GGUF Model Dimension Mismatch

oaded completely; 12738.98 MB loaded, full load: True 0%| | 0/4 [00:00<?, ?it/s] !!! Exception during processing !!! Given normalized_shape=[3584], expected input with shape [*3584], but got input of size[1, 21, 2560] Traceback (most recent call last): File "/Users/danielkliewer/Documents/Projects/Comfy/comfy/execution.py", line 534, in execute output_data, output_ui, has_subgraph, has_pending_tasks = await get_output_data(prompt_id, unique_id, obj, input_data_all, execution_block_cb=execution_block_cb, pre_execute_cb=pre_execute_cb, v3_data=v3_data) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/Users/danielkliewer/Documents/Projects/Comfy/comfy/execution.py", line 334, in get_output_data return_values = await _async_map_node_over_list(prompt_id, unique_id, obj, input_data_all, obj.FUNCTION, allow_interrupt=True, execution_block_cb=execution_block_cb, pre_execute_cb=pre_execute_cb, v3_data=v3_data) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/Users/danielkliewer/Documents/Projects/Comfy/comfy/execution.py", line 308, in _async_map_node_over_list await process_inputs(input_dict, i) File "/Users/danielkliewer/Documents/Projects/Comfy/comfy/execution.py", line 296, in process_inputs result = f(**inputs) File "/Users/danielkliewer/Documents/Projects/Comfy/comfy/nodes.py", line 1591, in sample return common_ksampler(model, seed, steps, cfg, sampler_name, scheduler, positive, negative, latent_image, denoise=denoise) File "/Users/danielkliewer/Documents/Projects/Comfy/comfy/nodes.py", line 1556, in common_ksampler samples = comfy.sample.sample(model, noise, steps, cfg, sampler_name, scheduler, positive, negative, latent_image, denoise=denoise, disable_noise=disable_noise, start_step=start_step, last_step=last_step, force_full_denoise=force_full_denoise, noise_mask=noise_mask, callback=callback, disable_pbar=disable_pbar, seed=seed) File "/Users/danielkliewer/Documents/Projects/Comfy/comfy/comfy/sample.py", line 66, in sample samples = sampler.sample(noise, positive, negative, cfg=cfg, latent_image=latent_image, start_step=start_step, last_step=last_step, force_full_denoise=force_full_denoise, denoise_mask=noise_mask, sigmas=sigmas, callback=callback, disable_pbar=disable_pbar, seed=seed) File "/Users/danielkliewer/Documents/Projects/Comfy/comfy/comfy/samplers.py", line 1180, in sample return sample(self.model, noise, positive, negative, cfg, self.device, sampler, sigmas, self.model_options, latent_image=latent_image, denoise_mask=denoise_mask, callback=callback, disable_pbar=disable_pbar, seed=seed) File "/Users/danielkliewer/Documents/Projects/Comfy/comfy/comfy/samplers.py", line 1070, in sample return cfg_guider.sample(noise, latent_image, sampler, sigmas, denoise_mask, callback, disable_pbar, seed) ~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/Users/danielkliewer/Documents/Projects/Comfy/comfy/comfy/samplers.py", line 1052, in sample output = executor.execute(noise, latent_image, sampler, sigmas, denoise_mask, callback, disable_pbar, seed, latent_shapes=latent_shapes) File "/Users/danielkliewer/Documents/Projects/Comfy/comfy/comfy/patcher_extension.py", line 112, in execute return self.original(*args, **kwargs) ~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^ File "/Users/danielkliewer/Documents/Projects/Comfy/comfy/comfy/samplers.py", line 995, in outer_sample output = self.inner_sample(noise, latent_image, device, sampler, sigmas, denoise_mask, callback, disable_pbar, seed, latent_shapes=latent_shapes) File "/Users/danielkliewer/Documents/Projects/Comfy/comfy/comfy/samplers.py", line 981, in inner_sample samples = executor.execute(self, sigmas, extra_args, callback, noise, latent_image, denoise_mask, disable_pbar) File "/Users/danielkliewer/Documents/Projects/Comfy/comfy/comfy/patcher_extension.py", line 112, in execute return self.original(*args, **kwargs) ~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^ File "/Users/danielkliewer/Documents/Projects/Comfy/comfy/comfy/samplers.py", line 751, in sample samples = self.sampler_function(model_k, noise, sigmas, extra_args=extra_args, callback=k_callback, disable=disable_pbar, **self.extra_options) File "/Users/danielkliewer/Documents/Projects/Comfy/venv/lib/python3.14/site-packages/torch/utils/_contextlib.py", line 124, in decorate_context return func(*args, **kwargs) File "/Users/danielkliewer/Documents/Projects/Comfy/comfy/comfy/k_diffusion/sampling.py", line 205, in sample_euler denoised = model(x, sigma_hat * s_in, **extra_args) File "/Users/danielkliewer/Documents/Projects/Comfy/comfy/comfy/samplers.py", line 400, in __call__ out = self.inner_model(x, sigma, model_options=model_options, seed=seed) File "/Users/danielkliewer/Documents/Projects/Comfy/comfy/comfy/samplers.py", line 954, in __call__ return self.outer_predict_noise(*args, **kwargs) ~~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^ File "/Users/danielkliewer/Documents/Projects/Comfy/comfy/comfy/samplers.py", line 961, in outer_predict_noise ).execute(x, timestep, model_options, seed) ~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/Users/danielkliewer/Documents/Projects/Comfy/comfy/comfy/patcher_extension.py", line 112, in execute return self.original(*args, **kwargs) ~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^ File "/Users/danielkliewer/Documents/Projects/Comfy/comfy/comfy/samplers.py", line 964, in predict_noise return sampling_function(self.inner_model, x, timestep, self.conds.get("negative", None), self.conds.get("positive", None), self.cfg, model_options=model_options, seed=seed) File "/Users/danielkliewer/Documents/Projects/Comfy/comfy/comfy/samplers.py", line 380, in sampling_function out = calc_cond_batch(model, conds, x, timestep, model_options) File "/Users/danielkliewer/Documents/Projects/Comfy/comfy/comfy/samplers.py", line 205, in calc_cond_batch return _calc_cond_batch_outer(model, conds, x_in, timestep, model_options) File "/Users/danielkliewer/Documents/Projects/Comfy/comfy/comfy/samplers.py", line 213, in _calc_cond_batch_outer return executor.execute(model, conds, x_in, timestep, model_options) ~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/Users/danielkliewer/Documents/Projects/Comfy/comfy/comfy/patcher_extension.py", line 112, in execute return self.original(*args, **kwargs) ~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^ File "/Users/danielkliewer/Documents/Projects/Comfy/comfy/comfy/samplers.py", line 325, in _calc_cond_batch output = model.apply_model(input_x, timestep_, **c).chunk(batch_chunks) ~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^ File "/Users/danielkliewer/Documents/Projects/Comfy/comfy/comfy/model_base.py", line 172, in apply_model return comfy.patcher_extension.WrapperExecutor.new_class_executor( ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ...<2 lines>... comfy.patcher_extension.get_all_wrappers(comfy.patcher_extension.WrappersMP.APPLY_MODEL, transformer_options) ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ).execute(x, t, c_concat, c_crossattn, control, transformer_options, **kwargs) ~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/Users/danielkliewer/Documents/Projects/Comfy/comfy/comfy/patcher_extension.py", line 112, in execute return self.original(*args, **kwargs) ~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^ File "/Users/danielkliewer/Documents/Projects/Comfy/comfy/comfy/model_base.py", line 211, in _apply_model model_output = self.diffusion_model(xc, t, context=context, control=control, transformer_options=transformer_options, **extra_conds) File "/Users/danielkliewer/Documents/Projects/Comfy/venv/lib/python3.14/site-packages/torch/nn/modules/module.py", line 1778, in _wrapped_call_impl return self._call_impl(*args, **kwargs) ~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^ File "/Users/danielkliewer/Documents/Projects/Comfy/venv/lib/python3.14/site-packages/torch/nn/modules/module.py", line 1789, in _call_impl return forward_call(*args, **kwargs) File "/Users/danielkliewer/Documents/Projects/Comfy/comfy/comfy/ldm/qwen_image/model.py", line 427, in forward return comfy.patcher_extension.WrapperExecutor.new_class_executor( ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ...<2 lines>... comfy.patcher_extension.get_all_wrappers(comfy.patcher_extension.WrappersMP.DIFFUSION_MODEL, transformer_options) ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ).execute(x, timestep, context, attention_mask, ref_latents, additional_t_cond, transformer_options, **kwargs) ~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/Users/danielkliewer/Documents/Projects/Comfy/comfy/comfy/patcher_extension.py", line 112, in execute return self.original(*args, **kwargs) ~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^ File "/Users/danielkliewer/Documents/Projects/Comfy/comfy/comfy/ldm/qwen_image/model.py", line 500, in _forward encoder_hidden_states = self.txt_norm(encoder_hidden_states) File "/Users/danielkliewer/Documents/Projects/Comfy/venv/lib/python3.14/site-packages/torch/nn/modules/module.py", line 1778, in _wrapped_call_impl return self._call_impl(*args, **kwargs) ~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^ File "/Users/danielkliewer/Documents/Projects/Comfy/venv/lib/python3.14/site-packages/torch/nn/modules/module.py", line 1789, in _call_impl return forward_call(*args, **kwargs) File "/Users/danielkliewer/Documents/Projects/Comfy/comfy/comfy/ops.py", line 516, in forward return self.forward_comfy_cast_weights(*args, **kwargs) ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^ File "/Users/danielkliewer/Documents/Projects/Comfy/comfy/comfy/ops.py", line 509, in forward_comfy_cast_weights x = torch.nn.functional.rms_norm(input, self.normalized_shape, weight, self.eps) File "/Users/danielkliewer/Documents/Projects/Comfy/venv/lib/python3.14/site-packages/torch/nn/functional.py", line 2958, in rms_norm return torch.rms_norm(input, normalized_shape, weight, eps) ~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ RuntimeError: Given normalized_shape=[3584], expected input with shape [*3584], but got input of size[1, 21, 2560] Prompt executed in 32.77 seconds

This is actually a **very specific (and very common) mismatch error** when working with GGUF + ComfyUI + Qwen image models. Let’s strip it down to what matters: --- ## 🔥 The Core Error ``` expected input with shape [*3584] but got input of size [1, 21, 2560] ``` ### Translation: Your model expects **embedding size = 3584** But it’s receiving **embedding size = 2560** --- ## 🧠 What This REALLY Means You have a **component mismatch in your graph**: | Component | Expected Dim | Actual Dim | |---------------------|-------------|------------| | Qwen Image Model | 3584 | ❌ | | Text Encoder (CLIP / GGUF) | ❌ | 2560 | So: > ❌ Your **text encoder does NOT match your diffusion model** --- ## 💥 Why This Happens (in your setup) You said: > “I am just using the gguf” That’s the issue. GGUF models (especially Qwen-based ones) often bundle: - their own tokenizer - their own text encoder - specific embedding dimensions But in ComfyUI, you likely: - plugged a **separate CLIP or text encoder node** - or used a **default one (like SDXL CLIP)** 👉 That encoder outputs **2560-dim embeddings**, not 3584. --- ## ✅ Fix Options (Pick ONE) ### ✅ Option 1 — Use the CORRECT Text Encoder for the GGUF model You need the **matching Qwen text encoder**. Look for something like: - `Qwen Image Text Encoder` - or a loader node that comes with the GGUF model 👉 In many custom nodes: - The GGUF loader outputs BOTH: - model - conditioning / text encoder **You must use THAT output — not a separate CLIP node** --- ### ✅ Option 2 — Use a Fully Integrated GGUF Node If you're using something like: - `GGUF Loader` - `Qwen Image Loader` Make sure your graph looks like: ``` [Prompt] ↓ [Tokenizer / Encoder FROM GGUF] ↓ [Conditioning] ↓ [KSampler] ↓ [Decode] ``` 🚫 NOT: ``` [Prompt] ↓ [CLIP Text Encode (SDXL)] ↓ [KSampler] ← (this causes your error) ``` --- ### ✅ Option 3 — Match Model + Encoder Pair Manually If you're mixing: - Qwen model - SDXL encoder It will NEVER work unless dimensions match. So either: - switch model → SDXL - OR switch encoder → Qwen --- ## 🔍 Quick Debug Checklist Ask yourself: - Are you using **CLIPTextEncode** node? → ❌ remove it - Does your GGUF loader provide **conditioning output?** → ✅ use that - Are all nodes from the **same model ecosystem?** → must be YES --- ## 🧪 Why 2560 vs 3584? This is actually useful: - **2560** → typical of some CLIP variants / SDXL - **3584** → Qwen image architecture So the error literally tells you: > “You mixed SDXL brain with Qwen body” --- ## 🧩 If You Want — I Can Fix Your Graph If you paste your full workflow JSON again, I’ll: - connect every node correctly - ensure GGUF-only pipeline - remove all incompatible pieces No half-working fixes — I’ll make it clean and runnable. --- You’re close — this isn’t a random crash. It’s Comfy basically saying: > “Your model and your language don’t speak the same dimension.”