ComfyUI Node: ThinkingLLM Prompt Enhancer (GGUF)

Authored by goodguy1963

Created

Updated

13 stars

Run ComfyUI workflows without the setup

No installs, no CUDA version roulette, no GPU sitting idle on your bill. Bring a workflow and run it in the browser.

Category

ThinkingLLM

Inputs

model_name
  • Goekdeniz-Guelmez.Josiefied-Qwen3-4B-Instruct-2507-gabliterated-v1.Q4_K_M.gguf [~2.4GB]
  • Goekdeniz-Guelmez.Josiefied-Qwen3-4B-Instruct-2507-gabliterated-v1.Q5_K_M.gguf [~2.8GB]
  • Goekdeniz-Guelmez.Josiefied-Qwen3-4B-Instruct-2507-gabliterated-v1.Q6_K.gguf [~3.2GB]
  • Goekdeniz-Guelmez.Josiefied-Qwen3-4B-Instruct-2507-gabliterated-v1.Q8_0.gguf [~4.2GB]
  • Goekdeniz-Guelmez.Josiefied-Qwen3-4B-Instruct-2507-gabliterated-v1.f16.gguf [~8GB]
  • Josiefied-Qwen3-4B-abliterated-v1.Q4_K_M.gguf [~2.4GB]
  • Josiefied-Qwen3-4B-abliterated-v1.Q5_K_M.gguf [~2.8GB]
  • Josiefied-Qwen3-4B-abliterated-v1.Q6_K.gguf [~3.2GB]
  • Josiefied-Qwen3-4B-abliterated-v1.Q8_0.gguf [~4.2GB]
  • Josiefied-Qwen3-4B-abliterated-v1.f16.gguf [~8GB]
  • Josiefied-Qwen3-8B-abliterated-v1.Q4_K_M.gguf [~5.3GB]
  • Josiefied-Qwen3-8B-abliterated-v1.Q5_K_M.gguf [~6.5GB]
  • Josiefied-Qwen3-8B-abliterated-v1.Q6_K.gguf [~7.5GB]
  • Josiefied-Qwen3-8B-abliterated-v1.Q8_0.gguf [~9GB]
  • Josiefied-Qwen3-8B-abliterated-v1.f16.gguf [~16GB]
  • Qwen3-4B-Q4_K_M.gguf [~2.4GB]
  • Qwen3-4B-Q5_K_M.gguf [~2.8GB]
  • Qwen3-4B-Q6_K.gguf [~3.2GB]
  • Qwen3-4B-Q8_0.gguf [~4.2GB]
  • Qwen3-4B-abliterated.Q4_K_M.gguf [~2.4GB]
  • Qwen3-4B-abliterated.Q5_K_M.gguf [~2.8GB]
  • Qwen3-4B-abliterated.Q6_K.gguf [~3.2GB]
  • Qwen3-4B-abliterated.Q8_0.gguf [~4.2GB]
  • Qwen3-4B-abliterated.f16.gguf [~8GB]
  • Qwen3-VL-4B-Instruct-c_abliterated-v2.Q4_K_M.gguf [~2.4GB]
  • Qwen3-VL-4B-Instruct-c_abliterated-v2.Q5_K_M.gguf [~2.8GB]
  • Qwen3-VL-4B-Instruct-c_abliterated-v2.Q6_K.gguf [~3.2GB]
  • Qwen3-VL-4B-Instruct-c_abliterated-v2.Q8_0.gguf [~4.2GB]
  • Qwen3-VL-4B-Instruct-c_abliterated-v2.f16.gguf [~8GB]
  • Qwen3-VL-8B-Instruct-c_abliterated-v3.Q4_K_M.gguf [~5.3GB]
  • Qwen3-VL-8B-Instruct-c_abliterated-v3.Q5_K_M.gguf [~6.5GB]
  • Qwen3-VL-8B-Instruct-c_abliterated-v3.Q6_K.gguf [~7.5GB]
  • Qwen3-VL-8B-Instruct-c_abliterated-v3.Q8_0.gguf [~9GB]
  • Qwen3-VL-8B-Instruct-c_abliterated-v3.f16.gguf [~16GB]
  • Qwen3.5-27B-Q4_K_M.gguf [~15GB]
  • Qwen3.5-27B-Q5_K_M.gguf [~18GB]
  • Qwen3.5-27B-Q6_K.gguf [~21GB]
  • Qwen3.5-27B-Q8_0.gguf [~27GB]
  • Qwen3.5-27B-Uncensored-HauhauCS-Aggressive-BF16.gguf [~54GB]
  • Qwen3.5-27B-Uncensored-HauhauCS-Aggressive-Q4_K_M.gguf [~15GB]
  • Qwen3.5-27B-Uncensored-HauhauCS-Aggressive-Q6_K.gguf [~21GB]
  • Qwen3.5-27B-Uncensored-HauhauCS-Aggressive-Q8_0.gguf [~27GB]
  • Qwen3.5-4B-BF16.gguf [~8GB]
  • Qwen3.5-4B-Q4_K_M.gguf [~2.4GB]
  • Qwen3.5-4B-Q6_K.gguf [~3.2GB]
  • Qwen3.5-4B-Q8_0.gguf [~4.2GB]
  • Qwen3.5-4B-Uncensored-HauhauCS-Aggressive-BF16.gguf [~8GB]
  • Qwen3.5-4B-Uncensored-HauhauCS-Aggressive-Q4_K_M.gguf [~2.4GB]
  • Qwen3.5-4B-Uncensored-HauhauCS-Aggressive-Q6_K.gguf [~3.2GB]
  • Qwen3.5-4B-Uncensored-HauhauCS-Aggressive-Q8_0.gguf [~4.2GB]
  • Qwen3.5-9B-BF16.gguf [~17GB]
  • Qwen3.5-9B-Q4_K_M.gguf [~5.3GB]
  • Qwen3.5-9B-Q6_K.gguf [~7.5GB]
  • Qwen3.5-9B-Q8_0.gguf [~9GB]
  • Qwen3.5-9B-Uncensored-HauhauCS-Aggressive-BF16.gguf [~17GB]
  • Qwen3.5-9B-Uncensored-HauhauCS-Aggressive-Q4_K_M.gguf [~5.3GB]
  • Qwen3.5-9B-Uncensored-HauhauCS-Aggressive-Q6_K.gguf [~7.5GB]
  • Qwen3.5-9B-Uncensored-HauhauCS-Aggressive-Q8_0.gguf [~9GB]
  • Qwen3.6-35B-A3B-Uncensored-HauhauCS-Aggressive-IQ2_M.gguf
  • Qwen3.6-35B-A3B-Uncensored-HauhauCS-Aggressive-IQ3_M.gguf
  • Qwen3.6-35B-A3B-Uncensored-HauhauCS-Aggressive-IQ4_NL.gguf
  • Qwen3.6-35B-A3B-Uncensored-HauhauCS-Aggressive-IQ4_XS.gguf
  • Qwen3.6-35B-A3B-Uncensored-HauhauCS-Aggressive-Q2_K_P.gguf [~11GB]
  • Qwen3.6-35B-A3B-Uncensored-HauhauCS-Aggressive-Q3_K_P.gguf
  • Qwen3.6-35B-A3B-Uncensored-HauhauCS-Aggressive-Q4_K_M.gguf [~20GB]
  • Qwen3.6-35B-A3B-Uncensored-HauhauCS-Aggressive-Q4_K_P.gguf
  • Qwen3.6-35B-A3B-Uncensored-HauhauCS-Aggressive-Q5_K_P.gguf
  • Qwen3.6-35B-A3B-Uncensored-HauhauCS-Aggressive-Q6_K_P.gguf [~31GB]
  • Qwen3.6-35B-A3B-Uncensored-HauhauCS-Aggressive-Q8_K_P.gguf
  • gemma-4-12b-it-BF16.gguf [~24GB]
  • gemma-4-12b-it-Q4_K_M.gguf [~7.5GB]
  • gemma-4-12b-it-Q4_K_S.gguf [~7.5GB]
  • gemma-4-12b-it-Q5_K_M.gguf [~9GB]
  • gemma-4-12b-it-Q5_K_S.gguf [~9GB]
  • gemma-4-12b-it-Q6_K.gguf [~11GB]
  • gemma-4-12b-it-Q8_0.gguf [~13GB]
  • gemma-4-12b-it-UD-Q4_K_XL.gguf
  • gemma-4-26B-A4B-it-BF16.gguf
  • gemma-4-26B-A4B-it-Q4_K_M.gguf [~15GB]
  • gemma-4-26B-A4B-it-Q6_K.gguf
  • gemma-4-26B-A4B-it-Q8_0.gguf [~24GB]
  • gemma-4-31B-it-BF16.gguf
  • gemma-4-31B-it-Q4_K_M.gguf [~20GB]
  • gemma-4-31B-it-Q6_K.gguf
  • gemma-4-31B-it-Q8_0.gguf [~32GB]
  • gemma-4-E4B-it-BF16.gguf
  • gemma-4-E4B-it-Q4_K_M.gguf [~5.4GB]
  • gemma-4-E4B-it-Q6_K.gguf
  • gemma-4-E4B-it-Q8_0.gguf [~8GB]
  • google_gemma-4-E2B-it-Q4_K_S.gguf [~3.2GB]
  • google_gemma-4-E2B-it-Q4_K_S.gguf [~3.2GB] (Gemma-4-E2B-Uncensored-GGUF [Q4:3.2GB|Q8:4.7GB|BF16:8.7GB|VRAM:~5GB])
  • google_gemma-4-E2B-it-Q8_0.gguf [~4.7GB]
  • google_gemma-4-E2B-it-Q8_0.gguf [~4.7GB] (Gemma-4-E2B-Uncensored-GGUF [Q4:3.2GB|Q8:4.7GB|BF16:8.7GB|VRAM:~5GB])
  • google_gemma-4-E2B-it-bf16.gguf [~8.7GB]
  • google_gemma-4-E2B-it-bf16.gguf [~8.7GB] (Gemma-4-E2B-Uncensored-GGUF [Q4:3.2GB|Q8:4.7GB|BF16:8.7GB|VRAM:~5GB])
  • google_gemma-4-E4B-it-Q4_K_M.gguf [~5.4GB]
  • google_gemma-4-E4B-it-Q5_K_M.gguf
  • google_gemma-4-E4B-it-Q6_K.gguf
  • google_gemma-4-E4B-it-Q8_0.gguf [~8GB]
  • google_gemma-4-E4B-it-bf16.gguf
prompt_text STRING
preset_system_prompt
  • ✍️ Custom Only (no preset)
  • 📖 LTX 2.3 NSFW T2V Scene
  • 📖 Wan 2.2 NSFW T2V Scene (20s)
  • 🍿 Wan 2.2 NSFW T2V Timeline (3)
  • 🍿 Wan 2.2 NSFW T2V Timeline (5s)
  • 🎬 Wan 2.2 NSFW T2V Timeline (20s)
  • 🎥 Wan 2.2 NSFW T2V Scene (3s)
  • 🎥 Wan 2.2 NSFW T2V Scene (5s)
  • 📝 Enhance
  • 📝 Refine
  • 📝 Creative Rewrite
  • 📝 Detailed Visual
  • 📝 Artistic Style
  • 📝 Technical Specs
custom_system_prompt STRING
max_tokens INT
temperature FLOAT
top_p FLOAT
repetition_penalty FLOAT
english_output BOOLEAN
device
  • auto
  • cuda
  • cpu
  • mps
keep_model_loaded BOOLEAN
seed INT
keep_last_prompt BOOLEAN
stream_tokens_to_terminal BOOLEAN
enable_thinking BOOLEAN
auto_finalization_retry BOOLEAN
hf_token STRING

Outputs

STRING

STRING

Extension: ComfyUI-ThinkingLLM

A multimodal ComfyUI AI node with Qwen3.5, Qwen3-VL, Qwen2.5-VL, Qwen3, and Gemma 4 integrations. Features live thinking in the terminal to see what the LLM is doing in real time.

Authored by goodguy1963

View Nodes

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More nodes in ComfyUI-ThinkingLLM

Run ComfyUI workflows without the setup

No installs, no CUDA version roulette, no GPU sitting idle on your bill. Bring a workflow and run it in the browser.

Learn more