mirrors/ComfyUI
1
0
Fork 0
mirror of https://github.com/comfyanonymous/ComfyUI.git synced 2025-09-11 03:58:22 +00:00
Code Issues Packages Projects Releases Wiki Activity

Implement Differential Diffusion (#2876)

Browse Source 
* Implement Differential Diffusion

* Cleanup.

* Fix.

* Masks should be applied at full strength.

* Fix colors.

* Register the node.

* Cleaner code.

* Fix issue with getting unipc sampler.

* Adjust thresholds.

* Switch to linear thresholds.

* Only calculate nearest_idx on valid thresholds.
This commit is contained in:
Shiimizu
2024-03-03 12:34:13 -08:00
committed by GitHub
parent 1abf8374ec
commit 727021bdea
3 changed files with 100 additions and 0 deletions
Download Patch File Download Diff File Expand all files Collapse all files

2
comfy/samplers.py
View File

@@ -277,6 +277,8 @@ class KSamplerX0Inpaint(torch.nn.Module):
self.inner_model = model
def forward(self, x, sigma, uncond, cond, cond_scale, denoise_mask, model_options={}, seed=None):
if denoise_mask is not None:
if "denoise_mask_function" in model_options:
denoise_mask = model_options["denoise_mask_function"](sigma, denoise_mask)
latent_mask = 1. - denoise_mask
x = x * denoise_mask + self.inner_model.inner_model.model_sampling.noise_scaling(sigma.reshape([sigma.shape[0]] + [1] * (len(self.noise.shape) - 1)), self.noise, self.latent_image) * latent_mask
out = self.inner_model(x, sigma, cond=cond, uncond=uncond, cond_scale=cond_scale, model_options=model_options, seed=seed)