FLUX COMPACT

I am excited to present a collection of compact Flux models, with Clips and VAE included in a single model, optimized to integrate seamlessly into a variety of existing workflows. These compact versions come with the various combinations of Clips and Models, ensuring that they can be easily loaded directly via nodes such as 'CheckpointLoaderSimple' and others, without the need for additional configuration.

As Sampler Node you can use the ones already present for SDXL using CFG 1, or you can use 'SamplersCustomAdvanced' that is dedicated to FLUX.

If you use the dedicated FLUX node above , you can use one of the 'Guiders' as nodes to manage the guidance instead of the 'CFG of the sampler'

if not, you can use the 'FluxGuidance' node placed between the prompt and the sampler to manage the guidance on the other samplers already present for SDXL, keeping their CFG at 1 and modifying that of the new node.

By reducing the final size by about 30%, these models are also accessible on less powerful machines, although I am not sure how this is possible. In my tests, I have not observed any differences in the generated outputs compared to the full versions.

Let me know more with your experiments.

I claim no credit for the original creation and publication of these models; all rights are reserved to 'Black Forest Labs' and their talented team. My goal is to make their excellent work more accessible to the community.

I hope these compact Flux models will be useful to you and contribute to your creative and technical endeavors. Your feedback is greatly appreciated as we continue to explore and refine these tools together.

Flux.1-Dev Compact

MAIN SAMPLER: Euler + Simple

NORMAL CFG: 1

FLUX GUIDANCE: 2+

BETTER STEPS: 20+

Flux.1-Schnell Compact

MAIN SAMPLER: Euler + Simple

NORMAL CFG: 1

FLUX GUIDANCE: 2+

BETTER STEPS: 4+

VERSIONS CONTENTS:

Flux.1-Dev fp8

• Unet: Flux.1-Dev

• weight_dtype: fp8_e4m3fn

• Clip1: t5xxl_fp8_e4m3fn

• Clip2: clip_l

• VAE: ae_Dev

Flux.1-Dev fp16

• Unet: Flux.1-Dev

• weight_dtype: fp8_e4m3fn

• Clip1: t5xxl_fp16

• Clip2: clip_l

• VAE: ae_Dev

Flux.1-Schnell fp8

• Unet: Flux.1-Schnell

• weight_dtype: fp8_e4m3fn

• Clip1: t5xxl_fp8_e4m3fn

• Clip2: clip_l

• VAE: ae_Schnell

Flux.1-Schnell fp16

• Unet: Flux.1-Schnell

• weight_dtype: fp8_e4m3fn

• Clip1: t5xxl_fp16

• Clip2: clip_l

• VAE: ae_Schnell

Flux.1-Dev fp16 ALT

• Unet: Flux.1-Dev

• weight_dtype: fp8_e5m2

• Clip1: t5xxl_fp16

• Clip2: clip_l

• VAE: ae_Dev

Flux.1-Dev fp8 ALT

• Unet: Flux.1-Dev

• weight_dtype: fp8_e5m2

• Clip1: t5xxl_fp8_e4m3fn

• Clip2: clip_l

• VAE: ae_Dev