350e46bf2e
Alpha-VLLM/Lumina-Image-2.0 is a 2.6B single-stream DiT with a Gemma2-2B encoder and a standard 16-channel VAE, all transformers-4.x-compatible, so the generic from_pretrained pipeline path loads it as a new lumina-2 family: - Family entry (Lumina2Pipeline / Lumina2Transformer2DModel), aliased to lumina-image-2.0 / lumina-image-2 / lumina2. No bare lumina alias: Lumina-Next checkpoints are a different arch and must stay unknown rather than crash mid-load. bf16-only upstream, so the fp16 fallback stays off like z-image. - Trust the official repo for non-GGUF loads; bf16 component table entry (ships fp32, ~5.2 GB transformer + 5.2 GB encoder bf16-resident). - Generation defaults 50 steps / guidance 4.0 per the model card, and the generate call passes the card's cfg_trunc_ratio=0.25 itself (family-gated, signature-gated): the pipeline default (1.0) runs the CFG double-forward on every step and oversaturates output. - Catalog group with the single ungated bf16 pipeline artifact (11 GB resident) plus routing assertions; images page defaults row. - No GGUF artifact: none exists upstream (only finetune/LLM quants), so the dense transformer_quant fast path (GGUF-kind-only) stays unreachable for now. Offline probes of the future prequant campaign: int8 and fp8 both engage and render cleanly (fp8 LPIPS 0.11 vs bf16, int8 0.33 from 50-step trajectory drift with intact quality), so neither scheme is family-denied. |
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| .. | ||
| assets | ||
| auth | ||
| core | ||
| hub | ||
| loggers | ||
| models | ||
| plugins | ||
| requirements | ||
| routes | ||
| state | ||
| storage | ||
| tests | ||
| utils | ||
| __init__.py | ||
| _platform_compat.py | ||
| cloudflare_tunnel.py | ||
| colab.py | ||
| main.py | ||
| run.py | ||
| startup_banner.py | ||