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.
Text-to-image and image-edit model files for ComfyUI, repackaged from the OpenMOSS MOSS-Image family. For ComfyUI users who generate or edit pictures in node workflows.
MOSS-Image 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 Comfy-Org/MOSS-Image
MOSS-Image is a set of model files for ComfyUI that Comfy-Org repackaged from the OpenMOSS MOSS-Image family. It covers the base and SFT image models, an image-edit LoRA, a color and depth control LoRA, text encoders and two VAE files. Ready-made workflow templates are linked from the page.
It suits ComfyUI users who want to make images from text, edit existing pictures or guide a layout in a node workflow.
| Industry | Who uses it | How they use it | Example |
|---|---|---|---|
| Design | Designers | Generate pictures from text prompts | Concept visuals for a client brief |
| Marketing | Content teams | Edit existing images with the edit LoRA | A before and after change on a product photo |
| Creative tech | ComfyUI builders | Place elements with a layout-guided workflow | A poster with text boxes in set positions |
| Research | ML hobbyists | Compare the base and SFT checkpoints | Run the same prompt through both models |
If you do not use ComfyUI, you can skip it.
| Use case | Who | What they get back |
|---|---|---|
| Text to image | Designers | A generated picture from your prompt |
| Image editing | Content teams | An edited version of an input image |
| Layout-guided generation | ComfyUI builders | A picture that follows boxes you place |
You need these first:
pip install -U huggingface_hub hf download Comfy-Org/MOSS-Image
| Folder | Files |
|---|---|
| diffusion_models | moss_image_base_bf16, moss_image_base_int8_convrot, moss_image_sft_bf16, moss_image_sft_int8_convrot |
| loras | moss_image_color_depth_control, moss_image_edit_lora_rank_64_bf16 |
| text_encoders | qwen3.5_9b_bf16, qwen3.5_9b_int8_convrot, qwen3.5_9b_w4a8_gptq |
| vae | flux2-vae_small, flux2-vae |
Open a workflow template in ComfyUI, check that its model nodes point at the files you placed, type a prompt or load an image, and run it.
| Tool | What it does |
|---|---|
| MOSS-Image: Text to Image | Makes a picture from a text prompt |
| MOSS-Image Base: Text to Image | Makes a picture from a prompt with the base model |
| MOSS-Image: Image Edit LoRA | Edits an input image, and the page shows a before and an after |
| MOSS-Image: Layout-Guided Text to Image | Makes a picture from a prompt plus a layout of boxes |
You open the Text to Image template, type a short description of a scene, and run it. What comes back is a new picture that follows your description, saved by ComfyUI like any other output.
This is a pack of files, not an app, and you use it inside ComfyUI. A good first step is to place one diffusion model, one text encoder and one VAE, then open the Text to Image template.
The file names show that the diffusion models and the Qwen3.5 9B text encoder come in several precisions, including bf16, int8 and a w4a8 gptq encoder. The edit LoRA is named as rank 64. The size and quality trade-off between precisions is yours to test.
The page is a repackaging for ComfyUI, so the original model details sit in the OpenMOSS repositories it names.
Text-to-image and image-edit model files for ComfyUI, repackaged from the OpenMOSS MOSS-Image family. For ComfyUI users who generate or edit pictures in node workflows.
Made by Comfy-Org 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: MOSS-Image is a set of model files for ComfyUI that Comfy-Org repackaged from the OpenMOSS MOSS-Image family. It covers the base and SFT image models, an image-edit LoRA, a color and depth control LoRA, text encoders and two VAE files. Ready-made workflow templates are linked from the page.
Who it suits: It suits ComfyUI users who want to make images from text, edit existing pictures or guide a layout in a node workflow.
Industry | Who uses it | How they use it | Example
Design | Designers | Generate pictures from text prompts | Concept visuals for a client brief
Marketing | Content teams | Edit existing images with the edit LoRA | A before and after change on a product photo
Creative tech | ComfyUI builders | Place elements with a layout-guided workflow | A poster with text boxes in set positions
Research | ML hobbyists | Compare the base and SFT checkpoints | Run the same prompt through both models
If you do not use ComfyUI, you can skip it.
Where to use it:
Use case | Who | What they get back
Text to image | Designers | A generated picture from your prompt
Image editing | Content teams | An edited version of an input image
Layout-guided generation | ComfyUI builders | A picture that follows boxes you place
How to set it up: You need these first:
pip install -U huggingface_hub
hf download Comfy-Org/MOSS-Image
Title: Where the files go inside the ComfyUI models folder
Folder | Files
diffusion_models | moss_image_base_bf16, moss_image_base_int8_convrot, moss_image_sft_bf16, moss_image_sft_int8_convrot
loras | moss_image_color_depth_control, moss_image_edit_lora_rank_64_bf16
text_encoders | qwen3.5_9b_bf16, qwen3.5_9b_int8_convrot, qwen3.5_9b_w4a8_gptq
vae | flux2-vae_small, flux2-vae
How to use it: Open a workflow template in ComfyUI, check that its model nodes point at the files you placed, type a prompt or load an image, and run it.
Tool | What it does
MOSS-Image: Text to Image | Makes a picture from a text prompt
MOSS-Image Base: Text to Image | Makes a picture from a prompt with the base model
MOSS-Image: Image Edit LoRA | Edits an input image, and the page shows a before and an after
MOSS-Image: Layout-Guided Text to Image | Makes a picture from a prompt plus a layout of boxes
Example: You open the Text to Image template, type a short description of a scene, and run it. What comes back is a new picture that follows your description, saved by ComfyUI like any other output.
For newcomers and experts: This is a pack of files, not an app, and you use it inside ComfyUI. A good first step is to place one diffusion model, one text encoder and one VAE, then open the Text to Image template.
The file names show that the diffusion models and the Qwen3.5 9B text encoder come in several precisions, including bf16, int8 and a w4a8 gptq encoder. The edit LoRA is named as rank 64. The size and quality trade-off between precisions is yours to test.
Place the model files in ComfyUI folders
Open a MOSS-Image workflow template
Add a prompt, an image or a layout
Run it to get a picture
Good to know: The page is a repackaging for ComfyUI, so the original model details sit in the OpenMOSS repositories it names.
Download its files with Hugging Face's command line:
pip install -U huggingface_hub
hf download Comfy-Org/MOSS-Image
Then follow the usage in its model card. Nothing in this kit runs by itself.
README.md 5 KB
Listed Hugging Face models in the same category that share the most tags with this one.
| Product | Downloads, last 30 days | Likes | License | Last change |
|---|---|---|---|---|
| MOSS-Image This page | 6,310,763 | 666 | apache-2.0 | |
| Z-Image TurboShares diffusion-single-file · comfyui | 9,688,728 | 1,030 | apache-2.0 | |
| Wan 2.1 for ComfyUIShares diffusion-single-file · comfyui | 4,888,894 | 1,044 | apache-2.0 | |
| Qwen-Image-Edit by Comfy-OrgShares diffusion-single-file · comfyui | 1,898,657 | 521 | apache-2.0 | |
| FLUX.2 Klein 4B for ComfyUIShares diffusion-single-file · comfyui | 1,291,519 | 125 | apache-2.0 | |
| Qwen3-VL for ComfyUIShares diffusion-single-file · comfyui | 1,223,409 | 118 | apache-2.0 |
Posts and comments that name this project on Hacker News, Bluesky, X, Reddit, Facebook and YouTube, found by a weekly search and on Trendshift. Mindket doesn’t write or check them. Open one to read it where it was posted.
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