Instructions to use UmeAiRT/ComfyUI-Auto-Installer-Assets with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use UmeAiRT/ComfyUI-Auto-Installer-Assets with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("UmeAiRT/ComfyUI-Auto-Installer-Assets", 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
| license: mit | |
| # UmeAiRT - ComfyUI auto installer | |
| I'm sharing with you my installation script, which automatically provides ComfyUI, workflows, model Flux fp8 and GGUF, ... | |
| Just run "ComfyUI-AllinOne-Auto_install.bat". | |
| With a few questions at the beginning of the script, only the desired elements will be downloaded. | |
| ## What's included : | |
| ### ComfyUI : | |
| - portable version nvidia cu121 | |
| - ComfyUI Manager | |
| - new interface settings | |
| ### Workflow : | |
| - TXT to IMG | |
| - IMG to IMG | |
| - Inpainting | |
| - Outpainting | |
| - Upscale | |
| - ControlNet DEPTH | |
| - ControlNet CANNY | |
| - ControlNet HED | |
| - PuLID | |
| - IMG to TXT | |
| ### Flux1 | |
| - flux1-dev | |
| - flux1-dev-fp8 | |
| - flux1-schnell-fp8 | |
| - clip_l | |
| - t5xxl_fp8_e4m3fn | |
| - t5xxl_fp16 | |
| - ae | |
| ### GGUF | |
| - flux1-dev-Q8_0 | |
| - t5-v1_1-xxl-encoder-Q8_0 | |
| - flux1-dev-Q5_K_S | |
| - t5-v1_1-xxl-encoder-Q5_K_M | |
| - flux1-dev-Q4_K_S | |
| - t5-v1_1-xxl-encoder-Q3_K_L | |
| ### Optimised text encoder | |
| - ViT-L-14-TEXT-detail-improved-hiT-GmP-TE-only-HF | |
| ### Upscale Model : | |
| - 4x_NMKD-Siax_200k | |
| - 4x-ClearRealityV1 | |
| ### ControlNet : | |
| - flux-canny-controlnet-v3 | |
| - flux-depth-controlnet-v3 | |
| - flux-hed-controlnet-v3 |