DeepSeek-R1-GGUF
unsloth · Kit
GGUF copies of the 671B DeepSeek-R1 reasoning model, with 1.58-bit and 2-bit dynamic quants, for running it in llama.cpp on a local machine with enough memory.
Supplies text encoder checkpoints for Flux image models, made for ComfyUI's DualClipLoader node. For ComfyUI users who run Flux on their own machine.
flux_text_encoders is a kit in the Developer category, listed by Mindket. It is free. This is version 1, last updated on . Download it on this page, a zip of its files. Nothing in it runs by itself.
pip install -U huggingface_hub hf download comfyanonymous/flux_text_encoders
This repository holds text encoder checkpoints for Flux image models. They are made to load through the DualClipLoader node in ComfyUI. A text encoder reads your prompt and turns it into the form the image model works from.
ComfyUI users who run Flux on their own computer and need the matching text encoders. The card is short, so it suits people who already know their way around ComfyUI.
| Industry | Who uses it | How they use it | Example |
|---|---|---|---|
| Image generation | ComfyUI users | Load the encoders in a Flux workflow | Add the DualClipLoader node and pick the checkpoints |
| Creative work | Digital artists | Run Flux on a local machine | Type a prompt and let the encoders prepare it |
| Tooling | Workflow builders | Build Flux graphs in ComfyUI | Start from the Flux examples the card points to |
You can skip it if you do not use ComfyUI or Flux.
| Use case | Who | What they get back |
|---|---|---|
| Prompt encoding | ComfyUI users | Encoded prompts that a Flux model can use |
| Flux workflows | Artists | Images made from a Flux graph that uses these encoders |
You need ComfyUI and Python for the download tool.
pip install -U huggingface_hub hf download comfyanonymous/flux_text_encoders
In your Flux workflow, add the DualClipLoader node and choose the encoder checkpoints in it. Then connect it as ComfyUI's Flux examples show. The card gives no other commands.
| Tool | What it does |
|---|---|
| DualClipLoader | The ComfyUI node that loads these text encoder checkpoints |
You download the repository, add the DualClipLoader node to a Flux graph and select the encoder checkpoints. When you type a prompt and run the graph, the encoders prepare the text for the image model.
Image models do not read your words directly. A text encoder first turns the prompt into numbers. A first small step is to open ComfyUI's Flux examples and see where the DualClipLoader node sits in the graph.
The node's name suggests it loads two encoders together, though the card does not say which ones. It lists no file names, sizes or formats, so check the repository's file list after downloading.
Supplies text encoder checkpoints for Flux image models, made for ComfyUI's DualClipLoader node. For ComfyUI users who run Flux on their own machine.
Made by comfyanonymous on Hugging Face. These notes are Mindket's, written from its model page and model card; the model's own files and license are on Hugging Face.
What it is: This repository holds text encoder checkpoints for Flux image models. They are made to load through the DualClipLoader node in ComfyUI. A text encoder reads your prompt and turns it into the form the image model works from.
Who it suits: ComfyUI users who run Flux on their own computer and need the matching text encoders. The card is short, so it suits people who already know their way around ComfyUI.
Industry | Who uses it | How they use it | Example
Image generation | ComfyUI users | Load the encoders in a Flux workflow | Add the DualClipLoader node and pick the checkpoints
Creative work | Digital artists | Run Flux on a local machine | Type a prompt and let the encoders prepare it
Tooling | Workflow builders | Build Flux graphs in ComfyUI | Start from the Flux examples the card points to
You can skip it if you do not use ComfyUI or Flux.
Where to use it:
Use case | Who | What they get back
Prompt encoding | ComfyUI users | Encoded prompts that a Flux model can use
Flux workflows | Artists | Images made from a Flux graph that uses these encoders
How to set it up: You need ComfyUI and Python for the download tool.
pip install -U huggingface_hub
hf download comfyanonymous/flux_text_encoders
How to use it: In your Flux workflow, add the DualClipLoader node and choose the encoder checkpoints in it. Then connect it as ComfyUI's Flux examples show. The card gives no other commands.
Tool | What it does
DualClipLoader | The ComfyUI node that loads these text encoder checkpoints
Example: You download the repository, add the DualClipLoader node to a Flux graph and select the encoder checkpoints. When you type a prompt and run the graph, the encoders prepare the text for the image model.
For newcomers and experts: Image models do not read your words directly. A text encoder first turns the prompt into numbers. A first small step is to open ComfyUI's Flux examples and see where the DualClipLoader node sits in the graph.
The node's name suggests it loads two encoders together, though the card does not say which ones. It lists no file names, sizes or formats, so check the repository's file list after downloading.
Download the checkpoints
Add DualClipLoader to a Flux graph
Select the encoder checkpoints
Run the graph with your prompt
Good to know:
Download its files with Hugging Face's command line:
pip install -U huggingface_hub
hf download comfyanonymous/flux_text_encoders
Then follow the usage in its model card. Nothing in this kit runs by itself.
README.md 4 KB
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