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
metadata
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