DreamO Flux GGUF Image to Image(Low VRAM) w/ Detail Daemon
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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 - Â 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 Â
DreamO ComfyUI FP8 Workflow - https://drive.google.com/file/d/1oANCCDndHB0w6IpfZQg1wcHF1cvwQgE4/view?usp=sharing
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- latest (7 months ago)
Node Details
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)
Model Details
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