ComfyUI Node: Kandinsky2.2 Prior 2-Averaging
Run ComfyUI workflows without the setup
No installs, no CUDA version roulette, no GPU sitting idle on your bill. Bring a workflow and run it in the browser.
Category
conditioning
Inputs
in1 PRIOR_LATENT
w1 FLOAT
in2 PRIOR_LATENT
w2 FLOAT
Outputs
PRIOR_LATENT
Extension: Kandinsky 2.2 ComfyUI Plugin
Nodes provide an options to combine prior and decoder models of Kandinsky 2.2.
Authored by vsevolod-oparin
Looking for a different node?
More nodes in Kandinsky 2.2 ComfyUI Plugin
- Kandinsky2.2 Decoder Loader
- Kandinsky2.2 Hint Combiner
- Kandinsky2.2 Image Encoder
- Kandinsky2.2 Image Latents
- Kandinsky2.2 Latents
- Kandinsky2.2 MovQ Decoder
- Kandinsky2.2 Positive Text Encoder
- Kandinsky2.2 Prior 3-Averaging
- Kandinsky2.2 Prior 4-Averaging
- Kandinsky2.2 Prior Loader
- Kandinsky2.2 Text Encoder
- Kandinsky2.2 Unet Decoder
Other conditioning nodes
Run ComfyUI workflows without the setup
No installs, no CUDA version roulette, no GPU sitting idle on your bill. Bring a workflow and run it in the browser.