{
 "schema_version": 1,
 "generated": "2026-10-31",
 "id": "huggingface-diffusers--generate-images-from-text-in-python",
 "repo": "huggingface/diffusers",
 "repo_url": "https://github.com/huggingface/diffusers",
 "repo_slug": "huggingface-diffusers",
 "title": "Generate images from text in a few lines of Python",
 "page_title": "How to generate images from text in a few lines of Python with Diffusers",
 "summary": "Load a pretrained pipeline from the Hub with from_pretrained and generate images from prompts.",
 "who": "A developer adding image generation to a script, app or notebook.",
 "problem": "Wiring up a diffusion model by hand means dealing with tokenizers, schedulers and model weights separately.",
 "outcome": "Generated images from any of thousands of Hub checkpoints using one pipeline object.",
 "steps": [
  "Install with `pip install --upgrade diffusers[torch]`",
  "Load a pipeline: `DiffusionPipeline.from_pretrained(\"stable-diffusion-v1-5/stable-diffusion-v1-5\", dtype=torch.float16)`",
  "Move it to the GPU with pipeline.to(\"cuda\")",
  "Call the pipeline with a prompt such as An image of a squirrel in Picasso style and take images[0]",
  "Browse the Hub for other checkpoints and swap the model id"
 ],
 "agent_prompt": "Using huggingface/diffusers, write a script that loads <model id> with DiffusionPipeline in float16 on CUDA, generates 4 images for <prompt> with fixed seeds, and saves them as PNG files in <folder>.",
 "agents": [
  "claude-code",
  "codex",
  "cursor"
 ],
 "difficulty": "Beginner",
 "time": "20 minutes",
 "basis": "readme",
 "caveat": "Check each model's license on the Hub before using its images commercially; some checkpoints restrict use.",
 "category": "Content",
 "tags": [
  "Content"
 ],
 "lang": "python",
 "requirements": [
  "Python in a virtual environment",
  "PyTorch; install with `pip install --upgrade diffusers[torch]` or conda",
  "An NVIDIA GPU for the README examples, which call to cuda; Apple Silicon has its own guide"
 ],
 "risk": "none",
 "seen_in_the_wild": false,
 "mentioned_publicly": false,
 "risks": [],
 "best": true,
 "score": 1.0,
 "evidence": [],
 "url": "https://dedupedai.com/use-cases/huggingface-diffusers/generate-images-from-text-in-python/",
 "md": "https://dedupedai.com/use-cases/huggingface-diffusers/generate-images-from-text-in-python/index.md",
 "disclaimer": "Deduped lists open-source repositories that belong to other people. We do not own, maintain, audit, or vouch for any of them, and a repo appearing here is not an endorsement or a safety check. The use cases, steps, and prompts are written by AI and may be incomplete, outdated, or just wrong. Where a use case is marked \"Seen in the wild\", we link to public posts where someone described something similar, but we have not verified those posts and the use case itself is still our AI's own write-up. Use all of this at your own risk. Only run code, commands, or agents on systems and accounts you are authorized to use, and read the code and every command before you run it, especially anything that touches credentials, files, or the network. Nothing here is professional, security, legal, or financial advice. All trademarks and project names belong to their respective owners, and their use here does not imply affiliation. Content is provided as is, without warranties of any kind. Found a mistake, a safety problem, or something you want removed? Email hello@dedupedai.com and we will look at it promptly.",
 "api": "https://dedupedai.com/api/v1/usecases/huggingface-diffusers--generate-images-from-text-in-python.json",
 "api_version": "v1"
}