Comfy-Org / Comfy-Org/ComfyUI

Image Generation Issue: Generated Images Became Abnormal Texture

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Description

### Your question

**Description:**
After updating my Mac system to Sonoma 14, I encountered a problem with ComfyUI. Regardless of the parameters, sampler, and scheduler combinations I use, the generated images always have a strange texture, as shown below:
![image](https://github.com/user-attachments/assets/40335df5-4e33-4a6f-9409-5537e5233617)

**Steps to Reproduce:**
1. Open ComfyUI.
2. Select any model and VAE.
3. Try different sampler and scheduler combinations.
4. Set different parameters (e.g., steps, prompts, etc.).
5. Generate the image.

**Expected Result:**
The generated images should match the prompt description without any abnormal texture.

**Actual Result:**
The generated images always have a strange texture.
![image](https://github.com/user-attachments/assets/ebc3999d-bd4e-49bd-91cc-ba35f5d0fb0b)
![image](https://github.com/user-attachments/assets/69094b97-b255-4eb0-8f99-81567197163c)

**Workflow File:**
To demonstrate the issue, I used the most basic text-to-image workflow. The workflow file is attached to this issue.
[test.json](https://github.com/user-attachments/files/16471813/test.json)

**System Information:**
- Operating System Version: macOS Sonoma 14 (Tried both 14.5 and 14.6)
- ComfyUI Version: [v0.0.3](Which I believe is the latest)
- Model and VAE Version: anyloraCheckpoint_bakedvaeBlessedFp16.safetensors (and many others)
- Prompt :
> p: anime style, young girl, surprised expression, black jacket, white T-shirt, red pencil, classroom setting, school environment, bookshelves, other students, natural lighting, bright colors, high detail, expressive face, smooth shading, (masterpiece: 2), best quality, ultra highres, original, extremely detailed, perfect lighting
> n: blurry, illustration, toy, clay, low quality, flag, nasa, mission patch
- KSampler Info:
截屏2024-08-02 下午10 40 19

**Console Output:**
```shell
myhomefolder@MacBook-Pro ~ % python3.11 /Applications/ComfyUI-master/main.py
Total VRAM 16384 MB, total RAM 16384 MB
pytorch version: 2.3.1
Set vram state to: SHARED
Device: mps
Using sub quadratic optimization for cross attention, if you have memory or speed issues try using: --use-split-cross-attention
****** User settings have been changed to be stored on the server instead of browser storage. ******
****** For multi-user setups add the --multi-user CLI argument to enable multiple user profiles. ******
[Prompt Server] web root: /Applications/ComfyUI-master/web

Import times for custom nodes:
0.0 seconds: /Applications/ComfyUI-master/custom_nodes/websocket_image_save.py

Starting server

To see the GUI go to: http://127.0.0.1:8188
got prompt
model_type EPS
Using split attention in VAE
Using split attention in VAE
Requested to load SD1ClipModel
Loading 1 new model
Requested to load BaseModel
Loading 1 new model
100%|███████████████████████████████████████████| 25/25 [00:23<00:00, 1.08it/s]
Requested to load AutoencoderKL
Loading 1 new model
Prompt executed in 29.97 seconds
got prompt
model_type EPS
Using split attention in VAE
Using split attention in VAE
Requested to load SD1ClipModel
Loading 1 new model
Requested to load BaseModel
Loading 1 new model
100%|███████████████████████████████████████████| 25/25 [00:17<00:00, 1.40it/s]
Requested to load AutoencoderKL
Loading 1 new model
Prompt executed in 22.26 seconds
got prompt
model_type EPS
Using split attention in VAE
Using split attention in VAE
Requested to load SD1ClipModel
Loading 1 new model
Requested to load BaseModel
Loading 1 new model
100%|███████████████████████████████████████████| 25/25 [00:18<00:00, 1.38it/s]
Requested to load AutoencoderKL
Loading 1 new model
Prompt executed in 23.47 seconds

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### Other

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