"Routes Stable Diffusion walk, music-video, still-image,
Scanned 9/9/2026
Install to Claude Code
npx -y skills add VectorSpaceLab/AREX-Skill --skill generation --agent claude-codeInstalls into .claude/skills of the current project.
Are you the author of Generation?
Add the live security badge to your README — it updates automatically with every re-scan.
[](https://www.skillsdirectory.com/skills/vectorspacelab-generation-df256163)More formats (shields.io, HTML) on the badges page.
---
name: generation
description: "Routes Stable Diffusion walk, music-video, still-image,
audio-timing, and upsampling workflows for stable_diffusion_videos."
disable-model-invocation: true
metadata:
disco-role: operating
license: Apache 2.0
---
# generation
Use this sub-skill when the task is to create images or videos with the
Diffusers pipelines exposed by `stable_diffusion_videos`.
## What this route owns
- `StableDiffusionWalkPipeline.walk(...)`
- `StableDiffusionWalkPipeline.make_clip_frames(...)`
- `generate_images(...)`
- `generate_images_flax(...)` as an optional backend reference
- `get_timesteps_arr(...)`
- `make_video_pyav(...)`
- `RealESRGANModel` loading and folder upsampling
- prompt / seed validation, frame layouts, and audio-driven interpolation
## What this route excludes
- Gradio UI launchers and tab wiring, which belong to `ui`
- repository maintenance and packaging tasks
- heavyweight training or checkpoint creation
## Read these bundled files
- `references/workflows.md` for end-to-end command patterns and output layout.
- `references/troubleshooting.md` for generation-specific failures and recovery.
- `references/flax-and-tpu.md` if you need the optional JAX/Flax/TPU path.
- `../../references/api-reference.md` for exact public signatures.
- `../../references/repo-provenance.md` for source snapshot and evidence paths.
## Common tasks
### Make a prompt walk
Start with `references/workflows.md` or run the template script with `--dry-run`
first. Then switch to `--run` when you are ready to download the model and use
CUDA.
### Make a music video
Use the audio offsets recipe, compute interpolation steps from the offsets and
FPS, and confirm the frame count before generating.
### Generate still images
Use `generate_images(...)` when you want prompt-conditioned image batches
instead of a walk.
### Preview audio timing
Use `scripts/preview_audio_timesteps.py` to inspect the interpolation weights for
a local audio file before running a long generation.
### Upsample frames or folders
Use `RealESRGANModel` only when you really need the 4x upsampling path. It is
optional, heavier, and can be slow on CPU.
## Backends and prerequisites
- The main walk workflow is GPU-oriented.
- `height` and `width` must be multiples of 8.
- `ffmpeg` with `libx264` must be available for MP4 encoding.
- `librosa` is needed for audio-timed interpolation.
- `realesrgan` is only needed for the upsampling path.
## Workflow boundaries
If you are unsure whether a request is a generation or UI task, choose this
sub-skill when the user names `walk`, `generate_images`, `audio_filepath`,
`get_timesteps_arr`, `make_video_pyav`, `RealESRGANModel`, or `upsample`.
Choose `ui` when the request is about the Gradio demo or launch parameters.
Is this your skill, or is something wrong with this listing? Request removal or report an issue. Author removals are honored within 72 hours.
No comments yet. Be the first to comment!