Got black image after flux generation with the following runtime warning: RuntimeWarning: invalid value encountered in cast x_sample = x_sample.astype(np.uint8)

Python 3.10.6 (tags/v3.10.6:9c7b4bd, Aug 1 2022, 21:53:49) [MSC v.1932 64 bit (AMD64)]
Version: f2.0.1v1.10.1-previous-335-g4751d664
Commit hash: 4751d6646d3889c4f0acb24d3b5a868a8208fb3a
Launching Web UI with arguments:
Total VRAM 8192 MB, total RAM 32473 MB
pytorch version: 2.4.0+cu124
Set vram state to: NORMAL_VRAM
Device: cuda:0 NVIDIA GeForce RTX 3070 Ti Laptop GPU : native
Hint: your device supports --cuda-malloc for potential speed improvements.
VAE dtype preferences: [torch.bfloat16, torch.float32] -> torch.bfloat16
CUDA Using Stream: False
D:\webui_forge_cu124_torch24\system\python\lib\site-packages\transformers\utils\hub.py:127: FutureWarning: Using TRANSFORMERS_CACHE is deprecated and will be removed in v5 of Transformers. Use HF_HOME instead.
warnings.warn(
Using pytorch cross attention
Using pytorch attention for VAE
ControlNet preprocessor location: D:\webui_forge_cu124_torch24\webui\models\ControlNetPreprocessor
2024-08-19 00:32:32,568 - ControlNet - INFO - ControlNet UI callback registered.
Model selected: {'checkpoint_info': {'filename': 'D:\webui_forge_cu124_torch24\webui\models\Stable-diffusion\flux1-dev-Q4_0.gguf', 'hash': '3f6d9145'}, 'additional_modules': ['D:\webui_forge_cu124_torch24\webui\models\text_encoder\clip_l.safetensors', 'D:\webui_forge_cu124_torch24\webui\models\text_encoder\t5xxl_fp8_e4m3fn.safetensors'], 'unet_storage_dtype': None}
Running on local URL: http://127.0.0.1:7860

To create a public link, set share=True in launch().
Startup time: 15.1s (prepare environment: 2.8s, import torch: 5.4s, initialize shared: 0.1s, other imports: 0.6s, load scripts: 1.3s, create ui: 3.1s, gradio launch: 1.7s).
Environment vars changed: {'stream': False, 'inference_memory': 1024.0, 'pin_shared_memory': False}
Environment vars changed: {'stream': False, 'inference_memory': 1024.0, 'pin_shared_memory': False}
Model selected: {'checkpoint_info': {'filename': 'D:\webui_forge_cu124_torch24\webui\models\Stable-diffusion\flux1-dev-Q4_0.gguf', 'hash': '3f6d9145'}, 'additional_modules': ['D:\webui_forge_cu124_torch24\webui\models\text_encoder\clip_l.safetensors', 'D:\webui_forge_cu124_torch24\webui\models\text_encoder\t5xxl_fp8_e4m3fn.safetensors', 'D:\webui_forge_cu124_torch24\webui\models\VAE\flux_vae.safetensors'], 'unet_storage_dtype': None}
Environment vars changed: {'stream': False, 'inference_memory': 1024.0, 'pin_shared_memory': True}
Environment vars changed: {'stream': True, 'inference_memory': 1024.0, 'pin_shared_memory': True}
Deleting file D:\webui_forge_cu124_torch24\webui\outputs\txt2img-images\2024-08-19\00000-916056781.png
Loading Model: {'checkpoint_info': {'filename': 'D:\webui_forge_cu124_torch24\webui\models\Stable-diffusion\flux1-dev-Q4_0.gguf', 'hash': '3f6d9145'}, 'additional_modules': ['D:\webui_forge_cu124_torch24\webui\models\text_encoder\clip_l.safetensors', 'D:\webui_forge_cu124_torch24\webui\models\text_encoder\t5xxl_fp8_e4m3fn.safetensors', 'D:\webui_forge_cu124_torch24\webui\models\VAE\flux_vae.safetensors'], 'unet_storage_dtype': None}
[Unload] Trying to free 953674316406250018963456.00 MB for cuda:0 with 0 models keep loaded ...
StateDict Keys: {'transformer': 780, 'vae': 244, 'text_encoder': 196, 'text_encoder_2': 220, 'ignore': 0}
Using Detected T5 Data Type: torch.float8_e4m3fn
Using Detected UNet Type: gguf
Using pre-quant state dict!
Using GGUF state dict: {'F16': 476, 'Q4_0': 304}
Working with z of shape (1, 16, 32, 32) = 16384 dimensions.
IntegratedAutoencoderKL Missing: ['encoder.down.0.block.0.norm1.weight', 'encoder.down.0.block.0.norm1.bias', 'encoder.down.0.block.0.conv1.weight', 'encoder.down.0.block.0.conv1.bias', 'encoder.down.0.block.0.norm2.weight', 'encoder.down.0.block.0.norm2.bias', 'encoder.down.0.block.0.conv2.weight', 'encoder.down.0.block.0.conv2.bias', 'encoder.down.0.block.1.norm1.weight', 'encoder.down.0.block.1.norm1.bias', 'encoder.down.0.block.1.conv1.weight', 'encoder.down.0.block.1.conv1.bias', 'encoder.down.0.block.1.norm2.weight', 'encoder.down.0.block.1.norm2.bias', 'encoder.down.0.block.1.conv2.weight', 'encoder.down.0.block.1.conv2.bias', 'encoder.down.0.downsample.conv.weight', 'encoder.down.0.downsample.conv.bias', 'encoder.down.1.block.0.norm1.weight', 'encoder.down.1.block.0.norm1.bias', 'encoder.down.1.block.0.conv1.weight', 'encoder.down.1.block.0.conv1.bias', 'encoder.down.1.block.0.norm2.weight', 'encoder.down.1.block.0.norm2.bias', 'encoder.down.1.block.0.conv2.weight', 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IntegratedAutoencoderKL Unexpected: ['encoder.conv_norm_out.bias', 'encoder.conv_norm_out.weight', 'encoder.down_blocks.0.downsamplers.0.conv.bias', 'encoder.down_blocks.0.downsamplers.0.conv.weight', 'encoder.down_blocks.0.resnets.0.conv1.bias', 'encoder.down_blocks.0.resnets.0.conv1.weight', 'encoder.down_blocks.0.resnets.0.conv2.bias', 'encoder.down_blocks.0.resnets.0.conv2.weight', 'encoder.down_blocks.0.resnets.0.norm1.bias', 'encoder.down_blocks.0.resnets.0.norm1.weight', 'encoder.down_blocks.0.resnets.0.norm2.bias', 'encoder.down_blocks.0.resnets.0.norm2.weight', 'encoder.down_blocks.0.resnets.1.conv1.bias', 'encoder.down_blocks.0.resnets.1.conv1.weight', 'encoder.down_blocks.0.resnets.1.conv2.bias', 'encoder.down_blocks.0.resnets.1.conv2.weight', 'encoder.down_blocks.0.resnets.1.norm1.bias', 'encoder.down_blocks.0.resnets.1.norm1.weight', 'encoder.down_blocks.0.resnets.1.norm2.bias', 'encoder.down_blocks.0.resnets.1.norm2.weight', 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K-Model Created: {'storage_dtype': 'gguf', 'computation_dtype': torch.bfloat16}
Model loaded in 8.3s (unload existing model: 0.2s, forge model load: 8.1s).
Skipping unconditional conditioning when CFG = 1. Negative Prompts are ignored.
To load target model JointTextEncoder
Begin to load 1 model
[Unload] Trying to free 7723.54 MB for cuda:0 with 0 models keep loaded ...
[Memory Management] Current Free GPU Memory: 7088.00 MB
[Memory Management] Required Model Memory: 5153.49 MB
[Memory Management] Required Inference Memory: 1024.00 MB
[Memory Management] Estimated Remaining GPU Memory: 910.51 MB
Moving model(s) has taken 3.87 seconds
Distilled CFG Scale: 3.5
To load target model KModel
Begin to load 1 model
[Unload] Trying to free 9730.23 MB for cuda:0 with 0 models keep loaded ...
[Unload] Current free memory is 2800.03 MB ...
[Unload] Unload model JointTextEncoder
[Memory Management] Current Free GPU Memory: 6554.64 MB
[Memory Management] Required Model Memory: 6476.55 MB
[Memory Management] Required Inference Memory: 1024.00 MB
[Memory Management] Estimated Remaining GPU Memory: -945.91 MB
[Memory Management] Loaded to Shared Swap: 2224.86 MB (asynchronous method)
[Memory Management] Loaded to GPU: 4251.61 MB
Moving model(s) has taken 4.69 seconds
100%|██████████████████████████████████████████████████████████████████████████████████| 20/20 [01:14<00:00, 3.71s/it]
To load target model IntegratedAutoencoderKL███████████████████████████████████████████| 20/20 [01:10<00:00, 3.67s/it]
Begin to load 1 model
[Unload] Trying to free 4563.84 MB for cuda:0 with 0 models keep loaded ...
[Unload] Current free memory is 2630.60 MB ...
[Unload] Unload model KModel
[Memory Management] Current Free GPU Memory: 7008.52 MB
[Memory Management] Required Model Memory: 159.87 MB
[Memory Management] Required Inference Memory: 1024.00 MB
[Memory Management] Estimated Remaining GPU Memory: 5824.64 MB
Moving model(s) has taken 5.81 seconds
D:\webui_forge_cu124_torch24\webui\modules\processing.py:1007: RuntimeWarning: invalid value encountered in cast
x_sample = x_sample.astype(np.uint8)
Total progress: 100%|██████████████████████████████████████████████████████████████████| 20/20 [01:17<00:00, 3.85s/it]
Total progress: 100%|██████████████████████████████████████████████████████████████████| 20/20 [01:17<00:00, 3.67s/it]

Start by reproducing the reported FLUX generation on the listed Python, PyTorch, CUDA, GGUF, and VAE setup, then trace the image conversion at x_sample.astype(np.uint8). Compare the values reaching that conversion with a successful generation and determine what condition produces the black image. Done means the warning and black output are resolved or the required incompatible model/runtime combination is clearly identified.