Instructions to use vidfom/Ltx-3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- llama-cpp-python
How to use vidfom/Ltx-3 with llama-cpp-python:
# !pip install llama-cpp-python from llama_cpp import Llama llm = Llama.from_pretrained( repo_id="vidfom/Ltx-3", filename="ComfyUI/models/text_encoders/gemma-3-12b-it-qat-UD-Q4_K_XL.gguf", )
llm.create_chat_completion( messages = "No input example has been defined for this model task." )
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- llama.cpp
How to use vidfom/Ltx-3 with llama.cpp:
Install from brew
brew install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama-server -hf vidfom/Ltx-3:UD-Q4_K_XL # Run inference directly in the terminal: llama-cli -hf vidfom/Ltx-3:UD-Q4_K_XL
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama-server -hf vidfom/Ltx-3:UD-Q4_K_XL # Run inference directly in the terminal: llama-cli -hf vidfom/Ltx-3:UD-Q4_K_XL
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 vidfom/Ltx-3:UD-Q4_K_XL # Run inference directly in the terminal: ./llama-cli -hf vidfom/Ltx-3:UD-Q4_K_XL
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 vidfom/Ltx-3:UD-Q4_K_XL # Run inference directly in the terminal: ./build/bin/llama-cli -hf vidfom/Ltx-3:UD-Q4_K_XL
Use Docker
docker model run hf.co/vidfom/Ltx-3:UD-Q4_K_XL
- LM Studio
- Jan
- Ollama
How to use vidfom/Ltx-3 with Ollama:
ollama run hf.co/vidfom/Ltx-3:UD-Q4_K_XL
- Unsloth Studio new
How to use vidfom/Ltx-3 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 vidfom/Ltx-3 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 vidfom/Ltx-3 to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for vidfom/Ltx-3 to start chatting
- Docker Model Runner
How to use vidfom/Ltx-3 with Docker Model Runner:
docker model run hf.co/vidfom/Ltx-3:UD-Q4_K_XL
- Lemonade
How to use vidfom/Ltx-3 with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull vidfom/Ltx-3:UD-Q4_K_XL
Run and chat with the model
lemonade run user.Ltx-3-UD-Q4_K_XL
List all available models
lemonade list
File size: 2,192 Bytes
e00eceb | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 | .rgthree-menu {
list-style: none;
padding: 0;
margin: 0;
position: fixed;
z-index: 999999;
pointer-events: none;
opacity: 0;
transition: opacity 0.08s ease-in-out;
color: #dde;
background-color: #111;
font-size: 12px;
box-shadow: 0 0 10px black !important;
}
.rgthree-menu > li {
position: relative;
padding: 4px 6px;
z-index: 9999;
white-space: nowrap;
}
.rgthree-menu > li[role=button] {
background-color: var(--comfy-menu-bg) !important;
color: var(--input-text);
cursor: pointer;
}
.rgthree-menu > li[role=button]:hover {
filter: brightness(155%);
}
.rgthree-menu[state^=measuring] {
display: block;
opacity: 0;
}
.rgthree-menu[state=open] {
display: block;
opacity: 1;
pointer-events: all;
}
.rgthree-top-menu {
box-sizing: border-box;
white-space: nowrap;
background: var(--content-bg);
color: var(--content-fg);
display: flex;
flex-direction: column;
list-style: none;
padding: 0;
margin: 0;
}
.rgthree-top-menu * {
box-sizing: inherit;
}
.rgthree-top-menu > li:not(#fakeid) {
list-style: none;
padding: 0;
margin: 0;
position: relative;
z-index: 2;
}
.rgthree-top-menu > li:not(#fakeid) > button {
cursor: pointer;
padding: 8px 12px 8px 8px;
width: 100%;
text-align: start;
display: flex;
flex-direction: row;
align-items: center;
justify-content: start;
}
.rgthree-top-menu > li:not(#fakeid) > button:hover {
background-color: var(--comfy-input-bg);
}
.rgthree-top-menu > li:not(#fakeid) > button svg {
height: 16px;
width: auto;
margin-inline-end: 0.6em;
}
.rgthree-top-menu > li:not(#fakeid) > button svg.github-star {
fill: rgb(227, 179, 65);
}
.rgthree-top-menu > li:not(#fakeid).rgthree-message {
min-height: 32px;
}
.rgthree-top-menu > li:not(#fakeid).rgthree-message > span {
padding: 8px 12px;
display: block;
width: 100%;
text-align: center;
font-style: italic;
font-size: 12px;
}
.rgthree-top-menu.-modal::after {
content: "";
display: block;
position: fixed;
z-index: 1;
inset: 0;
background: rgba(0, 0, 0, 0.0666666667);
}
body.rgthree-modal-menu-open > *:not(.rgthree-menu):not(.rgthree-top-messages-container) {
filter: blur(2px);
}
|