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DreamO Flux GGUF Image to Image(Low VRAM) w/ Detail Daemon

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Description

I put together a simple Flux GGUF version for the DreamO Image Customization workflow. Tested with as little as 6GB VRAM and includes the detail daemon sampler for extra sharpness and detail.


I have a video tutorial on how to set it up here -  https://youtu.be/1qJ8cE8NR-w


Also created a Runpod GPU Cloud Template for the Flux Dev FP8 model if more compute and higher quality is needed:

DreamO ComfyUI Runpod Template - https://get.runpod.io/DreamO-ComfyUI-Template  

DreamO ComfyUI FP8 Workflow - https://drive.google.com/file/d/1oANCCDndHB0w6IpfZQg1wcHF1cvwQgE4/view?usp=sharing

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    Bytedance DreamO AI Image LoRA - Flux AI ComfyUI.jpg (110.6 kB)

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  • - latest (7 months ago)

Primitive Nodes (9)

ApplyDreamO (1)

DetailDaemonSamplerNode (1)

DreamOProcessorLoader (1)

DreamORefEncode (3)

EmptySD3LatentImage (1)

FluxGuidance (1)

UnetLoaderGGUF (1)

Custom Nodes (22)

ComfyUI

  • - LoraLoaderModelOnly (5)

  • - DualCLIPLoader (1)

  • - VAEDecode (1)

  • - RandomNoise (1)

  • - SaveImage (1)

  • - SamplerCustomAdvanced (1)

  • - CFGGuider (1)

  • - CLIPTextEncode (2)

  • - BasicScheduler (1)

  • - KSamplerSelect (1)

  • - PreviewImage (3)

  • - LoadImage (3)

  • - VAELoader (1)

Checkpoints (0)

LoRAs (5)

FLUX.1-Turbo-Alpha.safetensors

dreamo_cfg_distill_comfyui.safetensors

dreamo_comfyui.safetensors

dreamo_quality_lora_neg_comfyui.safetensors

dreamo_quality_lora_pos_comfyui.safetensors