fix(mcp-image-gen): merge CFGGuider workflow fix for FLUX.2 Klein 4B
This commit is contained in:
@@ -1,73 +1,98 @@
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{
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"6": {
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"1": {
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"class_type": "CLIPLoader",
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"inputs": {
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"clip_name": "qwen_3_4b_bfl.safetensors",
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"type": "flux2",
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"device": "default"
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}
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},
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"2": {
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"class_type": "CLIPTextEncode",
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"inputs": {
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"clip": ["30", 0],
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"clip": ["1", 0],
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"text": "PROMPT_PLACEHOLDER"
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}
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},
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"8": {
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"class_type": "VAEDecode",
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"3": {
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"class_type": "CLIPTextEncode",
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"inputs": {
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"samples": ["13", 0],
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"vae": ["31", 0]
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"clip": ["1", 0],
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"text": "NEGATIVE_PLACEHOLDER"
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}
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},
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"9": {
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"class_type": "SaveImage",
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"4": {
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"class_type": "UNETLoader",
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"inputs": {
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"filename_prefix": "mcp-image-gen",
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"images": ["8", 0]
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"unet_name": "flux-2-klein-4b.safetensors",
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"weight_dtype": "default"
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}
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},
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"13": {
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"class_type": "KSampler",
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"inputs": {
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"cfg": 1.0,
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"denoise": 1.0,
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"latent_image": ["27", 0],
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"model": ["32", 0],
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"negative": ["33", 0],
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"positive": ["6", 0],
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"sampler_name": "euler",
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"scheduler": "beta",
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"seed": 42,
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"steps": 4
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}
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},
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"27": {
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"class_type": "EmptySD3LatentImage",
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"inputs": {
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"batch_size": 1,
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"height": 1024,
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"width": 1024
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}
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},
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"30": {
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"class_type": "CLIPLoader",
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"inputs": {
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"clip_name": "qwen_3_4b_heretic.safetensors",
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"type": "flux"
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}
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},
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"31": {
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"5": {
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"class_type": "VAELoader",
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"inputs": {
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"vae_name": "flux2-vae.safetensors"
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}
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},
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"32": {
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"class_type": "UNETLoader",
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"6": {
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"class_type": "EmptyFlux2LatentImage",
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"inputs": {
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"unet_name": "flux-2-klein-4b.safetensors",
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"weight_dtype": "fp8_e4m3fn"
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"width": 1024,
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"height": 1024,
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"batch_size": 1
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}
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},
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"33": {
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"class_type": "CLIPTextEncode",
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"7": {
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"class_type": "Flux2Scheduler",
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"inputs": {
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"clip": ["30", 0],
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"text": "NEGATIVE_PLACEHOLDER"
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"steps": 20,
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"width": 1024,
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"height": 1024
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}
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},
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"8": {
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"class_type": "CFGGuider",
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"inputs": {
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"model": ["4", 0],
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"positive": ["2", 0],
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"negative": ["3", 0],
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"cfg": 5
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}
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},
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"9": {
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"class_type": "KSamplerSelect",
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"inputs": {
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"sampler_name": "euler"
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}
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},
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"10": {
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"class_type": "RandomNoise",
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"inputs": {
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"noise_seed": 42
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}
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},
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"11": {
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"class_type": "SamplerCustomAdvanced",
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"inputs": {
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"noise": ["10", 0],
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"guider": ["8", 0],
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"sampler": ["9", 0],
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"sigmas": ["7", 0],
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"latent_image": ["6", 0]
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}
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},
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"12": {
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"class_type": "VAEDecode",
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"inputs": {
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"samples": ["11", 0],
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"vae": ["5", 0]
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}
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},
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"13": {
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"class_type": "SaveImage",
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"inputs": {
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"filename_prefix": "mcp-image-gen",
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"images": ["12", 0]
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}
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}
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}
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@@ -63,11 +63,19 @@ def test_build_flux_workflow_heretic_model():
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seed=42,
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model="flux-2-klein-4b.safetensors",
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)
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assert wf["6"]["class_type"] == "CLIPTextEncode"
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assert wf["30"]["class_type"] == "CLIPLoader" # Qwen3-4B uses single CLIPLoader
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assert wf["32"]["inputs"]["unet_name"] == "flux-2-klein-4b.safetensors"
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assert wf["31"]["inputs"]["vae_name"] == "flux2-vae.safetensors"
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assert wf["13"]["inputs"]["scheduler"] == "beta" # FLUX.2 Klein uses beta scheduler
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# New FLUX.2 workflow uses different node IDs and types
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assert wf["1"]["class_type"] == "CLIPLoader" # Qwen3-4B uses single CLIPLoader
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assert wf["1"]["inputs"]["type"] == "flux2" # correct type for FLUX.2
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assert wf["1"]["inputs"]["device"] == "default" # required for FLUX.2 CLIPLoader
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assert wf["2"]["class_type"] == "CLIPTextEncode" # standard CLIP encode (not Flux-specific)
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assert wf["4"]["class_type"] == "UNETLoader"
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assert wf["4"]["inputs"]["unet_name"] == "flux-2-klein-4b.safetensors"
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assert wf["4"]["inputs"]["weight_dtype"] == "default" # not fp8 — avoids dimension errors
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assert wf["6"]["class_type"] == "EmptyFlux2LatentImage" # FLUX.2-specific latent
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assert wf["8"]["class_type"] == "CFGGuider" # CFGGuider replaces FluxDisableGuidance+BasicGuider
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assert wf["8"]["inputs"]["cfg"] == 5 # cfg=5 for FLUX.2 Klein
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assert wf["11"]["class_type"] == "SamplerCustomAdvanced" # FLUX.2 sampler (node 11, not 12)
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assert wf["13"]["class_type"] == "SaveImage" # output node
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def test_workflow_registry_contains_both_models():
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@@ -0,0 +1,104 @@
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# FLUX.2 Klein 4B + Heretic — Session Recap
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**Date:** 2026-04-10
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**Status:** Code complete, live generation BLOCKED by encoder dimension mismatch
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---
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## What We Achieved ✅
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### Code Infrastructure (Solid)
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- **`mcp-image-gen/src/server.py`** — Generic workflow registry with model-based dispatch, `_inject_workflow_params()` works recursively on any node layout
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- **`mcp-image-gen/tests/test_server.py`** — 37/37 tests passing
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- **Gitea** — pushed to main (commit `38d26ad`)
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- The architecture is right: adding a new model = add 1 JSON file + 1 registry entry
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### Models Downloaded (on disk)
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| File | Location | Status |
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|------|----------|--------|
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| `flux-2-klein-4b.safetensors` | `~/ComfyUI/models/diffusion_models/` | ✅ 7.3GB |
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| `qwen_3_4b_bfl.safetensors` | `~/ComfyUI/models/text_encoders/` | ✅ merged from BFL shards |
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| `qwen_3_4b.safetensors` (z_image) | `~/ComfyUI/models/text_encoders/split_files/` | ✅ wrong model |
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| `Qwen3-4B-Q8_0.gguf` | `~/ComfyUI/models/text_encoders/` | ✅ wrong arch |
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| ComfyUI-GGUF extension | `~/ComfyUI/custom_nodes/ComfyUI-GGUF` | ✅ installed |
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---
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## What Failed and Why ❌
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### The Error (persistent)
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```
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mat1 and mat2 shapes cannot be multiplied (512x4096 and 7680x3072)
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```
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### Root Cause Analysis
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**Node 13** (`SamplerCustomAdvanced`) fails — meaning the conditioning vector from the text encoder doesn't match the diffusion model's expected input.
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| Component | Expected | Got |
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|-----------|----------|-----|
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| FLUX.2 Klein 4B conditioning input | **7680-dim** (2560 × 3) | **4096-dim** |
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**Why 7680 = 2560 × 3?**
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FLUX models concatenate text embeddings across multiple time steps. The BFL Qwen3 encoder has `hidden_size=2560`, so the concatenated output is 2560×3=7680.
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**Why 4096?**
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Every other Qwen3 variant (z_image_turbo, official Qwen repo GGUF) uses standard Qwen3 with `hidden_size=4096` — these are for Z-Image and text generation respectively, NOT for FLUX.2 Klein.
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### What We Tried (and Why Each Failed)
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1. `CLIPLoader type=flux` → wrong architecture (FLUX.1 style)
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2. `CLIPLoader type=flux2` → correct node, wrong encoder file (z_image Qwen)
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3. `CLIPLoaderGGUF type=flux2` → correct node, wrong GGUF (standard Qwen3)
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4. `CLIPLoader type=flux2 + qwen_3_4b_bfl.safetensors` → merged BFL shards, but still fails
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5. Workflow: `KSampler` → doesn't work with FLUX.2 (different architecture)
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6. Workflow: `SamplerCustomAdvanced + BasicGuider + Flux2Scheduler` → correct architecture but encoding mismatch persists
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### The Real Missing Piece
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The BFL FLUX.2 Klein text encoder in Diffusers format is designed for use via `transformers/diffusers` pipeline, NOT via ComfyUI's `CLIPLoader`. ComfyUI reads the weights differently. The weights are there but ComfyUI doesn't know how to map `model.embed_tokens`, `model.layers.N.*` etc. to the CLIP interface it expects.
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**The correct encoder file for ComfyUI** is `Comfy-Org/vae-text-encorder-for-flux-klein-4b` — the 7.5GB file we downloaded IS the right one, but ComfyUI is likely loading it with the wrong adapter in the `CLIPLoader`.
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---
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## Clean Approach — What We Need to Do
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### Option A: Use ComfyUI Web UI (Easiest)
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1. Open `http://localhost:8188` in browser
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2. Load the "Flux.2 Klein 4B Text-to-Image" workflow template (it's in the UI Templates)
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3. **Export the working API JSON** (Ctrl+Shift+E or Settings → Save as API format)
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4. Replace our `flux2_klein_heretic.json` with the exported JSON
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5. Add placeholders and test
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This gives us the **verified working node graph** without guessing. 10 minutes.
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### Option B: Find a Working API JSON online
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- Reddit r/comfyui has working FLUX.2 Klein workflows
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- Export format is what we need
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### Then: Add Heretic
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Once we have a working standard workflow:
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1. Download the actual Heretic-abliterated version of the BFL encoder (once it's published)
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2. Swap encoder filename in the JSON
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---
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## My Recommendation
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**Do Option A right now.** Open `http://localhost:8188`, load the template, export to API format, paste the JSON. We'll be running in 10 minutes instead of guessing node names.
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The MCP server code is solid — the only broken piece is `flux2_klein_heretic.json`. Once we have the right JSON from the UI, everything else works.
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---
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## Files to Clean Up (After We Have the Right JSON)
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```bash
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# Remove wrong encoders (save ~8GB)
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rm ~/ComfyUI/models/text_encoders/qwen_3_4b.safetensors # z_image version
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rm ~/ComfyUI/models/text_encoders/qwen_3_4b_flux2.safetensors
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# Keep
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# ~/ComfyUI/models/text_encoders/qwen_3_4b_bfl.safetensors ← correct encoder
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# ~/ComfyUI/models/text_encoders/Qwen3-4B-Q8_0.gguf ← maybe useful later
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```
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