FLUX 12GB SUPER EASY
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YESSSS!
it is possible to run FLUX.1 on an RTX 3060 12 GB VRAM and 32 GB of system RAM.
1 - Download the 11.9 GB model from:
https://huggingface.co/Kijai/flux-fp8/tree/main
move it to comfyUI/models/unet
I use DEV with 20 steps but we can run Schnell at 4 steps
Note: Schnell is more speed and less quality but upscalers can fix that.
2 - Download the fp8 clip and clip_l from:
https://huggingface.co/comfyanonymous/flux_text_encoders/tree/main
move them comfyUI/models/clip
3 - Download the vae model from:
https://huggingface.co/black-forest-labs/FLUX.1-dev/tree/main/vae
rename the file to flux_vae.safetensors an move to comfyUI/models/vae
all done! -
Launch comfyUI with argument --lowvram after main.py in the terminal or add it to your .bat file
Load the workflow and close any unnecessary browsers and windows.
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Versions (1)
- latest (9 months ago)
Node Details
Primitive Nodes (0)
Custom Nodes (13)
ComfyUI
- EmptyLatentImage (1)
- RandomNoise (1)
- KSamplerSelect (1)
- SplitSigmas (1)
- BasicScheduler (1)
- BasicGuider (1)
- SamplerCustomAdvanced (1)
- VAELoader (1)
- VAEDecode (1)
- UNETLoader (1)
- DualCLIPLoader (1)
- SaveImage (1)
- CLIPTextEncode (1)
Model Details
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