Instructions to use saik0s/comfy_backup with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

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

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

comfy_backup / app /assets /database /queries /__init__.py

saik0s

Add files using upload-large-folder tool

f1e06e5 verified 23 days ago

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4.12 kB

	from app.assets.database.queries.asset import (
	asset_exists_by_hash,
	bulk_insert_assets,
	create_stub_asset,
	get_asset_by_hash,
	get_existing_asset_ids,
	reassign_asset_references,
	update_asset_hash_and_mime,
	upsert_asset,
	)
	from app.assets.database.queries.asset_reference import (
	CacheStateRow,
	UnenrichedReferenceRow,
	bulk_insert_references_ignore_conflicts,
	bulk_update_enrichment_level,
	count_active_siblings,
	bulk_update_is_missing,
	bulk_update_needs_verify,
	convert_metadata_to_rows,
	delete_assets_by_ids,
	delete_orphaned_seed_asset,
	delete_reference_by_id,
	delete_references_by_ids,
	fetch_reference_and_asset,
	fetch_reference_asset_and_tags,
	get_or_create_reference,
	get_reference_by_file_path,
	get_reference_by_id,
	get_reference_with_owner_check,
	get_reference_ids_by_ids,
	get_references_by_paths_and_asset_ids,
	get_references_for_prefixes,
	get_unenriched_references,
	get_unreferenced_unhashed_asset_ids,
	insert_reference,
	list_all_file_paths_by_asset_id,
	list_references_by_asset_id,
	list_references_page,
	mark_references_missing_outside_prefixes,
	rebuild_metadata_projection,
	reference_exists,
	reference_exists_for_asset_id,
	restore_references_by_paths,
	set_reference_metadata,
	set_reference_preview,
	set_reference_system_metadata,
	soft_delete_reference_by_id,
	update_reference_access_time,
	update_reference_name,
	update_is_missing_by_asset_id,
	update_reference_timestamps,
	update_reference_updated_at,
	upsert_reference,
	)
	from app.assets.database.queries.tags import (
	AddTagsResult,
	RemoveTagsResult,
	SetTagsResult,
	add_missing_tag_for_asset_id,
	add_tags_to_reference,
	bulk_insert_tags_and_meta,
	ensure_tags_exist,
	get_reference_tags,
	list_tag_counts_for_filtered_assets,
	list_tags_with_usage,
	remove_missing_tag_for_asset_id,
	remove_tags_from_reference,
	set_reference_tags,
	validate_tags_exist,
	)

	__all__ = [
	"AddTagsResult",
	"CacheStateRow",
	"RemoveTagsResult",
	"SetTagsResult",
	"UnenrichedReferenceRow",
	"add_missing_tag_for_asset_id",
	"add_tags_to_reference",
	"asset_exists_by_hash",
	"bulk_insert_assets",
	"bulk_insert_references_ignore_conflicts",
	"bulk_insert_tags_and_meta",
	"bulk_update_enrichment_level",
	"count_active_siblings",
	"create_stub_asset",
	"bulk_update_is_missing",
	"bulk_update_needs_verify",
	"convert_metadata_to_rows",
	"delete_assets_by_ids",
	"delete_orphaned_seed_asset",
	"delete_reference_by_id",
	"delete_references_by_ids",
	"ensure_tags_exist",
	"fetch_reference_and_asset",
	"fetch_reference_asset_and_tags",
	"get_asset_by_hash",
	"get_existing_asset_ids",
	"get_or_create_reference",
	"get_reference_by_file_path",
	"get_reference_by_id",
	"get_reference_with_owner_check",
	"get_reference_ids_by_ids",
	"get_reference_tags",
	"get_references_by_paths_and_asset_ids",
	"get_references_for_prefixes",
	"get_unenriched_references",
	"get_unreferenced_unhashed_asset_ids",
	"insert_reference",
	"list_all_file_paths_by_asset_id",
	"list_references_by_asset_id",
	"list_references_page",
	"list_tag_counts_for_filtered_assets",
	"list_tags_with_usage",
	"mark_references_missing_outside_prefixes",
	"reassign_asset_references",
	"rebuild_metadata_projection",
	"reference_exists",
	"reference_exists_for_asset_id",
	"remove_missing_tag_for_asset_id",
	"remove_tags_from_reference",
	"restore_references_by_paths",
	"set_reference_metadata",
	"set_reference_preview",
	"set_reference_system_metadata",
	"soft_delete_reference_by_id",
	"set_reference_tags",
	"update_asset_hash_and_mime",
	"update_is_missing_by_asset_id",
	"update_reference_access_time",
	"update_reference_name",
	"update_reference_timestamps",
	"update_reference_updated_at",
	"upsert_asset",
	"upsert_reference",
	"validate_tags_exist",
	]