Instructions to use saik0s/comfy_backup with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- llama-cpp-python
How to use saik0s/comfy_backup with llama-cpp-python:
# !pip install llama-cpp-python from llama_cpp import Llama llm = Llama.from_pretrained( repo_id="saik0s/comfy_backup", filename="ComfyUI/models/text_encoders/gemma-3-12b-it-q2_k.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 saik0s/comfy_backup 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 saik0s/comfy_backup:Q4_K_S # Run inference directly in the terminal: llama cli -hf saik0s/comfy_backup:Q4_K_S
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf saik0s/comfy_backup:Q4_K_S # Run inference directly in the terminal: llama cli -hf saik0s/comfy_backup:Q4_K_S
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 saik0s/comfy_backup:Q4_K_S # Run inference directly in the terminal: ./llama-cli -hf saik0s/comfy_backup:Q4_K_S
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 saik0s/comfy_backup:Q4_K_S # Run inference directly in the terminal: ./build/bin/llama-cli -hf saik0s/comfy_backup:Q4_K_S
Use Docker
docker model run hf.co/saik0s/comfy_backup:Q4_K_S
- LM Studio
- Jan
- Ollama
How to use saik0s/comfy_backup with Ollama:
ollama run hf.co/saik0s/comfy_backup:Q4_K_S
- Unsloth Studio
How to use saik0s/comfy_backup 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 saik0s/comfy_backup 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 saik0s/comfy_backup to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for saik0s/comfy_backup to start chatting
- Pi
How to use saik0s/comfy_backup with Pi:
Start the llama.cpp server
# Install llama.cpp: brew install llama.cpp # Start a local OpenAI-compatible server: llama serve -hf saik0s/comfy_backup:Q4_K_S
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": "saik0s/comfy_backup:Q4_K_S" } ] } } }Run Pi
# Start Pi in your project directory: pi
- Hermes Agent new
How to use saik0s/comfy_backup with Hermes Agent:
Start the llama.cpp server
# Install llama.cpp: brew install llama.cpp # Start a local OpenAI-compatible server: llama serve -hf saik0s/comfy_backup:Q4_K_S
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 saik0s/comfy_backup:Q4_K_S
Run Hermes
hermes
- Atomic Chat new
- OpenClaw new
How to use saik0s/comfy_backup with OpenClaw:
Start the llama.cpp server
# Install llama.cpp: brew install llama.cpp # Start a local OpenAI-compatible server: llama serve -hf saik0s/comfy_backup:Q4_K_S
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 "saik0s/comfy_backup:Q4_K_S" \ --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 saik0s/comfy_backup with Docker Model Runner:
docker model run hf.co/saik0s/comfy_backup:Q4_K_S
- Lemonade
How to use saik0s/comfy_backup with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull saik0s/comfy_backup:Q4_K_S
Run and chat with the model
lemonade run user.comfy_backup-Q4_K_S
List all available models
lemonade list
| <template> | |
| <div | |
| ref="contentContainer" | |
| class="flex h-full flex-col gap-4 overflow-hidden" | |
| > | |
| <div | |
| class="grid grid-cols-1 justify-center gap-4 px-8" | |
| :style="$content_lg(contentStyle)" | |
| > | |
| <div ref="toolbarContainer" class="col-span-full"> | |
| <div :class="['flex gap-4', $toolbar_2xl('flex-row', 'flex-col')]"> | |
| <div class="flex-1"> | |
| <ResponseInput | |
| v-model="searchContent" | |
| :placeholder="$t('searchModels')" | |
| :allow-clear="true" | |
| suffix-icon="pi pi-search" | |
| ></ResponseInput> | |
| </div> | |
| <div class="flex items-center justify-between gap-4 overflow-hidden"> | |
| <ResponseSelect | |
| class="flex-1" | |
| v-model="currentType" | |
| :items="typeOptions" | |
| ></ResponseSelect> | |
| <ResponseSelect | |
| class="flex-1" | |
| v-model="sortOrder" | |
| :items="sortOrderOptions" | |
| ></ResponseSelect> | |
| <ResponseSelect | |
| class="flex-1" | |
| v-model="cardSizeFlag" | |
| :items="cardSizeOptions" | |
| ></ResponseSelect> | |
| </div> | |
| </div> | |
| </div> | |
| </div> | |
| <ResponseScroll :items="list" :itemSize="itemSize" class="h-full flex-1"> | |
| <template #item="{ item }"> | |
| <div | |
| class="grid grid-cols-1 justify-center gap-8 px-8" | |
| :style="contentStyle" | |
| > | |
| <ModelCard | |
| v-for="model in item.row" | |
| :key="genModelKey(model)" | |
| :model="model" | |
| :style="{ | |
| width: `${cardSize.width}px`, | |
| height: `${cardSize.height}px`, | |
| }" | |
| class="group/card cursor-pointer !p-0" | |
| @click="openModelDetail(model)" | |
| v-tooltip.top="{ | |
| value: getFullPath(model), | |
| autoHide: false, | |
| showDelay: 800, | |
| hideDelay: 300, | |
| pt: { root: { style: { zIndex: 2100, maxWidth: '32rem' } } }, | |
| }" | |
| > | |
| <template #name> | |
| <div | |
| v-show="showModelName" | |
| class="absolute top-0 h-full w-full p-2" | |
| > | |
| <div class="flex h-full flex-col justify-end text-lg"> | |
| <div class="line-clamp-3 break-all font-bold text-shadow"> | |
| {{ model.basename }} | |
| </div> | |
| </div> | |
| </div> | |
| </template> | |
| <template #extra> | |
| <div | |
| v-show="showModeAction" | |
| class="pointer-events-none absolute right-2 top-2 opacity-0 duration-300 group-hover/card:opacity-100" | |
| > | |
| <div class="flex flex-col gap-2"> | |
| <Button | |
| icon="pi pi-plus" | |
| severity="secondary" | |
| rounded | |
| @click.stop="addModelNode(model)" | |
| ></Button> | |
| <Button | |
| icon="pi pi-copy" | |
| severity="secondary" | |
| rounded | |
| @click.stop="copyModelNode(model)" | |
| ></Button> | |
| <Button | |
| v-show="model.preview" | |
| icon="pi pi-file-import" | |
| severity="secondary" | |
| rounded | |
| @click.stop="loadPreviewWorkflow(model)" | |
| ></Button> | |
| </div> | |
| </div> | |
| </template> | |
| </ModelCard> | |
| <div class="col-span-full"></div> | |
| </div> | |
| </template> | |
| <template #empty> | |
| <div class="flex flex-col items-center gap-4 pt-20 opacity-70"> | |
| <i class="pi pi-box text-4xl"></i> | |
| <div class="select-none text-lg font-bold">No models found</div> | |
| </div> | |
| </template> | |
| </ResponseScroll> | |
| </div> | |
| </template> | |
| <script setup lang="ts" name="manager-dialog"> | |
| import { useElementSize } from '@vueuse/core' | |
| import ModelCard from 'components/ModelCard.vue' | |
| import ResponseInput from 'components/ResponseInput.vue' | |
| import ResponseScroll from 'components/ResponseScroll.vue' | |
| import ResponseSelect from 'components/ResponseSelect.vue' | |
| import { configSetting, useConfig } from 'hooks/config' | |
| import { useContainerQueries } from 'hooks/container' | |
| import { useModelNodeAction, useModels } from 'hooks/model' | |
| import { chunk } from 'lodash' | |
| import Button from 'primevue/button' | |
| import { app } from 'scripts/comfyAPI' | |
| import { Model } from 'types/typings' | |
| import { genModelKey } from 'utils/model' | |
| import { computed, ref } from 'vue' | |
| import { useI18n } from 'vue-i18n' | |
| const { | |
| isMobile, | |
| gutter, | |
| cardSize, | |
| cardSizeMap, | |
| cardSizeFlag, | |
| dialog: settings, | |
| } = useConfig() | |
| const { data, folders, openModelDetail, getFullPath } = useModels() | |
| const { t } = useI18n() | |
| const toolbarContainer = ref<HTMLElement | null>(null) | |
| const { $2xl: $toolbar_2xl } = useContainerQueries(toolbarContainer) | |
| const contentContainer = ref<HTMLElement | null>(null) | |
| const { $lg: $content_lg } = useContainerQueries(contentContainer) | |
| const searchContent = ref<string>() | |
| const allType = 'All' | |
| const currentType = ref(allType) | |
| const typeOptions = computed(() => { | |
| const excludeScanTypes = app.ui?.settings.getSettingValue<string>( | |
| configSetting.excludeScanTypes, | |
| ) | |
| const customBlackList = | |
| excludeScanTypes | |
| ?.split(',') | |
| .map((type) => type.trim()) | |
| .filter(Boolean) ?? [] | |
| return [ | |
| allType, | |
| ...Object.keys(folders.value).filter( | |
| (folder) => !customBlackList.includes(folder), | |
| ), | |
| ].map((type) => { | |
| return { | |
| label: type, | |
| value: type, | |
| command: () => { | |
| currentType.value = type | |
| }, | |
| } | |
| }) | |
| }) | |
| const sortOrder = ref('name') | |
| const sortOrderOptions = ref( | |
| ['name', 'size', 'created', 'modified'].map((key) => { | |
| return { | |
| label: t(`sort.${key}`), | |
| value: key, | |
| icon: key === 'name' ? 'pi pi-sort-alpha-down' : 'pi pi-sort-amount-down', | |
| command: () => { | |
| sortOrder.value = key | |
| }, | |
| } | |
| }), | |
| ) | |
| const itemSize = computed(() => { | |
| let itemHeight = cardSize.value.height | |
| let itemGutter = gutter | |
| if (isMobile.value) { | |
| const baseSize = 16 | |
| itemHeight = window.innerWidth - baseSize * 2 * 2 | |
| itemGutter = baseSize * 2 | |
| } | |
| return itemHeight + itemGutter | |
| }) | |
| const { width } = useElementSize(contentContainer) | |
| const cols = computed(() => { | |
| if (isMobile.value) { | |
| return 1 | |
| } | |
| const containerWidth = width.value | |
| const itemWidth = cardSize.value.width | |
| return Math.floor((containerWidth - gutter) / (itemWidth + gutter)) | |
| }) | |
| const list = computed(() => { | |
| const mergedList = Object.values(data.value).flat() | |
| const pureModels = mergedList.filter((item) => { | |
| return !item.isFolder | |
| }) | |
| function buildRegex(raw: string): RegExp { | |
| try { | |
| // Escape regex specials, then restore * wildcards as .* | |
| const escaped = raw | |
| .replace(/[.*+?^${}()|[\]\\]/g, '\\$&') | |
| .replace(/\\\*/g, '.*') | |
| return new RegExp(escaped, 'i') // case-insensitive | |
| } catch { | |
| return new RegExp(raw, 'i') | |
| } | |
| } | |
| const filterList = pureModels.filter((model) => { | |
| const showAllModel = currentType.value === allType | |
| const matchType = showAllModel || model.type === currentType.value | |
| const rawFilter = searchContent.value ?? '' | |
| const tokens = rawFilter.split(/\s+/).filter(Boolean) | |
| const regexes = tokens.map(buildRegex) | |
| // Require every token to match either the folder or the name | |
| const matchesAll = regexes.every( | |
| (re) => re.test(model.subFolder) || re.test(model.basename), | |
| ) | |
| return matchType && matchesAll | |
| }) | |
| let sortStrategy: (a: Model, b: Model) => number = () => 0 | |
| switch (sortOrder.value) { | |
| case 'name': | |
| sortStrategy = (a, b) => a.basename.localeCompare(b.basename) | |
| break | |
| case 'size': | |
| sortStrategy = (a, b) => b.sizeBytes - a.sizeBytes | |
| break | |
| case 'created': | |
| sortStrategy = (a, b) => b.createdAt - a.createdAt | |
| break | |
| case 'modified': | |
| sortStrategy = (a, b) => b.updatedAt - a.updatedAt | |
| break | |
| default: | |
| break | |
| } | |
| const sortedList = filterList.sort(sortStrategy) | |
| return chunk(sortedList, cols.value).map((row) => { | |
| return { key: row.map(genModelKey).join(','), row } | |
| }) | |
| }) | |
| const contentStyle = computed(() => ({ | |
| gridTemplateColumns: `repeat(auto-fit, ${cardSize.value.width}px)`, | |
| gap: `${gutter}px`, | |
| paddingLeft: `1rem`, | |
| paddingRight: `1rem`, | |
| })) | |
| const cardSizeOptions = computed(() => { | |
| const customSize = 'size.custom' | |
| const customOptionMap = { | |
| ...cardSizeMap.value, | |
| [customSize]: 'custom', | |
| } | |
| return Object.keys(customOptionMap).map((key) => { | |
| return { | |
| label: t(key), | |
| value: key, | |
| command: () => { | |
| if (key === customSize) { | |
| settings.showCardSizeSetting() | |
| } else { | |
| cardSizeFlag.value = key | |
| } | |
| }, | |
| } | |
| }) | |
| }) | |
| const showModelName = computed(() => { | |
| return cardSize.value.width > 120 && cardSize.value.height > 160 | |
| }) | |
| const showModeAction = computed(() => { | |
| return cardSize.value.width > 120 && cardSize.value.height > 160 | |
| }) | |
| const { addModelNode, copyModelNode, loadPreviewWorkflow } = | |
| useModelNodeAction() | |
| </script> | |