Fix Qwen 2.1 GGUF load: promote Q8 norms to F32 and wire TextEncode latent.
abenzerps Q8_0 ships 1D RMSNorms as packed Q8 (136 vs 128), which breaks Comfy rms_rope; tagger now dequantizes small tensors and the graph uses TextEncodeQwenImage21's 64-ch latent plus AuraFlow shift. Co-authored-by: Cursor <cursoragent@cursor.com>
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@@ -135,17 +135,17 @@ async function prepareGraph(r: any) {
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s.width = size.width;
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s.height = size.height;
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graph = structuredClone(qwen21Template);
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graph['9'].inputs.text = q.compiledPrompt;
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graph['10'].inputs.text = stylePrompt(q.imageStyles, true);
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graph['14'].inputs.width = size.width;
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graph['14'].inputs.height = size.height;
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graph['9'].inputs.prompt = q.compiledPrompt;
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graph['9'].inputs.negative_prompt = stylePrompt(q.imageStyles, true);
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// TextEncodeQwenImage21 builds the 64-ch empty latent from resolution (square T2I).
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graph['9'].inputs.resolution = Math.max(size.width, size.height);
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graph['15'].inputs.seed = s.seed;
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graph['15'].inputs.steps = s.steps || 25;
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graph['15'].inputs.cfg = s.cfg ?? 1;
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graph['15'].inputs.sampler_name = 'euler';
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graph['15'].inputs.scheduler = 'simple';
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graph['21'].inputs.filename_prefix = prefix + '/image';
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r.sampleLatent = 'empty latent';
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r.sampleLatent = 'qwen21 textencode latent';
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r.sampleDenoise = null;
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r.heroReferenceAttached = false;
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r.graphId = 'studio2_qwen21_t2i.json';
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