Comments (2)
You don't need to leave the latent space until the very end. Example workflow:
You might have to though since latent upscale requires pretty high denoise and will produce some serious artifacts due to prompt applying to each tile. So your choices are to use pixel upscale with lower denoise or apply controlnet which would also need a decoded image.
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Thanks for the reply and info. It was my mistake since I overlooked the upscale between stages. I wonder what happens when you do a mixture of diffusers and a multi-diffusion on the same latent? Does it improve things? Fix tile seams? But for the upscale - It's been a while since I've compared upscaling in latent space to upscaling in pixel space but my memory is that pixel space is better, but I may try it again with your tile nodes. Pixel space allows one to use the upscale models.
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Related Issues (20)
- Import failed HOT 1
- Import failed HOT 4
- Noise invertion HOT 3
- Second Tiled Diffusion run in the workflow:
- Using the example Simple and 4x Upscale workflows results in an error when using SDXL HOT 2
- Simple Upscale example workflow produces jumbled images HOT 1
- Excuse me, I cannot find an option similar to the magnification factor in the existing node HOT 3
- It is best to get a matching set of inversion noise that cannot be used by others, Or give an example of inverting noise with a custom node HOT 3
- Tiled VAE RuntimeError: Expected all tensors to be on the same device, but found at least two devices, cuda:0 and cpu! HOT 1
- dont work anymore HOT 5
- Incompatible with new RefCN functionality in ComfyUI-Advanced-ControlNet
- Something wrong with my Ksampler. HOT 4
- Control Net and Tiled Diffusion Error HOT 2
- ControlNet Inpaint (And other) + Tiled Diffusion Error HOT 3
- warning control could not be applied torch.Size([6, 320, 24, 24]) torch.Size([6, 320, 48, 48])
- Bug when using with controlnet HOT 15
- Cannot use both example
- LatentUpscale error for workflow with ipadapter, I don't know if it's tiled diffusion or the ipadapter generating the error, please help! HOT 1
- Tile controlnet uses the conditioning from the previous generation with TiledDiffusion HOT 8
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