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README.md

@@ -320,6 +320,30 @@ hair, faces, props); hips-centred framing (no visible travel); ~0.3 % of frames
 wrists invisible at ≤256 px; `prompt_mismatch` flags are heuristics; camera pitch sign follows the stick dataset
 (positive = from slightly below).
 
+## Baselines & tutorial
+
+Two tracks, both trained on `mini` (64px):
+
+**🤗 diffusers-standard** — load with three lines, everything transfers to any diffusers project:
+- [sprited/dancing-chibi-figures-ddpm-64](https://huggingface.co/sprited/dancing-chibi-figures-ddpm-64) — unconditional `DDPMPipeline` (UNet2DModel, 4-channel RGBA).
+- [sprited/dancing-chibi-figures-t2i-64](https://huggingface.co/sprited/dancing-chibi-figures-t2i-64) — **text-to-image**: a miniature Stable Diffusion (UNet2DConditionModel + frozen CLIP + classifier-free guidance, no VAE).
+
+```python
+from diffusers import DiffusionPipeline
+pipe = DiffusionPipeline.from_pretrained("sprited/dancing-chibi-figures-t2i-64",
+                                         custom_pipeline="sprited/dancing-chibi-figures-t2i-64",
+                                         trust_remote_code=True)
+imgs = pipe(["a person jumps in place"] * 4, num_inference_steps=50, guidance_scale=3.0).images
+```
+
+**pure PyTorch** — [sprited/dancing-chibi-figures-baselines](https://huggingface.co/sprited/dancing-chibi-figures-baselines):
+a 64px image model and a **text-conditioned autoregressive video** model (chunked diffusion, CLIP prompt embeddings);
+trainer and `scripts/rollout.py` in the code repo. A ComfyUI node (`comfy/qversion-chibi`) wraps the image checkpoints.
+
+**📓 Colab tutorial** — [dancing_chibi_figures_colab.ipynb](https://github.com/sprited-ai/dancing-chibi-figures/blob/main/notebooks/dancing_chibi_figures_colab.ipynb):
+look at the data, train the text-to-image model from scratch, turn it into a video model, grade it with a counting
+robot — free-T4-sized, written for absolute beginners. (Sequel to the stick-figures notebook.)
+
 ## Versioning
 
 v0.1 (2026-08) first public cut. Planned v0.2: more prompts (a curated set of ~300 from a chibi pose reference book),