It is not clear how to use this

[Elendil211]

I tried using this, and I failed on knowing what to download and how to configure the program.

As described in the README, I used Unet Loader (GGUF) to load https://huggingface.co/city96/FLUX.1-schnell-gguf/tree/main. However, I also need CLIP and VAE.

I tried guessing:

• VAE: Load VAE with either
  • https://huggingface.co/black-forest-labs/FLUX.1-schnell/blob/main/ae.safetensors or
  • https://huggingface.co/black-forest-labs/FLUX.1-schnell/blob/main/vae/diffusion_pytorch_model.safetensors
• CLIP, either:
  • CLIPLoader (GGUF) with https://huggingface.co/city96/t5-v1_1-xxl-encoder-gguf/tree/main
  • or DualCLIPLoader (GGUF) with a combination of https://huggingface.co/black-forest-labs/FLUX.1-schnell/blob/main/text_encoder/model.safetensors and https://huggingface.co/city96/t5-v1_1-xxl-encoder-gguf/tree/main

But none of this works, and the CLIP Text Encode (Prompt) just never finishes without any indication of what is wrong.

[city96]

Yeah, the readme really needs to be rewritten. You're supposed to use the DualCLIPLoader, which needs both the T5 and the clip-l model with the mode set to "flux". The clip-l and default T5 models are here. Even with the gguf one you still need the regular clip_l.safetensors one.

[Elendil211]

And what do I use for VAE?

[city96]

The one you linked is correct, the quantization stuff doesn't change anything about the VAE. (There also an example page here that links to all the default models).

[al-swaiti]

this workflow could help u https://civitai.com/models/652981/gguf-workflow-simple