[BUG] Black image. (FLUX)

[ZeroCool22]

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-297-g5fb67f49
Commit hash: 5fb67f49e8552c1e4e40feafd92cad9aca5c92c2
Launching Web UI with arguments: --forge-ref-a1111-home C:/Users/ZeroCool22/Desktop/AutoSDXL/stable-diffusion-webui/ --ckpt-dir F:/Stable-diffusion/ --vae-dir 'C:\Users\ZeroCool22\Desktop\AutoSDXL\stable-diffusion-webui\models\VAE' --hypernetwork-dir /models/hypernetworks --embeddings-dir /embeddings --lora-dir C:/Users/ZeroCool22/Desktop/AutoSDXL/stable-diffusion-webui/models/Lora --controlnet-dir 'C:\Users\ZeroCool22\Desktop\AutoSDXL\stable-diffusion-webui\models\ControlNet' --controlnet-preprocessor-models-dir 'C:\Users\ZeroCool22\Desktop\AutoSDXL\stable-diffusion-webui\extensions\sd-webui-controlnet\annotator\downloads'
Total VRAM 11264 MB, total RAM 32680 MB
pytorch version: 2.3.1+cu121
Set vram state to: NORMAL_VRAM
Device: cuda:0 NVIDIA GeForce GTX 1080 Ti : native
VAE dtype preferences: [torch.float32] -> torch.float32
CUDA Using Stream: False
C:\Users\ZeroCool22\Desktop\webui_forge\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: C:\Users\ZeroCool22\Desktop\AutoSDXL\stable-diffusion-webui\extensions\sd-webui-controlnet\annotator\downloads
2024-08-15 13:20:20,828 - ControlNet - INFO - ControlNet UI callback registered.
Model selected: {'checkpoint_info': {'filename': 'C:\\Users\\ZeroCool22\\Desktop\\webui_forge\\webui\\models\\Stable-diffusion\\realisticVisionV51_v51VAE.safetensors', 'hash': 'a0f13c83'}, 'additional_modules': [], '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: 18.0s (prepare environment: 3.2s, launcher: 2.4s, import torch: 5.2s, initialize shared: 0.2s, other imports: 1.3s, list SD models: 0.6s, load scripts: 1.8s, create ui: 2.0s, gradio launch: 1.3s).
Environment vars changed: {'stream': False, 'inference_memory': 1024.0, 'pin_shared_memory': False}
Model selected: {'checkpoint_info': {'filename': 'C:\\Users\\ZeroCool22\\Desktop\\webui_forge\\webui\\models\\Stable-diffusion\\realisticVisionV51_v51VAE.safetensors', 'hash': 'a0f13c83'}, 'additional_modules': ['C:\\Users\\ZeroCool22\\Desktop\\webui_forge\\webui\\models\\text_encoder\\t5xxl_fp8_e4m3fn.safetensors'], 'unet_storage_dtype': None}
Model selected: {'checkpoint_info': {'filename': 'F:\\Stable-diffusion\\FLUX\\flux1-dev-Q4_0.gguf', 'hash': '3f6d9145'}, 'additional_modules': ['C:\\Users\\ZeroCool22\\Desktop\\webui_forge\\webui\\models\\text_encoder\\t5xxl_fp8_e4m3fn.safetensors'], 'unet_storage_dtype': None}
Loading Model: {'checkpoint_info': {'filename': 'F:\\Stable-diffusion\\FLUX\\flux1-dev-Q4_0.gguf', 'hash': '3f6d9145'}, 'additional_modules': ['C:\\Users\\ZeroCool22\\Desktop\\webui_forge\\webui\\models\\text_encoder\\t5xxl_fp8_e4m3fn.safetensors'], 'unet_storage_dtype': None}
StateDict Keys: {'transformer': 780, 'vae': 0, 'text_encoder_2': 220, 'ignore': 0}
Traceback (most recent call last):
  File "C:\Users\ZeroCool22\Desktop\webui_forge\webui\modules_forge\main_thread.py", line 30, in work
    self.result = self.func(*self.args, **self.kwargs)
  File "C:\Users\ZeroCool22\Desktop\webui_forge\webui\modules\txt2img.py", line 110, in txt2img_function
    processed = processing.process_images(p)
  File "C:\Users\ZeroCool22\Desktop\webui_forge\webui\modules\processing.py", line 789, in process_images
    p.sd_model, just_reloaded = forge_model_reload()
  File "C:\Users\ZeroCool22\Desktop\webui_forge\system\python\lib\site-packages\torch\utils\_contextlib.py", line 115, in decorate_context
    return func(*args, **kwargs)
  File "C:\Users\ZeroCool22\Desktop\webui_forge\webui\modules\sd_models.py", line 501, in forge_model_reload
    sd_model = forge_loader(state_dict, additional_state_dicts=additional_state_dicts)
  File "C:\Users\ZeroCool22\Desktop\webui_forge\system\python\lib\site-packages\torch\utils\_contextlib.py", line 115, in decorate_context
    return func(*args, **kwargs)
  File "C:\Users\ZeroCool22\Desktop\webui_forge\webui\backend\loader.py", line 261, in forge_loader
    component = load_huggingface_component(estimated_config, component_name, lib_name, cls_name, local_path, component_sd)
  File "C:\Users\ZeroCool22\Desktop\webui_forge\webui\backend\loader.py", line 59, in load_huggingface_component
    assert isinstance(state_dict, dict) and len(state_dict) > 16, 'You do not have CLIP state dict!'
AssertionError: You do not have CLIP state dict!
You do not have CLIP state dict!
Model selected: {'checkpoint_info': {'filename': 'F:\\Stable-diffusion\\FLUX\\flux1-dev-Q4_0.gguf', 'hash': '3f6d9145'}, 'additional_modules': ['C:\\Users\\ZeroCool22\\Desktop\\webui_forge\\webui\\models\\text_encoder\\t5xxl_fp8_e4m3fn.safetensors', 'C:\\Users\\ZeroCool22\\Desktop\\webui_forge\\webui\\models\\text_encoder\\clip_l.safetensors'], 'unet_storage_dtype': None}
Model selected: {'checkpoint_info': {'filename': 'F:\\Stable-diffusion\\FLUX\\flux1-dev-Q4_0.gguf', 'hash': '3f6d9145'}, 'additional_modules': ['C:\\Users\\ZeroCool22\\Desktop\\webui_forge\\webui\\models\\text_encoder\\t5xxl_fp8_e4m3fn.safetensors', 'C:\\Users\\ZeroCool22\\Desktop\\webui_forge\\webui\\models\\text_encoder\\clip_l.safetensors', 'C:\\Users\\ZeroCool22\\Desktop\\webui_forge\\webui\\models\\VAE\\diffusion_pytorch_model.safetensors'], 'unet_storage_dtype': None}
Loading Model: {'checkpoint_info': {'filename': 'F:\\Stable-diffusion\\FLUX\\flux1-dev-Q4_0.gguf', 'hash': '3f6d9145'}, 'additional_modules': ['C:\\Users\\ZeroCool22\\Desktop\\webui_forge\\webui\\models\\text_encoder\\t5xxl_fp8_e4m3fn.safetensors', 'C:\\Users\\ZeroCool22\\Desktop\\webui_forge\\webui\\models\\text_encoder\\clip_l.safetensors', 'C:\\Users\\ZeroCool22\\Desktop\\webui_forge\\webui\\models\\VAE\\diffusion_pytorch_model.safetensors'], 'unet_storage_dtype': None}
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.float16}
Calculating sha256 for F:\Stable-diffusion\FLUX\flux1-dev-Q4_0.gguf: e9c9d702d0ef5edfef9c20918a1477099d4168186ab8fc005f3aa3a743c3d483
Model loaded in 12.4s (forge model load: 12.4s).
Skipping unconditional conditioning when CFG = 1. Negative Prompts are ignored.
To load target model JointTextEncoder
Begin to load 1 model
[Memory Management] Current Free GPU Memory: 9810.00 MB
[Memory Management] Required Model Memory: 5153.49 MB
[Memory Management] Required Inference Memory: 1024.00 MB
[Memory Management] Estimated Remaining GPU Memory: 3632.51 MB
LoRA patching has taken 36.70 seconds
Moving model(s) has taken 36.72 seconds
Distilled CFG Scale: 3.5
To load target model KModel
Begin to load 1 model
[Memory Management] Current Free GPU Memory: 9710.04 MB
[Memory Management] Required Model Memory: 6476.55 MB
[Memory Management] Required Inference Memory: 1024.00 MB
[Memory Management] Estimated Remaining GPU Memory: 2209.49 MB
LoRA patching has taken 6.87 seconds
Moving model(s) has taken 10.95 seconds
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To load target model IntegratedAutoencoderKL███████████████████████████████████████████| 20/20 [05:04<00:00, 15.41s/it]
Begin to load 1 model
[Memory Management] Current Free GPU Memory: 9691.94 MB
[Memory Management] Required Model Memory: 319.75 MB
[Memory Management] Required Inference Memory: 1024.00 MB
[Memory Management] Estimated Remaining GPU Memory: 8348.19 MB
LoRA patching has taken 0.12 seconds
Moving model(s) has taken 2.47 seconds
C:\Users\ZeroCool22\Desktop\webui_forge\webui\modules\processing.py:1003: RuntimeWarning: invalid value encountered in cast
  x_sample = x_sample.astype(np.uint8)
Total progress: 100%|██████████████████████████████████████████████████████████████████| 20/20 [05:09<00:00, 15.49s/it]
Total progress: 100%|██████████████████████████████████████████████████████████████████| 20/20 [05:09<00:00, 15.41s/it]

[ZeroCool22]

[ZeroCool22]

[IsaiChristian]

I'm having the same issue, if I change the vae from full to TAESD it will finish but the image wont be in the correct resolution

[xldistance]

Sampling method set to Euler. Schedule type is set to Beta, and the image can be generated normally.

[IsaiChristian]

Sampling method set to Euler. Schedule type is set to Beta, and the image can be generated normally.

Tried this, it didnt work :(, livepreview works until the last moment.

Memory Management] Required Inference Memory: 1024.00 MB [Memory Management] Estimated Remaining GPU Memory: 7789.07 MB Moving model(s) has taken 2.46 seconds C:\Users\n3utr\Downloads\webui_forge_cu121_torch231\webui\modules\processing.py:1003: RuntimeWarning: invalid value encountered in cast x_sample = x_sample.astype(np.uint8)

[xldistance]

@IsaiChristian You are missing the [ae.safetensors],https://huggingface.co/black-forest-labs/FLUX.1-dev/tree/main

[IsaiChristian]

@IsaiChristian You are missing the [ae.safetensors],https://huggingface.co/black-forest-labs/FLUX.1-dev/tree/main

You were totally right, thanks!

[ZeroCool22]

@IsaiChristian You are missing the [ae.safetensors],https://huggingface.co/black-forest-labs/FLUX.1-dev/tree/main

It must be inside text_encoder or VAE folder?

[IsaiChristian]

@IsaiChristian You are missing the [ae.safetensors],https://huggingface.co/black-forest-labs/FLUX.1-dev/tree/main

It must be inside text_encoder or VAE folder?

VAE

[ZeroCool22]

@IsaiChristian You are missing the [ae.safetensors],https://huggingface.co/black-forest-labs/FLUX.1-dev/tree/main

It must be inside text_encoder or VAE folder?

VAE

Thx.

[qw381523977]

Why can't I?

[xldistance]

@qw381523977 Recommend you download the bnb-nf4-v2 model so that you don't have to load the vae model additionally

[qw381523977]

@qw381523977 Recommend you download the bnb-nf4-v2 model so that you don't have to load the vae model additionally

Yes, this version of flux does work out of the box

[ZeroCool22]

@qw381523977 Recommend you download the bnb-nf4-v2 model so that you don't have to load the vae model additionally

Excuse me, so with that model, we don't need to use this?:

[qw381523977]

@qw381523977 Recommend you download the bnb-nf4-v2 model so that you don't have to load the vae model additionally

Excuse me, so with that model, we don't need to use this?:

Yes, they are all integrated into the BNB-NF4-V2 model

[ViratX]

@qw381523977 Recommend you download the bnb-nf4-v2 model so that you don't have to load the vae model additionally

Excuse me, so with that model, we don't need to use this?:

Yes, they are all integrated into the BNB-NF4-V2 model

Can confirm, BNB-NF4-V2 generates images without additional models required.

[vehanlankaja]

i have both the vae and everthing set up, the image is shown generating in live but then it turns up black.

[IsaiChristian]

for me it will only works using the fp16, Im using dev...

[FastAndreiiii]

I don't even know what I did wrong, I'm new to the flux,pls help