# FLUX.2 Klein 4B + Heretic — Session Recap **Date:** 2026-04-10 **Status:** Code complete, live generation BLOCKED by encoder dimension mismatch --- ## What We Achieved ✅ ### Code Infrastructure (Solid) - **`mcp-image-gen/src/server.py`** — Generic workflow registry with model-based dispatch, `_inject_workflow_params()` works recursively on any node layout - **`mcp-image-gen/tests/test_server.py`** — 37/37 tests passing - **Gitea** — pushed to main (commit `38d26ad`) - The architecture is right: adding a new model = add 1 JSON file + 1 registry entry ### Models Downloaded (on disk) | File | Location | Status | |------|----------|--------| | `flux-2-klein-4b.safetensors` | `~/ComfyUI/models/diffusion_models/` | ✅ 7.3GB | | `qwen_3_4b_bfl.safetensors` | `~/ComfyUI/models/text_encoders/` | ✅ merged from BFL shards | | `qwen_3_4b.safetensors` (z_image) | `~/ComfyUI/models/text_encoders/split_files/` | ✅ wrong model | | `Qwen3-4B-Q8_0.gguf` | `~/ComfyUI/models/text_encoders/` | ✅ wrong arch | | ComfyUI-GGUF extension | `~/ComfyUI/custom_nodes/ComfyUI-GGUF` | ✅ installed | --- ## What Failed and Why ❌ ### The Error (persistent) ``` mat1 and mat2 shapes cannot be multiplied (512x4096 and 7680x3072) ``` ### Root Cause Analysis **Node 13** (`SamplerCustomAdvanced`) fails — meaning the conditioning vector from the text encoder doesn't match the diffusion model's expected input. | Component | Expected | Got | |-----------|----------|-----| | FLUX.2 Klein 4B conditioning input | **7680-dim** (2560 × 3) | **4096-dim** | **Why 7680 = 2560 × 3?** 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. **Why 4096?** 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. ### What We Tried (and Why Each Failed) 1. `CLIPLoader type=flux` → wrong architecture (FLUX.1 style) 2. `CLIPLoader type=flux2` → correct node, wrong encoder file (z_image Qwen) 3. `CLIPLoaderGGUF type=flux2` → correct node, wrong GGUF (standard Qwen3) 4. `CLIPLoader type=flux2 + qwen_3_4b_bfl.safetensors` → merged BFL shards, but still fails 5. Workflow: `KSampler` → doesn't work with FLUX.2 (different architecture) 6. Workflow: `SamplerCustomAdvanced + BasicGuider + Flux2Scheduler` → correct architecture but encoding mismatch persists ### The Real Missing Piece 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. **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`. --- ## Clean Approach — What We Need to Do ### Option A: Use ComfyUI Web UI (Easiest) 1. Open `http://localhost:8188` in browser 2. Load the "Flux.2 Klein 4B Text-to-Image" workflow template (it's in the UI Templates) 3. **Export the working API JSON** (Ctrl+Shift+E or Settings → Save as API format) 4. Replace our `flux2_klein_heretic.json` with the exported JSON 5. Add placeholders and test This gives us the **verified working node graph** without guessing. 10 minutes. ### Option B: Find a Working API JSON online - Reddit r/comfyui has working FLUX.2 Klein workflows - Export format is what we need ### Then: Add Heretic Once we have a working standard workflow: 1. Download the actual Heretic-abliterated version of the BFL encoder (once it's published) 2. Swap encoder filename in the JSON --- ## My Recommendation **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. 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. --- ## Files to Clean Up (After We Have the Right JSON) ```bash # Remove wrong encoders (save ~8GB) rm ~/ComfyUI/models/text_encoders/qwen_3_4b.safetensors # z_image version rm ~/ComfyUI/models/text_encoders/qwen_3_4b_flux2.safetensors # Keep # ~/ComfyUI/models/text_encoders/qwen_3_4b_bfl.safetensors ← correct encoder # ~/ComfyUI/models/text_encoders/Qwen3-4B-Q8_0.gguf ← maybe useful later ```