The message “assertionerror you do not have clip state dict” tells you that your CLIP text encoder weights are missing, misplaced, or not loaded by your tool.
When a model run stops with this message, the loader has tried to build a CLIP text encoder but could not find a valid state dictionary for it. In plain terms, the file that should hold the encoder weights is either absent, in the wrong folder, or not matched to the model you picked. The good news is that this almost always comes down to a file layout problem, not a permanent break in your setup.
This guide walks through what the error means, how CLIP state dictionaries work, how Stable Diffusion WebUI Forge and similar tools expect your files to be arranged, and the exact checks that clear the “AssertionError You Do Not Have CLIP State Dict” screen.
What This CLIP State Dict Error Actually Means
Under the hood, tools such as Stable Diffusion WebUI Forge, ComfyUI workflows, and Diffusers based scripts call a loader that reads model files into memory. For CLIP, that loader expects a Python dictionary indexed by layer names with weight tensors as values. When the object is not a dictionary or looks much too small, the assertion fails and you see this message.
In many current Forge builds the check works as a guard clause. It tests whether the loaded object is a dictionary with more than a modest number of entries before passing it on to the CLIP text encoder class. When the check fails, the loader throws an assertion with the message “You do not have CLIP state dict” and prints it again as a plain line in the console.
That guard keeps the tool from building a half empty encoder that would crash deeper in the pipeline and leave you staring at a long stack trace with no clue which file was wrong. When this message appears, the next step is not a full reinstall. Your time is better spent checking which CLIP files your tool expects and where it is looking for them.
- Think about context — Did the error appear when you switched to a new FLUX, SDXL, or SD3 model, or right after a Forge update?
- Check the log snippet — Above the assertion, the stack trace often names the loader function and folder paths, which point you toward the missing files.
- Note which component failed — Variants of the same message exist for T5 or VAE as well, so confirm that the one you see mentions CLIP, not another part.
AssertionError You Do Not Have CLIP State Dict Fix Steps
For most users, this error appears in Forge while loading FLUX, SDXL, or Stable Diffusion 3 style checkpoints. The pattern is similar each time. The UNET or base checkpoint loads, but the CLIP encoder file is either missing from the text encoder folder or not paired with the checkpoint you chose.
Go through these steps in order. Once the error stops and your model starts generating images again, you can move on to normal use.
- Confirm the exact model bundle — Check whether the model you downloaded shipped as one large safetensors file or as several parts such as UNET, VAE, and text encoder.
- Locate the text encoder files — Look for filenames that mention CLIP or T5, or carry tags such as “TE-only” or “text encoder”. These hold the CLIP state dict for the model family.
- Place CLIP files in the text encoder folder — In Forge, this usually means a subfolder named “text_encoder” inside the models directory. Put the CLIP safetensors there instead of the base Stable Diffusion folder.
- Wire them up in the UI — Open your Forge interface, find the “VAE / Text Encoder” selection, and pick the CLIP encoders that match your current checkpoint.
- Restart the web UI session — Close the server, start it again, and load the same model. With a valid CLIP state dict now in place, the loader should pass the assertion.
If you followed these steps and still see the error, the next suspects are mismatched versions or a special case such as a refiner model that expects its own encoder file. The next sections walk through those cases in more detail.
Folder Layouts For CLIP Text Encoders
Different front ends group base checkpoints and CLIP encoders in slightly different ways, yet the principle stays the same. One group of folders holds UNET and base model weights, another holds text encoders, and sometimes a third holds VAE weights. CLIP belongs in the text encoder group, not in the folder that stores the main checkpoint.
The table below sketches a common layout you might see when working with Forge or similar setups:
| Tool | Base Model Folder | CLIP Text Encoder Folder |
|---|---|---|
| Forge UI (Stable Diffusion) | models/Stable-diffusion | models/text_encoder |
| Forge UI (FLUX Family) | models/flux or models/Stable-diffusion | models/text_encoder |
| ComfyUI Or Diffusers Script | checkpoints or models | clip or text_encoder |
When you see “AssertionError You Do Not Have CLIP State Dict” you can almost always walk back from the stack trace to one of these folders. If the expected text encoder file is not in the folder, or the name does not match the configuration, the loader builds an empty or tiny state dictionary and triggers the assertion.
Many FLUX and SD3 style releases ship with several encoder options. You might see a CLIP G file, a CLIP L file, and a T5 encoder listed side by side. Forge expects them in the text encoder folder and often needs at least one CLIP encoder active so that prompts map into the same space as the UNET.
Typical Scenarios That Trigger The CLIP State Dict Assertion
Most reports of this error fall into a few repeatable patterns. Once you recognize which pattern matches your setup, you can clean up the file layout with less trial and error.
- New FLUX or SD3 model without encoders — You downloaded a UNET or base checkpoint only, launched Forge, and tried to run prompts without adding matching CLIP encoders.
- Mismatched encoder variants — You used a “TE-only” encoder with an older model, then switched to a new checkpoint that needs a different text encoder file but kept the old one selected in the interface.
- Wrong folder after an update — An update added a second models directory under a “Packages” or “run” path. You placed encoders in the original models folder while Forge started reading from the new one.
- Refiner without its encoder — SDXL and similar stacks split the base and refiner parts. The refiner may expect its own CLIP encoder. If that file is missing, the refiner stage throws the assertion while the base model alone still works.
In every one of these situations, the fix stays grounded in the same checks. Make sure the current Forge or ComfyUI install knows where your CLIP files live, then confirm that the chosen text encoder matches the checkpoint type you want to run.
Preventing Future CLIP State Dict Errors
Once you get past the first “assertionerror you do not have clip state dict” incident, it helps to put a simple routine in place so the message stays away when you add new models. A few small habits keep your setup tidy and easier to debug.
- Keep a per model notes file — For every major checkpoint, save a short text file with the model name, its CLIP encoders, and where you stored them.
- Group downloads by family — Place SDXL, SD3, and FLUX checkpoints in folders that make their matching encoders obvious. When folders stay organized, you spend less time hunting for the right text encoder.
- Avoid random renames — Keep original filenames for CLIP and T5 encoders whenever you can. Many configurations expect specific names or patterns.
- Test after each change — After adding a new model or moving files, run a small image batch so you notice issues before an important job.
You can also read release notes or model cards for any new checkpoint you adopt. Many publishers now include explicit instructions about where to place CLIP encoders and how to pair them with popular front ends such as Forge or ComfyUI.
When The Problem Is A Bug, Not Your CLIP Files
Every so often, “AssertionError You Do Not Have CLIP State Dict” appears even though your text encoder files are in the correct folders and paired with the right models. In those cases, the source often turns out to be a bug introduced in a new Forge version or a mismatch between configuration files and the loader logic.
Before you rebuild your whole setup, run through these checks:
- Try a known working checkpoint — Load a simple SDXL or SD1.5 model that shipped with your original Forge setup and confirm that it still runs without errors.
- Roll back a recent update — If the error started right after a Forge update, test an earlier commit or tagged release noted as stable by the maintainer.
- Scan recent issue threads — On the Forge project page and model hubs, look for reports that mention the same assertion, especially in connection with refiners or new model releases.
- Share clean logs when asking for help — When you post on a forum or issue tracker, include the full trace, Forge version, model names, and folder layout. That information lets others spot patterns faster.
If a maintainer confirms that the fault lies in the loader, you may only need to wait for a patch or apply a small manual change suggested in the thread. Until that lands, you can pin Forge to the last known working build and use base models that do not hit the bug.
Once you understand that this assertion simply reports a missing or mismatched CLIP state dictionary, the error stops feeling mysterious. With a repeatable checklist for file locations, encoder choices, and known bugs, you can bring your models back online and keep your image runs steady.