Instructions to use AEmotionStudio/ComfyUI-Model-Backups with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use AEmotionStudio/ComfyUI-Model-Backups with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("AEmotionStudio/ComfyUI-Model-Backups", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- llama.cpp
How to use AEmotionStudio/ComfyUI-Model-Backups 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 AEmotionStudio/ComfyUI-Model-Backups:Q4_K_S # Run inference directly in the terminal: llama cli -hf AEmotionStudio/ComfyUI-Model-Backups:Q4_K_S
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf AEmotionStudio/ComfyUI-Model-Backups:Q4_K_S # Run inference directly in the terminal: llama cli -hf AEmotionStudio/ComfyUI-Model-Backups: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 AEmotionStudio/ComfyUI-Model-Backups:Q4_K_S # Run inference directly in the terminal: ./llama-cli -hf AEmotionStudio/ComfyUI-Model-Backups: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 AEmotionStudio/ComfyUI-Model-Backups:Q4_K_S # Run inference directly in the terminal: ./build/bin/llama-cli -hf AEmotionStudio/ComfyUI-Model-Backups:Q4_K_S
Use Docker
docker model run hf.co/AEmotionStudio/ComfyUI-Model-Backups:Q4_K_S
- LM Studio
- Jan
- Ollama
How to use AEmotionStudio/ComfyUI-Model-Backups with Ollama:
ollama run hf.co/AEmotionStudio/ComfyUI-Model-Backups:Q4_K_S
- Unsloth Studio
How to use AEmotionStudio/ComfyUI-Model-Backups 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 AEmotionStudio/ComfyUI-Model-Backups 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 AEmotionStudio/ComfyUI-Model-Backups to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for AEmotionStudio/ComfyUI-Model-Backups to start chatting
- Pi
How to use AEmotionStudio/ComfyUI-Model-Backups with Pi:
Start the llama.cpp server
# Install llama.cpp: brew install llama.cpp # Start a local OpenAI-compatible server: llama serve -hf AEmotionStudio/ComfyUI-Model-Backups: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": "AEmotionStudio/ComfyUI-Model-Backups:Q4_K_S" } ] } } }Run Pi
# Start Pi in your project directory: pi
- Hermes Agent new
How to use AEmotionStudio/ComfyUI-Model-Backups with Hermes Agent:
Start the llama.cpp server
# Install llama.cpp: brew install llama.cpp # Start a local OpenAI-compatible server: llama serve -hf AEmotionStudio/ComfyUI-Model-Backups: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 AEmotionStudio/ComfyUI-Model-Backups:Q4_K_S
Run Hermes
hermes
- Atomic Chat new
- OpenClaw new
How to use AEmotionStudio/ComfyUI-Model-Backups with OpenClaw:
Start the llama.cpp server
# Install llama.cpp: brew install llama.cpp # Start a local OpenAI-compatible server: llama serve -hf AEmotionStudio/ComfyUI-Model-Backups: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 "AEmotionStudio/ComfyUI-Model-Backups: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 AEmotionStudio/ComfyUI-Model-Backups with Docker Model Runner:
docker model run hf.co/AEmotionStudio/ComfyUI-Model-Backups:Q4_K_S
- Lemonade
How to use AEmotionStudio/ComfyUI-Model-Backups with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull AEmotionStudio/ComfyUI-Model-Backups:Q4_K_S
Run and chat with the model
lemonade run user.ComfyUI-Model-Backups-Q4_K_S
List all available models
lemonade list
File size: 2,445 Bytes
2b811a2 | 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 | {
"_name_or_path": "florence2",
"architectures": [
"Florence2ForConditionalGeneration"
],
"auto_map": {
"AutoConfig": "configuration_florence2.Florence2Config",
"AutoModelForCausalLM": "modeling_florence2.Florence2ForConditionalGeneration"
},
"bos_token_id": 0,
"eos_token_id": 2,
"ignore_index": -100,
"model_type": "florence2",
"pad_token_id": 1,
"projection_dim": 1024,
"text_config": {
"vocab_size": 51289,
"activation_dropout": 0.1,
"activation_function": "gelu",
"add_bias_logits": false,
"add_final_layer_norm": false,
"attention_dropout": 0.1,
"bos_token_id": 0,
"classif_dropout": 0.1,
"classifier_dropout": 0.0,
"d_model": 1024,
"decoder_attention_heads": 16,
"decoder_ffn_dim": 4096,
"decoder_layerdrop": 0.0,
"decoder_layers": 12,
"decoder_start_token_id": 2,
"dropout": 0.1,
"early_stopping": true,
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"encoder_layers": 12,
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"forced_eos_token_id": 2,
"forced_bos_token_id": 0,
"gradient_checkpointing": false,
"init_std": 0.02,
"is_encoder_decoder": true,
"label2id": {
"LABEL_0": 0,
"LABEL_1": 1,
"LABEL_2": 2
},
"max_position_embeddings": 4096,
"no_repeat_ngram_size": 3,
"normalize_before": false,
"num_hidden_layers": 12,
"pad_token_id": 1,
"scale_embedding": false,
"num_beams": 3
},
"vision_config": {
"model_type": "davit",
"drop_path_rate": 0.1,
"patch_size": [7, 3, 3, 3],
"patch_stride": [4, 2, 2, 2],
"patch_padding": [3, 1, 1, 1],
"patch_prenorm": [false, true, true, true],
"enable_checkpoint": false,
"dim_embed": [256, 512, 1024, 2048],
"num_heads": [8, 16, 32, 64],
"num_groups": [8, 16, 32, 64],
"depths": [1, 1, 9, 1],
"window_size": 12,
"projection_dim": 1024,
"visual_temporal_embedding": {
"type": "COSINE",
"max_temporal_embeddings": 100
},
"image_pos_embed": {
"type": "learned_abs_2d",
"max_pos_embeddings": 50
},
"image_feature_source": ["spatial_avg_pool", "temporal_avg_pool"]
},
"vocab_size": 51289,
"torch_dtype": "float16",
"transformers_version": "4.41.0.dev0",
"is_encoder_decoder": true
} |