3 Commits

Include renames

Author	SHA1	Message	Date
steve	ae2615ca68	feat(faceswap): carry the measured outcome, not just the image ... A face swap always returns an image and always looks like success. Whether the likeness actually transferred is a different question, and until now nothing in the response answered it — so a caller wanting to know went and asked a vision model instead. That is wrong in precisely the cases that matter: shown a jogger in a Georgetown cap holding McDonald's cups, a VLM answers "Bill Clinton" whoever's face is on him. In the run that prompted this it reported failure on six consecutive CORRECT swaps (measured afterwards at 0.79-0.84 cosine), and the caller burned 21 minutes chasing a problem that did not exist. Result.SwappedFaces now carries, per replaced face: pixel size, the target image's dimensions, head yaw, and cosine similarity between the source face and the face actually present in the output. Yaw and FractionOfImage are the two that explain the complaint. The swap in question replaced a 138px face in a 1010px-wide photo — 14% of the width, correct and invisible at a glance — and elsewhere a face turned -82 degrees, where the features carrying identity are edge-on and any swap reads as a generic person. Same code on a 168px face in a 385px picture (44%, yaw 2) is unmistakable. None of that was inferable from a bounding box. Typed on Result rather than stuffed into Raw: a caller has to act on this, and a value reachable only by type-asserting an `any` is one nobody finds in time. doRawHeaders is doRaw with the whole header instead of only Content-Type; doRaw delegates to it, so the other 25 call sites are untouched and there is still one place where the status check and the size cap live. A missing or malformed header yields nil, not an error — an older shim sends no header, and a swap that produced a good image must not fail because the diagnostics beside it were unreadable. Covered for absent/garbage/wrong-type, and the parse is break-checked.	2026-07-31 17:49:27 -04:00
steve	a744cdc335	feat(imagegen): optional per-request generation settings ... Add Steps, CFGScale, NegativePrompt, Sampler, Seed to imagegen.Request (pointer/empty = leave the backend's per-model default), with mirror options, and forward them in the llamaswap wire payload as the stable-diffusion.cpp fields (steps/cfg_scale/negative_prompt/ sample_method/seed). Unset fields are omitted so sd-server keeps its baked defaults. Lets callers (e.g. mort drawbots) override only what they explicitly set.	2026-06-28 19:05:49 -04:00
steveandClaude Opus 4.8	96c612e707	feat(llamaswap): add llama-swap provider + canonical imagegen interface ... Add provider/llamaswap, a tailored provider for llama-swap (the model-swapping proxy over llama.cpp / stable-diffusion.cpp). Its chat path delegates to provider/openai at {base}/v1 — no duplicated wire client (ADR-0007) — with legacy max_tokens, a Bearer no-key placeholder for keyless local instances, and a timeout-free client so cold model swaps rely on context deadlines. The "tailored" surface is concrete management methods (ListModels / Running / Unload) that don't belong on the canonical llm.Provider interface. The llama-swap:// DSN scheme builds an http base URL (local-first); a no-URL built-in errors clearly on use, mirroring foreman. Add imagegen, a new canonical text-to-image interface separate from llm (Request/Result/Model/Provider; Image = llm.ImagePart so generated images feed straight back into chat). First backend is llama-swap via OpenAI /v1/images/generations (b64_json, bytes-only). Re-exported from the root. v1 is txt2img only. Hermetic httptest coverage for chat delegation, management endpoints, image decode, and scheme wiring. ADR-0015 + ADR-0016, README support matrix + image-gen section, CLAUDE.md package map, and progress.md updated in the same commit. Co-Authored-By: Claude Opus 4.8 (1M context) <[email protected]>	2026-06-27 15:01:54 -04:00