Free Google Colab notebooks for popular ComfyUI workflows on low VRAM GPUs (focused on Colab Free T4).
I put a lot of time and effort into these notebooks. They are tuned, tested, and maintained so people can run popular models for free in Colab.
The goal is simple: fast, practical, and stable model access in Colab without heavy local setup.
- Auto quant selection by VRAM budget (rare in public Colab packs).
- GGUF-first setup for low VRAM use cases.
- Match-only Lenovo UltraReal LoRA download by base-model tag.
- Built-in Hugging Face + Civitai token prompts.
- Stable Cloudflare tunnel launch logic with retries and health checks.
- Low-VRAM defaults for Colab T4 (memory-aware settings).
- Ready-to-use per-model workflow JSON files in this repo.
- What: FLUX-based SRPO GGUF text-to-image notebook tuned for quick T4 runs.
- Model creators/sources: FLUX.1 family by Black Forest Labs, SRPO model by Tencent Hunyuan (
tencent/SRPO), GGUF conversion pack bybefox. - Workflow:
workflows/flux_srpo/flux_schnell_full_text_to_image.json - Preview image: coming soon.
- What: Flux.2 Klein 9B base/distilled GGUF notebook for T2I and edit flows.
- Model creators/sources: FLUX.2 family by Black Forest Labs, GGUF releases by
unsloth, VAE package byComfy-Org. - Workflows:
workflows/flux2_klein9b_gguf/ - Preview image: coming soon.
- What: Z-Image base GGUF setup for quality-oriented generation.
- Model creators/sources: original Z-Image by
Tongyi-MAI(Tongyi-MAI/Z-Image), GGUF ports byunsloth, ComfyUI split assets used fromComfy-Org/z_image. - Workflow:
workflows/zimage_base/zimage_base_test_workflow.json - Preview image: coming soon.
- What: fast Z-Image Turbo GGUF notebook for speed-first generation.
- Model creators/sources: original Z-Image Turbo by
Tongyi-MAI(Tongyi-MAI/Z-Image-Turbo), GGUF ports byunsloth, ComfyUI split assets used fromComfy-Org/z_image. - Workflow:
workflows/zimage_turbo/zimage_turbo_test_workflow.json - Preview image: coming soon.
- What: combo notebook with Turbo + Base variants in one setup.
- Model creators/sources: original Z-Image models by
Tongyi-MAI(Tongyi-MAI/Z-ImageandTongyi-MAI/Z-Image-Turbo), GGUF variants byunsloth, ComfyUI split assets used fromComfy-Org/z_image. - Workflows:
workflows/zimage_turbo_base/ - Preview image: coming soon.
- What: two-stage pipeline (Z-Image generation + SeedVR2 upscaling).
- Model creators/sources: original Z-Image Turbo by
Tongyi-MAI(Tongyi-MAI/Z-Image-Turbo) with GGUF ports byunsloth, SeedVR2 node/files bynumzand GGUF pack bycmeka. - Workflows:
workflows/zimage_seedvr2/ - Preview image: coming soon.
- What: Qwen Image 2512 GGUF generation notebook with optional Lightning LoRA.
- Model creators/sources: Qwen family by Alibaba/Qwen team, GGUF packs by
unslothandggml-org, Lightning LoRA bylightx2v. - Workflow:
workflows/qwen_image_2512/qwen_image_test_workflow.json - Preview image: coming soon.
- What: Qwen Image Edit 2511 notebook for image editing use cases.
- Model creators/sources: Qwen family by Alibaba/Qwen team, GGUF packs by
unslothandggml-org, Lightning LoRA bylightx2v. - Workflow:
workflows/qwen_image_edit_2511/qwen_image_edit_test_workflow_v2.json - Preview image: coming soon.
- What: Chroma1-HD text-to-image GGUF notebook.
- Model creators/sources: Chroma1-HD by
lodestones, GGUF package bysilveroxides. - Workflow:
workflows/chroma1_hd_gguf/ComfyUI_Chroma1-HD_T2I-workflow.json - Preview image: coming soon.
notebooks/_paused/ltx2_gguf/notebooks/_paused/wan22_14b_combo/
These are kept in repo and can be returned to active catalog after validation.
free-comfyui-colab-pack/
notebooks/<model>/comfy_<model>.ipynb
notebooks/_paused/<model>/comfy_<model>.ipynb
workflows/<model>/*.json
workflows/_paused/<model>/*.json
docs/
- Open a notebook from
notebooks/<model>/in Colab. - Run cells top-to-bottom.
- Enter Hugging Face token when asked.
- Enter Civitai token when asked (recommended for LoRA downloads).
- Open generated Cloudflare link and load workflow from
workflows/<model>/.
If these notebooks save you time, please support development:
I spend a lot of time on open-source projects. Even a $1 donation helps and goes directly to GPU servers and food.
Wallet addresses:
- TON:
UQAMPvqduXVWyax325-zqk81rTwNG1bRhCvXPyIs7eeIxEVp - USDT (TON):
UQAMPvqduXVWyax325-zqk81rTwNG1bRhCvXPyIs7eeIxEVp - Memo/Tag: check Wallet receive screen before sending.
See full support info in docs/SUPPORT.md.
- Email:
ekkonwork@gmail.com - Telegram:
@Mikhail_ML_ComfyUI
- Respect model licenses and terms.
- Cloudflare tunnels can still be unstable in Colab due to external network conditions.



