra |
--mode core | Texto para imagem rapido | /generate/core |
--mode img2img | Imagem + texto para nova imagem | /generate/sd3 |
--mode upscale | Aumentar resolucao (conservativo) | /upscale/conservative |
--mode upscale-creative | Aumentar resolucao com detalhes | /upscale/creative |
--mode remove-bg | Remover fundo (PNG transparente) | /edit/remove-background |
--mode inpaint | Editar parte da imagem (mascara) | /edit/inpaint |
--mode search-replace | Trocar objeto por descricao | /edit/search-and-replace |
--mode erase | Apagar parte da imagem | /edit/erase |
Imported: 2. Exemplos De Uso
#### Imported: Geracao Basica (Sd 3.5 Large)
python scripts/generate.py --prompt "a serene mountain landscape at sunset" --mode generate
#### Imported: Qualidade Maxima (Ultra)
python scripts/generate.py --prompt "cinematic portrait, dramatic lighting" --mode ultra --aspect-ratio 16:9
#### Imported: Rapido Para Iteracao (Core)
python scripts/generate.py --prompt "cute cat ninja" --mode core --style anime
#### Imported: Image-To-Image
python scripts/generate.py --prompt "watercolor style" --mode img2img --image foto.jpg --strength 0.7
#### Imported: Upscale Conservativo
python scripts/generate.py --prompt "landscape photo" --mode upscale --image foto_pequena.jpg
#### Imported: Remover Fundo
python scripts/generate.py --mode remove-bg --image produto.jpg
#### Imported: Inpainting Com Mascara
python scripts/generate.py --prompt "red roses" --mode inpaint --image jardim.jpg --mask mascara.png
#### Imported: Search & Replace
python scripts/generate.py --prompt "a golden retriever" --mode search-replace --image parque.jpg --search "the cat"
#### Imported: Apagar Objeto
python scripts/generate.py --mode erase --image foto.jpg --mask area.png
#### Imported: Listar Modelos
python scripts/generate.py --list-models
#### Imported: Listar Estilos
python scripts/generate.py --list-styles
#### Imported: Analisar Prompt (Sugestoes Automaticas)
python scripts/generate.py --prompt "anime warrior girl, widescreen" --analyze --jsonImported: 3. Aspect Ratios
| Nome | Ratio | Aliases | Uso tipico |
|---|---|---|---|
| square | 1:1 | ig, instagram, quadrado | Feed Instagram |
| portrait | 2:3 | retrato, pinterest | Retrato, poster |
| landscape | 3:2 | paisagem, horizontal | Paisagem, banner |
| photo | 4:5 | ig-feed | Instagram feed otimizado |
| wide | 16:9 | widescreen, youtube, cinema, wallpaper | Cinema, YT |
| ultrawide | 21:9 | — | Monitor ultrawide |
| stories | 9:16 | vertical, tiktok, ig-stories | Stories, Reels |
| phone | 9:21 | — | Wallpaper celular |
Imported: 4. Estilos (15 Presets)
Cada estilo adiciona qualificadores automaticamente ao prompt:
| Estilo | Descricao | Ideal para |
|---|---|---|
| photorealistic | Fotorrealismo cinematografico | Retratos, cenas |
| anime | Anime/Manga japones | Personagens, cenas |
| digital-art | Arte digital detalhada | Ilustracoes gerais |
| oil-painting | Pintura a oleo classica | Arte classica |
| watercolor | Aquarela fluida | Arte delicada |
| pixel-art | Pixel art retro 8/16-bit | Games retro |
| 3d-render | Render 3D fotorrealista | Produtos, cenas 3D |
| concept-art | Concept art profissional | Games, filmes |
| comic | Comics/HQ estilizado | Quadrinhos |
| minimalist | Minimalista limpo | Design, logos |
| fantasy | Fantasy art epico | RPG, medieval |
| sci-fi | Sci-fi futurista | Cyberpunk, espaco |
| sketch | Desenho a lapis/carvao | Estudos, rascunhos |
| pop-art | Pop art vibrante | Arte moderna |
| noir | Film noir dramatico | Atmosfera sombria |
Imported: 5. Output
Imagens salvas em data/outputs/ com naming: {mode}_{style}_{timestamp}_{index}.png
Metadados salvos em .meta.json com: prompt original, prompt final, modelo, aspect ratio, seed, tempo, tamanho.
Imported: Integracao Com Outras Skills
- ai-studio-image: Complementar — Stability AI para arte, Gemini para fotos humanizadas
- instagram: Gerar arte → publicar no Instagram
- telegram: Gerar imagem → enviar via bot
Imported: Rate Limits & Seguranca
- Community License: 150 requests/10 segundos
- Limite diario: 100 imagens/dia (configuravel via
SAFETY_MAX_IMAGES_PER_DAY) - Retry automatico com backoff exponencial em caso de 429
- Fallback de API keys (primaria + backups)
Imported: Referencia De Arquivos
| Arquivo | Quando consultar |
|---|---|
references/setup-guide.md | Setup inicial, API key, troubleshooting |
references/prompt-engineering.md | Tecnicas avancadas de prompt |
references/api-reference.md | Endpoints, parametros, respostas, erros |
Imported: Common Pitfalls
- Using this skill for tasks outside its domain expertise
- Applying recommendations without understanding your specific context
- Not providing enough project context for accurate analysis
Imported: Limitations
- Use this skill only when the task clearly matches the scope described above.
- Do not treat the output as a substitute for environment-specific validation, testing, or expert review.
- Stop and ask for clarification if required inputs, permissions, safety boundaries, or success criteria are missing.
© diegosouzapw, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Files
SKILL.md and 9 other files (scripts, references) in skills/stability-ai of diegosouzapw/awesome-omni-skills.
- SKILL.md
- ORIGIN.md
- metadata.json
- references/api-reference.md
- references/prompt-engineering.md
- references/setup-guide.md
- scripts/config.py
- scripts/generate.py
- scripts/requirements.txt
- scripts/styles.py
Open the folder on GitHubat commit c3af004
Compare with similar skills
Stability AI next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Stability AI this skilldiegosouzapw/awesome-omni-skills | 159 | — | ~4.1k | Automated safety check: Notes | MIT | |
| Stable Diffusion with DiffusersOrchestra-Research/AI-Research-SKILLs | 13k | 6 repos | ~3.2k | Automated safety check: Pass | MIT | |
| Imageguaardvark/guaardvark | 255 | — | ~1.8k | Automated safety check: Pass | MIT | |
| Stability AImajiayu000/claude-skill-registry | 666 | 3 repos | ~2k | Automated safety check: Notes | MIT | |
| Fal AImajiayu000/claude-skill-registry | 666 | 1 repos | ~2.1k | Automated safety check: Notes | MIT | |
| Workflow Template BuilderMooshieblob1/MooshieUI | 207 | — | ~640 | Automated safety check: Pass | AGPL-3.0 |
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Questions about Stability AI
What does Stability AI do?
Stability AI — Gerador de Imagens Profissional workflow skill. Stability AI is an agent skill from diegosouzapw/awesome-omni-skills. Stability AI — Gerador de Imagens Profissional workflow skill.
When should I use Stability AI?
Stability AI fits situations like: the user needs Geracao de imagens via Stability AI (SD3.5; tasks that involve Image generation; tasks that involve Image editing.
How do I install Stability AI in Claude Code?
Run `npx skills add diegosouzapw/awesome-omni-skills --skill stability-ai -a claude-code`. Or copy the skill folder (skills/stability-ai in diegosouzapw/awesome-omni-skills) into .claude/skills/stability-ai in your project. Claude Code loads it when a task matches its description.
How do I install Stability AI in Codex?
Run `npx skills add diegosouzapw/awesome-omni-skills --skill stability-ai -a codex`. Or copy the skill folder (skills/stability-ai in diegosouzapw/awesome-omni-skills) into .agents/skills/stability-ai in your project. Codex loads it when a task matches its description.
Can I use Stability AI in Cursor, Gemini CLI or GitHub Copilot?
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add diegosouzapw/awesome-omni-skills --skill stability-ai -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/stability-ai, .gemini/skills/stability-ai, .github/skills/stability-ai and .opencode/skills/stability-ai in your project.
What does Stability AI need to run?
Going by SKILL.md and its folder, Stability AI needs Python for the scripts in its folder, the command-line tools its instructions call (python and pip) and credentials named STABILITY_API_KEY. Our summary lists: Python 3; A credential in STABILITY_API_KEY.
Does Stability AI access the network?
SKILL.md names 1 domain. In commands or code: github.com; the agent is likely to contact it when it follows the instructions. This is read from the text; nothing was executed.
Is Stability AI safe to install?
Our automated static check of SKILL.md found notes only (mentions a .env file), nothing it rates as a warning. It is not a guarantee. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.
What licence does Stability AI use?
Stability AI is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does Stability AI use?
About 4.1k tokens (SKILL.md is roughly 16k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 4.1k tokens, read only when the agent opens those files.
What are the alternatives to Stability AI?
Skills that share tags, products or a category with Stability AI: Stable Diffusion with Diffusers (Orchestra-Research/AI-Research-SKILLs, 13k stars), Image (guaardvark/guaardvark, 255 stars), Stability AI (majiayu000/claude-skill-registry, 666 stars) and Fal AI (majiayu000/claude-skill-registry, 666 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Stability AI?
diegosouzapw (a GitHub user) maintains it in diegosouzapw/awesome-omni-skills, which has 159 GitHub stars. The repository holds 39 skills in this directory. The repository was last updated on July 8, 2026.
Source: diegosouzapw/awesome-omni-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.