I compiled a little collection of flux.1 models. there are fp8 models with fp8 t5 and fp8 models with fp16 t5 for both dev and schnell. Single files for use with the regular checkpoint loader. there are also fp16 models available now. all models have clip, t5, and vae baked in. THESE ARE ALL STOCK FLUX.1

Forr flux kontext, see here https://civarchive.com/articles/16348/flux1-kontext-dev-quantized-models-available

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These all use bf16 upcasting, use the appropriate flags if you are tuning on gtx cards for some reason.

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Unified single file versions of flux.1 for comfyui. All files have a baked in VAE and clip L included:

flux.1_dev_8x8_e4m3fn-marduk191.safetensors is Flux.1 Dev quantized to 8 bit with an 8 bit T5 XXL encoder included.

flux.1_dev_fp8_fp16t5-marduk191.safetensors is Flux.1 Dev quantized to 8 bit with an 16 bit T5 XXL encoder included.

flux.1_schnell_8x8_e4m3fn-marduk191.safetensors is Flux.1 Schnell quantized to 8 bit with an 8 bit T5 XXL encoder included.

flux.1_schnell_fp8_fp16t5-marduk191.safetensors is Flux.1 Schnell quantized to 8 bit with an 16 bit T5 XXL encoder included.

flux.1_dev_16x16-marduk191.safetensors Flux.1 Dev quantized to 16 bit with an 16 bit T5 XXL encoder included.

flux.1_schnell_16x16-marduk191.safetensors Flux.1 Schnell quantized to 16 bit with an 16 bit T5 XXL encoder included.

flux.1_dev_8x8_scaled-marduk191.safetensors is Flux.1 Dev quantized to 8 bit scaled stochastic weights and normalized outlaying alphas. It uses an 8 bit scale dstochastic (tag limited to avoid loss) T5 XXL encoder included.

Workflow examples are available here: SOON

Repository is here: https://huggingface.co/marduk191/Flux.1_collection/tree/main

Discord: https://discord.gg/s3kj9VqpKc

Tips welcome: https://ko-fi.com/marduk191