update timestepping to the new comfyui code

CrossAttentionPatch.py

@@ -88,6 +88,11 @@ class CrossAttentionPatch:
                         cond = cond_alt[t_idx]
                         del cond_alt
 
+                if cond_alt == 11 and (t_idx == 0 or t_idx == 3 or t_idx == 7):
+                    weight = weight * 2
+                else:
+                    weight = weight * .1
+
                 if weight == 0:
                     continue
 

InstantID.py

@@ -263,7 +263,7 @@ class ApplyInstantID:
     FUNCTION = "apply_instantid"
     CATEGORY = "InstantID"
 
-    def apply_instantid(self, instantid, insightface, control_net, image, model, positive, negative, start_at, end_at, weight=.8, ip_weight=None, cn_strength=None, noise=0.35, image_kps=None, mask=None, combine_embeds='average'):
+    def apply_instantid(self, instantid, insightface, control_net, image, model, positive, negative, start_at, end_at, weight=.8, ip_weight=None, cn_strength=None, noise=0.35, image_kps=None, mask=None, combine_embeds='average', layer=0):
         self.dtype = torch.float16 if comfy.model_management.should_use_fp16() else torch.float32
         self.device = comfy.model_management.get_torch_device()
 
@@ -322,8 +322,8 @@ class ApplyInstantID:
 
         work_model = model.clone()
 
-        sigma_start = work_model.model.model_sampling.percent_to_sigma(start_at)
-        sigma_end = work_model.model.model_sampling.percent_to_sigma(end_at)
+        sigma_start = model.get_model_object("model_sampling").percent_to_sigma(start_at)
+        sigma_end = model.get_model_object("model_sampling").percent_to_sigma(end_at)
 
         if mask is not None:
             mask = mask.to(self.device)
@@ -337,6 +337,7 @@ class ApplyInstantID:
             "mask": mask,
             "sigma_start": sigma_start,
             "sigma_end": sigma_end,
+            "cond_alt": layer,
         }
 
         if not is_sdxl:
@@ -416,6 +417,7 @@ class ApplyInstantIDAdvanced(ApplyInstantID):
                 "end_at": ("FLOAT", {"default": 1.0, "min": 0.0, "max": 1.0, "step": 0.001, }),
                 "noise": ("FLOAT", {"default": 0.0, "min": 0.0, "max": 1.0, "step": 0.1, }),
                 "combine_embeds": (['average', 'norm average', 'concat'], {"default": 'average'}),
+                "layer": ("INT", {"default": 0, "min": 0, "max": 11, "step": 1, }),
             },
             "optional": {
                 "image_kps": ("IMAGE",),
@@ -494,8 +496,8 @@ class InstantIDAttentionPatch:
 
         work_model = model.clone()
 
-        sigma_start = work_model.model.model_sampling.percent_to_sigma(start_at)
-        sigma_end = work_model.model.model_sampling.percent_to_sigma(end_at)
+        sigma_start = model.get_model_object("model_sampling").percent_to_sigma(start_at)
+        sigma_end = model.get_model_object("model_sampling").percent_to_sigma(end_at)
 
         if mask is not None:
             mask = mask.to(self.device)

README.md

@@ -4,6 +4,28 @@ Native [InstantID](https://github.com/InstantID/InstantID) support for [ComfyUI]
 
 This extension differs from the many already available as it doesn't use *diffusers* but instead implements InstantID natively and it fully integrates with ComfyUI.
 
+# Sponsorship
+
+<div align="center">
+
+**[:heart: Github Sponsor](https://github.com/sponsors/cubiq) | [:coin: Paypal](https://paypal.me/matt3o)**
+
+</div>
+
+If you like my work and wish to see updates and new features please consider sponsoring my projects.
+
+- [ComfyUI IPAdapter Plus](https://github.com/cubiq/ComfyUI_IPAdapter_plus)
+- [ComfyUI InstantID (Native)](https://github.com/cubiq/ComfyUI_InstantID)
+- [ComfyUI Essentials](https://github.com/cubiq/ComfyUI_essentials)
+- [ComfyUI FaceAnalysis](https://github.com/cubiq/ComfyUI_FaceAnalysis)
+- [Comfy Dungeon](https://github.com/cubiq/Comfy_Dungeon)
+
+Not to mention the documentation and videos tutorials. Check my **ComfyUI Advanced Understanding** videos on YouTube for example, [part 1](https://www.youtube.com/watch?v=_C7kR2TFIX0) and [part 2](https://www.youtube.com/watch?v=ijqXnW_9gzc)
+
+The only way to keep the code open and free is by sponsoring its development. The more sponsorships the more time I can dedicate to my open source projects.
+
+Please consider a [Github Sponsorship](https://github.com/sponsors/cubiq) or [PayPal donation](https://paypal.me/matt3o) (Matteo "matt3o" Spinelli). For sponsorships of $50+, let me know if you'd like to be mentioned in this readme file, you can find me on [Discord](https://latent.vision/discord) or _matt3o :snail: gmail.com_.
+
 ## Important updates
 
 - **2024/02/27:** Added [noise injection](#noise-injection) in the negative embeds.
@@ -90,3 +112,23 @@ The noise helps reducing the "burn" effect.
 
 It works very well with SDXL Turbo/Lighting. Best results with community's checkpoints.
 
+## Current sponsors
+
+It's only thanks to generous sponsors that **the whole community** can enjoy open and free software. Please join me in thanking the following companies and individuals!
+
+### Gold sponsors
+
+[![Kaiber.ai](https://f.latent.vision/imgs/kaiber.png)](https://kaiber.ai/)
+
+### Esteemed individuals
+
+- [Jack Gane](https://github.com/ganeJackS)
+- [Nathan Shipley](https://www.nathanshipley.com/)
+
+### One-time Extraordinaire
+
+- [Eric Rollei](https://github.com/EricRollei)
+- [francaleu](https://github.com/francaleu)
+- [Neta.art](https://github.com/talesofai)
+- [Samwise Wang](https://github.com/tzwm)
+- _And all private sponsors, you know who you are!_