v1: curated production adapters of the diffusion aleph line (amoe.diffusion.anchor safetensors, provenance in metadata; sd15 core eps + lune flow + anima NC)

README.md

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+---
+license: mit
+base_model:
+- stable-diffusion-v1-5/stable-diffusion-v1-5
+tags:
+- adapters
+- aleph
+- amoe-lora
+- diffusion
+- stable-diffusion
+---
+
+# aleph-diffusion-adapters — the production artifacts of the diffusion aleph line
+
+**This is the curated adapters repo.** The full research record (16
+experiment packages, raw ledgers, 2-seed program) is
+[geolip-aleph-diffusion](https://huggingface.co/AbstractPhil/geolip-aleph-diffusion);
+the framework that loads everything here is
+[amoe-lora](https://huggingface.co/AbstractPhil/amoe-lora) (`pip install
+amoe-lora[diffusion]`); the article is
+[Part 3-D](https://huggingface.co/AbstractPhil/geolip-aleph-diffusion/blob/main/article_ft3d.md).
+
+Every file is an `amoe.diffusion.anchor` safetensors (canonical
+`blocks.{site}.{param}` layout, full provenance in the metadata,
+content-hash verified). Nothing here modifies trunk weights: adapters
+attach to a frozen model, toggle off bit-exactly, and detach with
+verification.
+
+## The artifacts
+
+| file | trunk | what it is | evidence status |
+|---|---|---|---|
+| `sd15/relay_all16_s0/.s1` | SD1.5 core (eps) | the certified 16-site relay stack — grounding +0.1809→+0.2172 over zero-shot, beats matched LoRA which traded grounding away | exp006, candidate s0 + s1 replication |
+| `sd15/mb3_s0/.s1` | SD1.5 core (eps) | the multiband stack: 3 band experts/site on the sigma axis; band lesions SURGICAL (own-band damage 50–200× cross-band); the step-gated controller moved image-space grounding +0.089 over frozen | exp008 2-seed + exp010 battery |
+| `sd15-lune-flow/relay_all16_s0` | SD15-Lune flow | the first certified diffusion relay (−0.85% paired val, LoRA control WORSE than frozen) | exp001, candidate s0 (s1 replicated vs frozen) |
+| `sd15-lune-flow/blob_mb3_s0/.s1` | SD15-Lune flow | the conditioning-law stack: blob-supervised HIGH band at λ≈1 (−8.3% on the role-aligned foreground gauge, common gauge in bound) | exp013, 2-seed |
+| `anima/aleph_relay_epoch4` | Anima 2B DiT (flow) | 28-block bf16 relay trained through the diffusion-pipe fork (native LoRA control DEGRADED while this improved) | exp004, candidate s0 · **NC** (CircleStone NC + NVIDIA OML — derived checkpoint) |
+
+Honest scope: these are research-grade adapters from a four-day 2-seed
+campaign, certified on their gauges (paired flow/eps-MSE, CLIP round-trip
+grounding, band lesions, the role-aligned foreground gauge) — not
+aesthetics-tuned style adapters. What they buy is measured and cited row
+by row; read the linked packages before deploying.
+
+## Quickstart
+
+```python
+# pip install amoe-lora[diffusion]
+import torch, amoe.diffusion as ad
+from diffusers import StableDiffusionPipeline
+from huggingface_hub import hf_hub_download
+
+pipe = StableDiffusionPipeline.from_pretrained(
+    "stable-diffusion-v1-5/stable-diffusion-v1-5",
+    torch_dtype=torch.float32).to("cuda")
+
+h = ad.attach(pipe.unet, hf_hub_download(
+    "AbstractPhil/aleph-diffusion-adapters", "sd15/mb3_s0.safetensors"))
+img = ad.sample(pipe, h, "a lighthouse at dusk", seed=7)   # step-gated
+
+with h.lesion_band(2):        # generate WITHOUT the HIGH/structure band
+    img2 = ad.sample(pipe, h, "a lighthouse at dusk", seed=7)
+base = h.detach()             # verified bit-exact, or it raises
+```
+
+The relay stacks attach the same way (no windows needed). The
+`sd15-lune-flow/` artifacts belong on the
+[Lune flow trunk](https://huggingface.co/AbstractPhil/sd15-flow-lune-json-prompt)
+(ckpt-2500) with `objective="flow"` sampling — the metadata records the
+trunk id; `ad.attach` warns on substrate mismatch.
+
+## ComfyUI
+
+Planned as `comfyui-amoe` (next release): loader / attach / band-toggle /
+detach nodes consuming exactly these files, with step gating installed as
+a pre-forward hook so any stock KSampler becomes step-gated. The node
+asserts each anchor's site count + width signature from the metadata
+before patching — a silent enumeration mismatch loads plausibly and
+corrupts quietly, so it ships only behind an image-parity check.
+
+## Training your own
+
+Single GPU / DDP: `amoe.diffusion.train` (five lines — see the
+[amoe-lora card](https://huggingface.co/AbstractPhil/amoe-lora)).
+Multi-GPU production: the
+[diffusion-pipe fork](https://github.com/AbstractEyes/diffusion-pipe)
+with `aleph_relay = true` (relay + multiband modes; saves land in this
+repo's format).
+
+## Licenses
+
+MIT for this repo's own content and the SD1.5-family adapters. The
+`anima/` adapter is a DERIVED checkpoint of NC-licensed weights
+(CircleStone NC + NVIDIA Open Model License) — non-commercial use only.

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