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feat(ideogram4): add Ideogram 4 model support

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Diffusers-native port of the 9.3B flow-matching DiT: dual-transformer asymmetric CFG, a 13-layer Qwen3-VL tap encoder deduped with VQA and prompt-enhance, the Flux.2 VAE, and a logit-normal schedule. Loads a published bf16 repo with SDNQ at load.
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CalamitousFelicitousness
2026-06-04 01:00:01 +01:00
parent 624c304f4b
commit 2f3d0e719d
16 changed files with 1140 additions and 1 deletions
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data/reference.json
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@@ -184,6 +184,14 @@
"size": 20.3,
"date": "2025 November"
},
"Ideogram 4": {
"path": "CalamitousFelicitousness/Ideogram-4-bf16-Diffusers",
"desc": "Ideogram 4 is Ideogram's first open-weight text-to-image model: a 9.3B flow-matching single-stream DiT that uses a Qwen3-VL vision-language model as its text encoder, with strong in-image text rendering. Requires structured JSON-caption prompts; a plain-text prompt returns a built-in safety placeholder. Non-commercial license.",
"skip": true,
"extras": "sampler: Default, cfg_scale: 7.0, steps: 20, width: 1024, height: 1024",
"size": 50.0,
"date": "2026 June"
},
"Baidu ERNIE-Image": {
"path": "baidu/ERNIE-Image",
"preview": "baidu--ERNIE-Image.jpg",