Instructions to use dumpy50222/ComfyUI_LTX_Wan_Models with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- llama-cpp-python
How to use dumpy50222/ComfyUI_LTX_Wan_Models with llama-cpp-python:
# !pip install llama-cpp-python from llama_cpp import Llama llm = Llama.from_pretrained( repo_id="dumpy50222/ComfyUI_LTX_Wan_Models", filename="text_encoders/Gemma-4-E2B-Uncensored-HauhauCS-Aggressive-Q8_K_P.gguf", )
llm.create_chat_completion( messages = "No input example has been defined for this model task." )
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- llama.cpp
How to use dumpy50222/ComfyUI_LTX_Wan_Models with llama.cpp:
Install (macOS, Linux)
curl -LsSf https://llama.app/install.sh | sh # Start a local OpenAI-compatible server with a web UI: llama serve -hf dumpy50222/ComfyUI_LTX_Wan_Models:Q8_0 # Run inference directly in the terminal: llama cli -hf dumpy50222/ComfyUI_LTX_Wan_Models:Q8_0
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf dumpy50222/ComfyUI_LTX_Wan_Models:Q8_0 # Run inference directly in the terminal: llama cli -hf dumpy50222/ComfyUI_LTX_Wan_Models:Q8_0
Use pre-built binary
# Download pre-built binary from: # https://github.com/ggerganov/llama.cpp/releases # Start a local OpenAI-compatible server with a web UI: ./llama-server -hf dumpy50222/ComfyUI_LTX_Wan_Models:Q8_0 # Run inference directly in the terminal: ./llama-cli -hf dumpy50222/ComfyUI_LTX_Wan_Models:Q8_0
Build from source code
git clone https://github.com/ggerganov/llama.cpp.git cd llama.cpp cmake -B build cmake --build build -j --target llama-server llama-cli # Start a local OpenAI-compatible server with a web UI: ./build/bin/llama-server -hf dumpy50222/ComfyUI_LTX_Wan_Models:Q8_0 # Run inference directly in the terminal: ./build/bin/llama-cli -hf dumpy50222/ComfyUI_LTX_Wan_Models:Q8_0
Use Docker
docker model run hf.co/dumpy50222/ComfyUI_LTX_Wan_Models:Q8_0
- LM Studio
- Jan
- Ollama
How to use dumpy50222/ComfyUI_LTX_Wan_Models with Ollama:
ollama run hf.co/dumpy50222/ComfyUI_LTX_Wan_Models:Q8_0
- Unsloth Studio
How to use dumpy50222/ComfyUI_LTX_Wan_Models with Unsloth Studio:
Install Unsloth Studio (macOS, Linux, WSL)
curl -fsSL https://unsloth.ai/install.sh | sh # Run unsloth studio unsloth studio -H 0.0.0.0 -p 8888 # Then open http://localhost:8888 in your browser # Search for dumpy50222/ComfyUI_LTX_Wan_Models to start chatting
Install Unsloth Studio (Windows)
irm https://unsloth.ai/install.ps1 | iex # Run unsloth studio unsloth studio -H 0.0.0.0 -p 8888 # Then open http://localhost:8888 in your browser # Search for dumpy50222/ComfyUI_LTX_Wan_Models to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for dumpy50222/ComfyUI_LTX_Wan_Models to start chatting
- Pi
How to use dumpy50222/ComfyUI_LTX_Wan_Models with Pi:
Start the llama.cpp server
# Install llama.cpp: brew install llama.cpp # Start a local OpenAI-compatible server: llama serve -hf dumpy50222/ComfyUI_LTX_Wan_Models:Q8_0
Configure the model in Pi
# Install Pi: npm install -g @mariozechner/pi-coding-agent # Add to ~/.pi/agent/models.json: { "providers": { "llama-cpp": { "baseUrl": "http://localhost:8080/v1", "api": "openai-completions", "apiKey": "none", "models": [ { "id": "dumpy50222/ComfyUI_LTX_Wan_Models:Q8_0" } ] } } }Run Pi
# Start Pi in your project directory: pi
- Hermes Agent new
How to use dumpy50222/ComfyUI_LTX_Wan_Models with Hermes Agent:
Start the llama.cpp server
# Install llama.cpp: brew install llama.cpp # Start a local OpenAI-compatible server: llama serve -hf dumpy50222/ComfyUI_LTX_Wan_Models:Q8_0
Configure Hermes
# Install Hermes: curl -fsSL https://hermes-agent.nousresearch.com/install.sh | bash hermes setup # Point Hermes at the local server: hermes config set model.provider custom hermes config set model.base_url http://127.0.0.1:8080/v1 hermes config set model.default dumpy50222/ComfyUI_LTX_Wan_Models:Q8_0
Run Hermes
hermes
- Atomic Chat new
- OpenClaw new
How to use dumpy50222/ComfyUI_LTX_Wan_Models with OpenClaw:
Start the llama.cpp server
# Install llama.cpp: brew install llama.cpp # Start a local OpenAI-compatible server: llama serve -hf dumpy50222/ComfyUI_LTX_Wan_Models:Q8_0
Configure OpenClaw
# Install OpenClaw: npm install -g openclaw@latest # Register the local server and set it as the default model: openclaw onboard --non-interactive --mode local \ --auth-choice custom-api-key \ --custom-base-url http://127.0.0.1:8080/v1 \ --custom-model-id "dumpy50222/ComfyUI_LTX_Wan_Models:Q8_0" \ --custom-provider-id llama-cpp \ --custom-compatibility openai \ --custom-text-input \ --accept-risk \ --skip-health
Run OpenClaw
openclaw agent --local --agent main --message "Hello from Hugging Face"
- Docker Model Runner
How to use dumpy50222/ComfyUI_LTX_Wan_Models with Docker Model Runner:
docker model run hf.co/dumpy50222/ComfyUI_LTX_Wan_Models:Q8_0
- Lemonade
How to use dumpy50222/ComfyUI_LTX_Wan_Models with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull dumpy50222/ComfyUI_LTX_Wan_Models:Q8_0
Run and chat with the model
lemonade run user.ComfyUI_LTX_Wan_Models-Q8_0
List all available models
lemonade list
| { | |
| "file_name": "exitiumVICTRIX_lowEXITIUMVICTRIX", | |
| "model_name": "EXITIUM VICTRIX", | |
| "file_path": "G:/AI/ComfyUI/models/diffusion_models/exitiumVICTRIX_lowEXITIUMVICTRIX.safetensors", | |
| "size": 14293828968, | |
| "modified": 1772081882.806994, | |
| "sha256": "82a642cde3b39eb0c45115d6d89c39d2cbae9ec3309bc9fbd8aab8e5e72b9c8c", | |
| "base_model": "Wan Video 2.2 I2V-A14B", | |
| "preview_url": "G:/AI/ComfyUI/models/diffusion_models/exitiumVICTRIX_lowEXITIUMVICTRIX.mp4", | |
| "preview_nsfw_level": 2, | |
| "notes": "", | |
| "from_civitai": true, | |
| "civitai": { | |
| "id": 2527274, | |
| "modelId": 2244942, | |
| "name": "LOW_ EXITIUM_VICTRIX", | |
| "nsfwLevel": 60, | |
| "createdAt": "2025-12-22T17:11:47.985Z", | |
| "updatedAt": "2025-12-22T17:29:34.033Z", | |
| "status": "Published", | |
| "publishedAt": "2025-12-22T17:29:25.683Z", | |
| "trainedWords": [], | |
| "trainingStatus": null, | |
| "trainingDetails": null, | |
| "baseModel": "Wan Video 2.2 I2V-A14B", | |
| "baseModelType": "Standard", | |
| "earlyAccessEndsAt": null, | |
| "earlyAccessConfig": null, | |
| "description": null, | |
| "uploadType": "Created", | |
| "usageControl": "Download", | |
| "licensingFee": null, | |
| "air": "urn:air:wanvideo-22-i2v-a14b:checkpoint:civitai:2244942@2527274", | |
| "stats": { | |
| "downloadCount": 2241, | |
| "thumbsUpCount": 75 | |
| }, | |
| "model": { | |
| "name": "EXITIUM VICTRIX", | |
| "type": "Checkpoint", | |
| "nsfw": true, | |
| "poi": false, | |
| "description": "<h3 id=\"here-is-the-only-description-i-will-provide:\"><strong>Here is the only description I will provide:</strong></h3><h3 id=\"following-an-overwhelming-amount-of-dms-requesting-the-return-of-my-models-i-decided-to-train-this-to-settle-the-matter-with-wan-2.2-once-and-for-all.\">Following an overwhelming amount of DMs requesting the return of my models, I decided to train this to settle the matter with Wan 2.2 once and for all.</h3><h3 id=\"this-model-is-not-a-sloppy-job-like-the-merges-currently-available.\">This model is not a sloppy job like the merges currently available.</h3><h3 id=\"it-is-not-one-of-those-hastily-thrown-together-mixes-by-incompetents-blending-wan-2.1-and-wan-2.2.\">It is not one of those hastily thrown-together mixes by incompetents blending Wan 2.1 and Wan 2.2.</h3><h3 id=\"this-model-far-surpasses-the-competition-because-it-is-not-a-merge-it-is-trained.\">This model far surpasses the competition because it is <strong>not a merge</strong>; it is <strong>trained</strong>.</h3><h3 id=\"this-will-be-the-one-and-only-model-i-release-to-you.\">This will be the one and only model I release to you.</h3><h3 id=\"the-choice-is-yours:-quality-or-mediocrity.\"><strong>The choice is yours: Quality or Mediocrity.</strong></h3><h3></h3><h3 id=\"it's-up-to-you-to-judge-!\">It's up to you to judge !</h3><hr /><p><span style=\"color:rgb(253, 126, 20)\">This message is for the hateful, defamatory, and malicious people who come here to spew their venom.</span></p><p><span style=\"color:rgb(253, 126, 20)\">You will not receive a response from me. I will ignore and block you, and I will report you to the moderators. </span><span style=\"color:rgb(34, 139, 230)\">Have a good day :)</span></p><hr /><h3 id=\"used:-umt5_xxl_fp16.safetensors\">Used:<span style=\"color:rgb(250, 82, 82)\"> umt5_xxl_fp16.safetensors</span></h3><hr /><h3 id=\"using-the-provided-link-and-workflow-is-not-mandatory.\"><span style=\"color:rgb(250, 82, 82)\">Using the provided link and workflow is not mandatory.</span></h3><h3 id=\"if-you-have-no-configuration-experience-use-the-standard-workflows.\"><span style=\"color:rgb(250, 82, 82)\">If you have no configuration experience, use the standard workflows.</span></h3><hr /><h3 id=\"not-recommended-for-beginners\"><span style=\"color:rgb(250, 82, 82)\">Not recommended for beginners</span></h3><h3 id=\"to-get-the-most-out-of-the-model:-https:github.comxt-404xt-404_skynet\">To get the most out of the model: <a target=\"_blank\" rel=\"ugc\" href=\"https://github.com/XT-404/XT-404_SKYNET\">https://github.com/XT-404/XT-404_SKYNET</a></h3><p></p>", | |
| "tags": [ | |
| "wan 2.2 t2v", | |
| "base model", | |
| "wan2.2", | |
| "wan2.2 iv2", | |
| "wan2.2 t2v", | |
| "wan 2.2 i2v", | |
| "wan 2.2" | |
| ], | |
| "allowNoCredit": true, | |
| "allowCommercialUse": [ | |
| "Image", | |
| "RentCivit", | |
| "Rent", | |
| "Sell" | |
| ], | |
| "allowDerivatives": true, | |
| "allowDifferentLicense": true | |
| }, | |
| "files": [ | |
| { | |
| "id": 2415078, | |
| "sizeKB": 13958817.3515625, | |
| "name": "exitiumVICTRIX_lowEXITIUMVICTRIX.safetensors", | |
| "type": "Model", | |
| "pickleScanResult": "Success", | |
| "pickleScanMessage": "No Pickle imports", | |
| "virusScanResult": "Success", | |
| "virusScanMessage": null, | |
| "scannedAt": "2025-12-22T17:34:21.038Z", | |
| "metadata": { | |
| "format": "SafeTensor", | |
| "size": "full", | |
| "fp": "fp16" | |
| }, | |
| "hashes": { | |
| "AutoV1": "ED278F5D", | |
| "AutoV2": "82A642CDE3", | |
| "SHA256": "82A642CDE3B39EB0C45115D6D89C39D2CBAE9EC3309BC9FBD8AAB8E5E72B9C8C", | |
| "CRC32": "57334989", | |
| "BLAKE3": "C83C117F1D6911AF9B140F14A2558081E6F56DC4D0B4E8499637282718FF9250", | |
| "AutoV3": "B4F2905F3C3C" | |
| }, | |
| "primary": true, | |
| "downloadUrl": "https://civitai.red/api/download/models/2527274" | |
| } | |
| ], | |
| "images": [ | |
| { | |
| "url": "https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/79ba582e-5474-43b5-9443-7edc5ca1333a/original=true/114792461.mp4", | |
| "nsfwLevel": 2, | |
| "width": 800, | |
| "height": 1440, | |
| "hash": "U00000fQfQfQfQfQfQfQfQfQfQfQfQfQfQfQ", | |
| "type": "video", | |
| "metadata": { | |
| "hash": "U00000fQfQfQfQfQfQfQfQfQfQfQfQfQfQfQ", | |
| "size": 7518677, | |
| "audio": false, | |
| "width": 800, | |
| "height": 1440, | |
| "duration": 5.781 | |
| }, | |
| "minor": false, | |
| "poi": false, | |
| "meta": { | |
| "prompt": "666." | |
| }, | |
| "availability": "Public", | |
| "hasMeta": true, | |
| "hasPositivePrompt": true, | |
| "onSite": false, | |
| "remixOfId": null | |
| }, | |
| { | |
| "url": "https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/e335fb36-51ba-45de-a4be-ad759d7038eb/original=true/114792464.mp4", | |
| "nsfwLevel": 4, | |
| "width": 800, | |
| "height": 1440, | |
| "hash": "U00000fQfQfQfQfQfQfQfQfQfQfQfQfQfQfQ", | |
| "type": "video", | |
| "metadata": { | |
| "hash": "U00000fQfQfQfQfQfQfQfQfQfQfQfQfQfQfQ", | |
| "size": 5922668, | |
| "audio": false, | |
| "width": 800, | |
| "height": 1440, | |
| "duration": 5.781 | |
| }, | |
| "minor": false, | |
| "poi": false, | |
| "meta": { | |
| "prompt": "46." | |
| }, | |
| "availability": "Public", | |
| "hasMeta": true, | |
| "hasPositivePrompt": true, | |
| "onSite": false, | |
| "remixOfId": null | |
| }, | |
| { | |
| "url": "https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/1c1055a5-cc61-4f9c-ac09-f09ec3d9cba1/original=true/114792469.mp4", | |
| "nsfwLevel": 1, | |
| "width": 1440, | |
| "height": 800, | |
| "hash": "U00000fQfQfQfQfQfQfQfQfQfQfQfQfQfQfQ", | |
| "type": "video", | |
| "metadata": { | |
| "hash": "U00000fQfQfQfQfQfQfQfQfQfQfQfQfQfQfQ", | |
| "size": 7309550, | |
| "audio": false, | |
| "width": 1440, | |
| "height": 800, | |
| "duration": 5.781 | |
| }, | |
| "minor": false, | |
| "poi": false, | |
| "meta": { | |
| "prompt": "loul." | |
| }, | |
| "availability": "Public", | |
| "hasMeta": true, | |
| "hasPositivePrompt": true, | |
| "onSite": false, | |
| "remixOfId": null | |
| }, | |
| { | |
| "url": "https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/5038927b-70b9-4c08-922e-b951fa71be4d/original=true/114792477.mp4", | |
| "nsfwLevel": 4, | |
| "width": 1072, | |
| "height": 1440, | |
| "hash": "U00000fQfQfQfQfQfQfQfQfQfQfQfQfQfQfQ", | |
| "type": "video", | |
| "metadata": { | |
| "hash": "U00000fQfQfQfQfQfQfQfQfQfQfQfQfQfQfQ", | |
| "size": 4512507, | |
| "audio": false, | |
| "width": 1072, | |
| "height": 1440, | |
| "duration": 5.781 | |
| }, | |
| "minor": false, | |
| "poi": false, | |
| "meta": { | |
| "prompt": "22." | |
| }, | |
| "availability": "Public", | |
| "hasMeta": true, | |
| "hasPositivePrompt": true, | |
| "onSite": false, | |
| "remixOfId": null | |
| }, | |
| { | |
| "url": "https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/7689c114-92a2-4bbd-850d-8a27e28edb8b/original=true/114792501.mp4", | |
| "nsfwLevel": 16, | |
| "width": 1024, | |
| "height": 1024, | |
| "hash": "U00000fQfQfQfQfQfQfQfQfQfQfQfQfQfQfQ", | |
| "type": "video", | |
| "metadata": { | |
| "hash": "U00000fQfQfQfQfQfQfQfQfQfQfQfQfQfQfQ", | |
| "size": 6953246, | |
| "audio": false, | |
| "width": 1024, | |
| "height": 1024, | |
| "duration": 7.071 | |
| }, | |
| "minor": false, | |
| "poi": false, | |
| "meta": { | |
| "prompt": "69." | |
| }, | |
| "availability": "Public", | |
| "hasMeta": true, | |
| "hasPositivePrompt": true, | |
| "onSite": false, | |
| "remixOfId": null | |
| }, | |
| { | |
| "url": "https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/d112687f-e1fd-4aac-be77-87c8945fb6f7/original=true/114792503.mp4", | |
| "nsfwLevel": 16, | |
| "width": 1024, | |
| "height": 1024, | |
| "hash": "U00000fQfQfQfQfQfQfQfQfQfQfQfQfQfQfQ", | |
| "type": "video", | |
| "metadata": { | |
| "hash": "U00000fQfQfQfQfQfQfQfQfQfQfQfQfQfQfQ", | |
| "size": 6924773, | |
| "audio": false, | |
| "width": 1024, | |
| "height": 1024, | |
| "duration": 7.071 | |
| }, | |
| "minor": false, | |
| "poi": false, | |
| "meta": { | |
| "prompt": "50." | |
| }, | |
| "availability": "Public", | |
| "hasMeta": true, | |
| "hasPositivePrompt": true, | |
| "onSite": false, | |
| "remixOfId": null | |
| }, | |
| { | |
| "url": "https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/644b9024-826c-4b18-9a4b-a32efc21ec21/original=true/114792505.mp4", | |
| "nsfwLevel": 16, | |
| "width": 1360, | |
| "height": 2048, | |
| "hash": "U00000fQfQfQfQfQfQfQfQfQfQfQfQfQfQfQ", | |
| "type": "video", | |
| "metadata": { | |
| "hash": "U00000fQfQfQfQfQfQfQfQfQfQfQfQfQfQfQ", | |
| "size": 16749489, | |
| "audio": false, | |
| "width": 1360, | |
| "height": 2048, | |
| "duration": 5.357 | |
| }, | |
| "minor": false, | |
| "poi": false, | |
| "meta": { | |
| "prompt": "78." | |
| }, | |
| "availability": "Public", | |
| "hasMeta": true, | |
| "hasPositivePrompt": true, | |
| "onSite": false, | |
| "remixOfId": null | |
| } | |
| ], | |
| "downloadUrl": "https://civitai.red/api/download/models/2527274", | |
| "creator": { | |
| "username": "XT_404", | |
| "image": "https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/ee01a999-c0b6-46fe-ba7a-eed46b6674f3/width=96/XT_404.jpeg" | |
| } | |
| }, | |
| "tags": [ | |
| "wan 2.2 t2v", | |
| "base model", | |
| "wan2.2", | |
| "wan2.2 iv2", | |
| "wan2.2 t2v", | |
| "wan 2.2 i2v", | |
| "wan 2.2" | |
| ], | |
| "modelDescription": "<h3 id=\"here-is-the-only-description-i-will-provide:\"><strong>Here is the only description I will provide:</strong></h3><h3 id=\"following-an-overwhelming-amount-of-dms-requesting-the-return-of-my-models-i-decided-to-train-this-to-settle-the-matter-with-wan-2.2-once-and-for-all.\">Following an overwhelming amount of DMs requesting the return of my models, I decided to train this to settle the matter with Wan 2.2 once and for all.</h3><h3 id=\"this-model-is-not-a-sloppy-job-like-the-merges-currently-available.\">This model is not a sloppy job like the merges currently available.</h3><h3 id=\"it-is-not-one-of-those-hastily-thrown-together-mixes-by-incompetents-blending-wan-2.1-and-wan-2.2.\">It is not one of those hastily thrown-together mixes by incompetents blending Wan 2.1 and Wan 2.2.</h3><h3 id=\"this-model-far-surpasses-the-competition-because-it-is-not-a-merge-it-is-trained.\">This model far surpasses the competition because it is <strong>not a merge</strong>; it is <strong>trained</strong>.</h3><h3 id=\"this-will-be-the-one-and-only-model-i-release-to-you.\">This will be the one and only model I release to you.</h3><h3 id=\"the-choice-is-yours:-quality-or-mediocrity.\"><strong>The choice is yours: Quality or Mediocrity.</strong></h3><h3></h3><h3 id=\"it's-up-to-you-to-judge-!\">It's up to you to judge !</h3><hr /><p><span style=\"color:rgb(253, 126, 20)\">This message is for the hateful, defamatory, and malicious people who come here to spew their venom.</span></p><p><span style=\"color:rgb(253, 126, 20)\">You will not receive a response from me. I will ignore and block you, and I will report you to the moderators. </span><span style=\"color:rgb(34, 139, 230)\">Have a good day :)</span></p><hr /><h3 id=\"used:-umt5_xxl_fp16.safetensors\">Used:<span style=\"color:rgb(250, 82, 82)\"> umt5_xxl_fp16.safetensors</span></h3><hr /><h3 id=\"using-the-provided-link-and-workflow-is-not-mandatory.\"><span style=\"color:rgb(250, 82, 82)\">Using the provided link and workflow is not mandatory.</span></h3><h3 id=\"if-you-have-no-configuration-experience-use-the-standard-workflows.\"><span style=\"color:rgb(250, 82, 82)\">If you have no configuration experience, use the standard workflows.</span></h3><hr /><h3 id=\"not-recommended-for-beginners\"><span style=\"color:rgb(250, 82, 82)\">Not recommended for beginners</span></h3><h3 id=\"to-get-the-most-out-of-the-model:-https:github.comxt-404xt-404_skynet\">To get the most out of the model: <a target=\"_blank\" rel=\"ugc\" href=\"https://github.com/XT-404/XT-404_SKYNET\">https://github.com/XT-404/XT-404_SKYNET</a></h3><p></p>", | |
| "civitai_deleted": false, | |
| "favorite": false, | |
| "exclude": false, | |
| "db_checked": false, | |
| "skip_metadata_refresh": false, | |
| "metadata_source": "civitai_api", | |
| "last_checked_at": 1782017770.101934, | |
| "hash_status": "completed", | |
| "usage_tips": "{}", | |
| "sub_type": "checkpoint" | |
| } |