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[Bug]: Black images in "Input Image" mode only, Intel Arc A770 #3719

Open
4 of 5 tasks
AndrewRainfall opened this issue Nov 1, 2024 · 0 comments
Open
4 of 5 tasks

[Bug]: Black images in "Input Image" mode only, Intel Arc A770 #3719

AndrewRainfall opened this issue Nov 1, 2024 · 0 comments
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bug Something isn't working triage This needs an (initial) review

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@AndrewRainfall
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Checklist

  • The issue has not been resolved by following the troubleshooting guide
  • The issue exists on a clean installation of Fooocus
  • The issue exists in the current version of Fooocus
  • The issue has not been reported before recently
  • The issue has been reported before but has not been fixed yet

What happened?

I get black images only in "Input Image", default image generation mode works fine.

I never used Fooocus before, so I try to use "Input Image" like img2img from the standard SD.

Fresh Install of Fooocus 2.5.5, followed all stuff for Intel GPUs

Steps to reproduce the problem

I put 1920x1080 image and try to re-generate it with new prompt and Vary (Subtle).

What should have happened?

I expect to get a new slightly enhanced version of my 1920x1080 image with the same resolution , like img2img with denoising 0.4.

But I get only black 1920x1080 images . How to fix this?

What browsers do you use to access Fooocus?

No response

Where are you running Fooocus?

Locally

What operating system are you using?

No response

Console logs

D:\Fooocus_win64_2-5-0>.\python_embeded\python.exe -s Fooocus\entry_with_update.py --preset realistic --unet-in-bf16 --vae-in-bf16 --clip-in-fp16 --disable-offload-from-vram
Already up-to-date
Update succeeded.
[System ARGV] ['Fooocus\\entry_with_update.py', '--preset', 'realistic', '--unet-in-bf16', '--vae-in-bf16', '--clip-in-fp16', '--disable-offload-from-vram']
Python 3.10.9 (tags/v3.10.9:1dd9be6, Dec  6 2022, 20:01:21) [MSC v.1934 64 bit (AMD64)]
Fooocus version: 2.5.5
Loaded preset: D:\Fooocus_win64_2-5-0\Fooocus\presets\realistic.json
Failed to load config key: {"default_aspect_ratio": "1408\u00d7704"} is invalid; will use {"default_aspect_ratio": "1152*896"} instead.
[Cleanup] Attempting to delete content of temp dir C:\Users\Rain\AppData\Local\Temp\fooocus
[Cleanup] Cleanup successful
D:\Fooocus_win64_2-5-0\python_embeded\lib\site-packages\torchvision\io\image.py:13: UserWarning: Failed to load image Python extension: ''If you don't plan on using image functionality from `torchvision.io`, you can ignore this warning. Otherwise, there might be something wrong with your environment. Did you have `libjpeg` or `libpng` installed before building `torchvision` from source?
  warn(
Total VRAM 15915 MB, total RAM 32718 MB
Set vram state to: NORMAL_VRAM
Device: xpu
VAE dtype: torch.bfloat16
Using pytorch cross attention
Refiner unloaded.
Running on local URL:  http://127.0.0.1:7865

To create a public link, set `share=True` in `launch()`.
model_type EPS
UNet ADM Dimension 2816
IMPORTANT: You are using gradio version 3.41.2, however version 4.44.1 is available, please upgrade.
--------
Using pytorch attention in VAE
Working with z of shape (1, 4, 32, 32) = 4096 dimensions.
Using pytorch attention in VAE
2024-11-01 23:21:54,574 - httpx - INFO - HTTP Request: POST http://127.0.0.1:7865/api/predict "HTTP/1.1 200 OK"
2024-11-01 23:21:54,588 - httpx - INFO - HTTP Request: POST http://127.0.0.1:7865/reset "HTTP/1.1 200 OK"
extra {'cond_stage_model.clip_l.logit_scale', 'cond_stage_model.clip_l.text_projection'}
left over keys: dict_keys(['cond_stage_model.clip_l.transformer.text_model.embeddings.position_ids'])
Base model loaded: D:\Fooocus_win64_2-5-0\Fooocus\models\checkpoints\realisticStockPhoto_v20.safetensors
VAE loaded: None
Request to load LoRAs [('SDXL_FILM_PHOTOGRAPHY_STYLE_V1.safetensors', 0.25)] for model [D:\Fooocus_win64_2-5-0\Fooocus\models\checkpoints\realisticStockPhoto_v20.safetensors].
Loaded LoRA [D:\Fooocus_win64_2-5-0\Fooocus\models\loras\SDXL_FILM_PHOTOGRAPHY_STYLE_V1.safetensors] for UNet [D:\Fooocus_win64_2-5-0\Fooocus\models\checkpoints\realisticStockPhoto_v20.safetensors] with 722 keys at weight 0.25.
Loaded LoRA [D:\Fooocus_win64_2-5-0\Fooocus\models\loras\SDXL_FILM_PHOTOGRAPHY_STYLE_V1.safetensors] for CLIP [D:\Fooocus_win64_2-5-0\Fooocus\models\checkpoints\realisticStockPhoto_v20.safetensors] with 264 keys at weight 0.25.
Fooocus V2 Expansion: Vocab with 642 words.
D:\Fooocus_win64_2-5-0\python_embeded\lib\site-packages\torch\_utils.py:831: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
  return self.fget.__get__(instance, owner)()
Fooocus Expansion engine loaded for cpu, use_fp16 = False.
Requested to load SDXLClipModel
Requested to load GPT2LMHeadModel
Loading 2 new models
D:\Fooocus_win64_2-5-0\python_embeded\lib\site-packages\intel_extension_for_pytorch\frontend.py:465: UserWarning: Conv BatchNorm folding failed during the optimize process.
  warnings.warn(
D:\Fooocus_win64_2-5-0\python_embeded\lib\site-packages\intel_extension_for_pytorch\frontend.py:472: UserWarning: Linear BatchNorm folding failed during the optimize process.
  warnings.warn(
[Fooocus Model Management] Moving model(s) has taken 3.74 seconds
Started worker with PID 4732
App started successful. Use the app with http://127.0.0.1:7865/ or 127.0.0.1:7865
2024-11-01 23:22:03,538 - httpx - INFO - HTTP Request: POST http://127.0.0.1:7865/api/predict "HTTP/1.1 200 OK"
2024-11-01 23:22:03,542 - httpx - INFO - HTTP Request: POST http://127.0.0.1:7865/reset "HTTP/1.1 200 OK"
2024-11-01 23:22:36,259 - httpx - INFO - HTTP Request: POST http://127.0.0.1:7865/api/predict "HTTP/1.1 200 OK"
2024-11-01 23:22:36,266 - httpx - INFO - HTTP Request: POST http://127.0.0.1:7865/reset "HTTP/1.1 200 OK"
2024-11-01 23:22:36,352 - httpx - INFO - HTTP Request: POST http://127.0.0.1:7865/api/predict "HTTP/1.1 200 OK"
2024-11-01 23:22:36,359 - httpx - INFO - HTTP Request: POST http://127.0.0.1:7865/reset "HTTP/1.1 200 OK"
2024-11-01 23:22:36,590 - httpx - INFO - HTTP Request: POST http://127.0.0.1:7865/api/predict "HTTP/1.1 200 OK"
2024-11-01 23:22:36,595 - httpx - INFO - HTTP Request: POST http://127.0.0.1:7865/reset "HTTP/1.1 200 OK"
2024-11-01 23:22:36,654 - httpx - INFO - HTTP Request: POST http://127.0.0.1:7865/api/predict "HTTP/1.1 200 OK"
[Parameters] Adaptive CFG = 7
[Parameters] CLIP Skip = 2
[Parameters] Sharpness = 7
[Parameters] ControlNet Softness = 0.25
[Parameters] ADM Scale = 1.5 : 0.8 : 0.3
[Parameters] Seed = 1228380689844441399
[Parameters] CFG = 5
[Fooocus] Loading control models ...
[Parameters] Sampler = dpmpp_2m_sde_gpu - karras
[Parameters] Steps = 60 - 30
[Fooocus] Initializing ...
[Fooocus] Loading models ...
Refiner unloaded.
[Fooocus] Processing prompts ...
[Fooocus] Preparing Fooocus text #1 ...
2024-11-01 23:22:36,743 - httpx - INFO - HTTP Request: POST http://127.0.0.1:7865/api/predict "HTTP/1.1 200 OK"
D:\Fooocus_win64_2-5-0\python_embeded\lib\site-packages\transformers\modeling_utils.py:4565: FutureWarning: `_is_quantized_training_enabled` is going to be deprecated in transformers 4.39.0. Please use `model.hf_quantizer.is_trainable` instead
  warnings.warn(
D:\Fooocus_win64_2-5-0\python_embeded\lib\site-packages\intel_extension_for_pytorch\cpu\graph_capture.py:107: UserWarning: Both JIT and TorchDynamo failed, fallback to original model.
  warnings.warn(
[Prompt Expansion] snowmobile, intricate, elegant, highly detailed, wonderful colors, sharp focus, beautiful, dynamic light, vivid, expressive atmosphere, cinematic, new, creative, perfect, attractive, colorful, cute, surreal, ambient background, best, novel, romantic, dramatic, stunning, magic, pure, fine detail, very inspirational, color, artistic, positive, vibrant, loving
[Fooocus] Preparing Fooocus text #2 ...
2024-11-01 23:22:40,447 - httpx - INFO - HTTP Request: POST http://127.0.0.1:7865/api/predict "HTTP/1.1 200 OK"
[Prompt Expansion] snowmobile, intricate, highly detailed, dramatic, sharp focus, perfect composition, elegant, incredible quality, very inspirational, innocent, creative, positive, cute, beautiful, aesthetic, fine, artistic, pure, rational, shiny, glowing, rich deep background, epic fantastic, thought, pristine, complex, amazing, brilliant, focused, enormous elaborate, bright, awesome
[Fooocus] Encoding positive #1 ...
2024-11-01 23:22:43,234 - httpx - INFO - HTTP Request: POST http://127.0.0.1:7865/api/predict "HTTP/1.1 200 OK"
[Fooocus] Encoding positive #2 ...
2024-11-01 23:22:46,251 - httpx - INFO - HTTP Request: POST http://127.0.0.1:7865/api/predict "HTTP/1.1 200 OK"
[Fooocus] Encoding negative #1 ...
2024-11-01 23:22:47,696 - httpx - INFO - HTTP Request: POST http://127.0.0.1:7865/api/predict "HTTP/1.1 200 OK"
[Fooocus] Encoding negative #2 ...
[Fooocus] Image processing ...
[Fooocus] VAE encoding ...
Requested to load AutoencoderKL
Loading 1 new model
2024-11-01 23:22:55,278 - httpx - INFO - HTTP Request: POST http://127.0.0.1:7865/api/predict "HTTP/1.1 200 OK"
D:\Fooocus_win64_2-5-0\python_embeded\lib\site-packages\torch\overrides.py:110: UserWarning: 'has_cuda' is deprecated, please use 'torch.backends.cuda.is_built()'
  torch.has_cuda,
D:\Fooocus_win64_2-5-0\python_embeded\lib\site-packages\torch\overrides.py:111: UserWarning: 'has_cudnn' is deprecated, please use 'torch.backends.cudnn.is_available()'
  torch.has_cudnn,
D:\Fooocus_win64_2-5-0\python_embeded\lib\site-packages\torch\overrides.py:117: UserWarning: 'has_mps' is deprecated, please use 'torch.backends.mps.is_built()'
  torch.has_mps,
D:\Fooocus_win64_2-5-0\python_embeded\lib\site-packages\torch\overrides.py:118: UserWarning: 'has_mkldnn' is deprecated, please use 'torch.backends.mkldnn.is_available()'
  torch.has_mkldnn,
D:\Fooocus_win64_2-5-0\python_embeded\lib\site-packages\intel_extension_for_pytorch\frontend.py:465: UserWarning: Conv BatchNorm folding failed during the optimize process.
  warnings.warn(
D:\Fooocus_win64_2-5-0\python_embeded\lib\site-packages\intel_extension_for_pytorch\frontend.py:472: UserWarning: Linear BatchNorm folding failed during the optimize process.
  warnings.warn(
[Fooocus Model Management] Moving model(s) has taken 0.46 seconds
Final resolution is (1920, 1080).
[Parameters] Denoising Strength = 0.5
[Parameters] Initial Latent shape: torch.Size([1, 4, 135, 240])
Preparation time: 28.24 seconds
Using karras scheduler.
[Fooocus] Preparing task 1/2 ...
[Sampler] refiner_swap_method = joint
[Sampler] sigma_min = 0.0291671771556139, sigma_max = 1.2431749105453491
2024-11-01 23:23:04,940 - httpx - INFO - HTTP Request: POST http://127.0.0.1:7865/api/predict "HTTP/1.1 200 OK"
Requested to load SDXL
Loading 1 new model
[Fooocus Model Management] Moving model(s) has taken 3.91 seconds
  0%|                                                                                           | 0/60 [00:00<?, ?it/s]D:\Fooocus_win64_2-5-0\Fooocus\modules\core.py:257: RuntimeWarning: invalid value encountered in cast
  x_sample = x_sample.cpu().numpy().clip(0, 255).astype(np.uint8)
2024-11-01 23:23:23,648 - httpx - INFO - HTTP Request: POST http://127.0.0.1:7865/api/predict "HTTP/1.1 200 OK"
  2%|█▍                                                                                 | 1/60 [00:13<13:14, 13.46s/it]2024-11-01 23:23:28,735 - httpx - INFO - HTTP Request: POST http://127.0.0.1:7865/api/predict "HTTP/1.1 200 OK"
  3%|██▊                                                                                | 2/60 [00:18<08:01,  8.31s/it]2024-11-01 23:23:32,878 - httpx - INFO - HTTP Request: POST http://127.0.0.1:7865/api/predict "HTTP/1.1 200 OK"
  5%|████▏                                                                              | 3/60 [00:22<06:05,  6.41s/it]2024-11-01 23:23:36,312 - httpx - INFO - HTTP Request: POST http://127.0.0.1:7865/api/predict "HTTP/1.1 200 OK"
  7%|█████▌                                                                             | 4/60 [00:25<04:53,  5.24s/it]2024-11-01 23:23:39,536 - httpx - INFO - HTTP Request: POST http://127.0.0.1:7865/api/predict "HTTP/1.1 200 OK"
  8%|██████▉                                                                            | 5/60 [00:28<04:08,  4.51s/it]2024-11-01 23:23:42,562 - httpx - INFO - HTTP Request: POST http://127.0.0.1:7865/api/predict "HTTP/1.1 200 OK"
 10%|████████▎                                                                          | 6/60 [00:32<03:36,  4.00s/it]2024-11-01 23:23:45,479 - httpx - INFO - HTTP Request: POST http://127.0.0.1:7865/api/predict "HTTP/1.1 200 OK"
 12%|█████████▋                                                                         | 7/60 [00:34<03:13,  3.65s/it]2024-11-01 23:23:48,401 - httpx - INFO - HTTP Request: POST http://127.0.0.1:7865/api/predict "HTTP/1.1 200 OK"
 13%|███████████                                                                        | 8/60 [00:37<02:57,  3.42s/it]2024-11-01 23:23:51,255 - httpx - INFO - HTTP Request: POST http://127.0.0.1:7865/api/predict "HTTP/1.1 200 OK"
 15%|████████████▍                                                                      | 9/60 [00:40<02:45,  3.24s/it]2024-11-01 23:23:54,019 - httpx - INFO - HTTP Request: POST http://127.0.0.1:7865/api/predict "HTTP/1.1 200 OK"
 17%|█████████████▋                                                                    | 10/60 [00:43<02:34,  3.10s/it]2024-11-01 23:23:56,816 - httpx - INFO - HTTP Request: POST http://127.0.0.1:7865/api/predict "HTTP/1.1 200 OK"
 18%|███████████████                                                                   | 11/60 [00:46<02:27,  3.00s/it]2024-11-01 23:23:59,609 - httpx - INFO - HTTP Request: POST http://127.0.0.1:7865/api/predict "HTTP/1.1 200 OK"
 20%|████████████████▍                                                                 | 12/60 [00:49<02:20,  2.94s/it]2024-11-01 23:24:02,348 - httpx - INFO - HTTP Request: POST http://127.0.0.1:7865/api/predict "HTTP/1.1 200 OK"
 22%|█████████████████▊                                                                | 13/60 [00:51<02:15,  2.88s/it]2024-11-01 23:24:05,087 - httpx - INFO - HTTP Request: POST http://127.0.0.1:7865/api/predict "HTTP/1.1 200 OK"
 23%|███████████████████▏                                                              | 14/60 [00:54<02:10,  2.84s/it]2024-11-01 23:24:07,845 - httpx - INFO - HTTP Request: POST http://127.0.0.1:7865/api/predict "HTTP/1.1 200 OK"
 25%|████████████████████▌                                                             | 15/60 [00:57<02:06,  2.81s/it]2024-11-01 23:24:10,610 - httpx - INFO - HTTP Request: POST http://127.0.0.1:7865/api/predict "HTTP/1.1 200 OK"
 27%|█████████████████████▊                                                            | 16/60 [01:00<02:03,  2.80s/it]2024-11-01 23:24:13,326 - httpx - INFO - HTTP Request: POST http://127.0.0.1:7865/api/predict "HTTP/1.1 200 OK"
 28%|███████████████████████▏                                                          | 17/60 [01:02<01:59,  2.77s/it]2024-11-01 23:24:16,064 - httpx - INFO - HTTP Request: POST http://127.0.0.1:7865/api/predict "HTTP/1.1 200 OK"
 30%|████████████████████████▌                                                         | 18/60 [01:05<01:56,  2.76s/it]2024-11-01 23:24:18,811 - httpx - INFO - HTTP Request: POST http://127.0.0.1:7865/api/predict "HTTP/1.1 200 OK"
 32%|█████████████████████████▉                                                        | 19/60 [01:08<01:53,  2.76s/it]2024-11-01 23:24:21,540 - httpx - INFO - HTTP Request: POST http://127.0.0.1:7865/api/predict "HTTP/1.1 200 OK"
 33%|███████████████████████████▎                                                      | 20/60 [01:10<01:49,  2.75s/it]2024-11-01 23:24:24,221 - httpx - INFO - HTTP Request: POST http://127.0.0.1:7865/api/predict "HTTP/1.1 200 OK"
 35%|████████████████████████████▋                                                     | 21/60 [01:13<01:46,  2.73s/it]2024-11-01 23:24:26,961 - httpx - INFO - HTTP Request: POST http://127.0.0.1:7865/api/predict "HTTP/1.1 200 OK"
 37%|██████████████████████████████                                                    | 22/60 [01:16<01:43,  2.73s/it]2024-11-01 23:24:29,676 - httpx - INFO - HTTP Request: POST http://127.0.0.1:7865/api/predict "HTTP/1.1 200 OK"
 38%|███████████████████████████████▍                                                  | 23/60 [01:19<01:40,  2.73s/it]2024-11-01 23:24:32,409 - httpx - INFO - HTTP Request: POST http://127.0.0.1:7865/api/predict "HTTP/1.1 200 OK"
 40%|████████████████████████████████▊                                                 | 24/60 [01:21<01:38,  2.73s/it]2024-11-01 23:24:35,121 - httpx - INFO - HTTP Request: POST http://127.0.0.1:7865/api/predict "HTTP/1.1 200 OK"
 42%|██████████████████████████████████▏                                               | 25/60 [01:24<01:35,  2.72s/it]2024-11-01 23:24:37,871 - httpx - INFO - HTTP Request: POST http://127.0.0.1:7865/api/predict "HTTP/1.1 200 OK"
 43%|███████████████████████████████████▌                                              | 26/60 [01:27<01:32,  2.73s/it]2024-11-01 23:24:40,704 - httpx - INFO - HTTP Request: POST http://127.0.0.1:7865/api/predict "HTTP/1.1 200 OK"
 45%|████████████████████████████████████▉                                             | 27/60 [01:30<01:31,  2.77s/it]2024-11-01 23:24:43,473 - httpx - INFO - HTTP Request: POST http://127.0.0.1:7865/api/predict "HTTP/1.1 200 OK"
 47%|██████████████████████████████████████▎                                           | 28/60 [01:32<01:28,  2.76s/it]2024-11-01 23:24:46,206 - httpx - INFO - HTTP Request: POST http://127.0.0.1:7865/api/predict "HTTP/1.1 200 OK"
 48%|███████████████████████████████████████▋                                          | 29/60 [01:35<01:25,  2.75s/it]2024-11-01 23:24:48,943 - httpx - INFO - HTTP Request: POST http://127.0.0.1:7865/api/predict "HTTP/1.1 200 OK"
 50%|█████████████████████████████████████████                                         | 30/60 [01:38<01:22,  2.75s/it]2024-11-01 23:24:51,690 - httpx - INFO - HTTP Request: POST http://127.0.0.1:7865/api/predict "HTTP/1.1 200 OK"
 52%|██████████████████████████████████████████▎                                       | 31/60 [01:41<01:19,  2.75s/it]2024-11-01 23:24:54,397 - httpx - INFO - HTTP Request: POST http://127.0.0.1:7865/api/predict "HTTP/1.1 200 OK"
 53%|███████████████████████████████████████████▋                                      | 32/60 [01:43<01:16,  2.74s/it]2024-11-01 23:24:57,112 - httpx - INFO - HTTP Request: POST http://127.0.0.1:7865/api/predict "HTTP/1.1 200 OK"
 55%|█████████████████████████████████████████████                                     | 33/60 [01:46<01:13,  2.73s/it]2024-11-01 23:24:59,824 - httpx - INFO - HTTP Request: POST http://127.0.0.1:7865/api/predict "HTTP/1.1 200 OK"
 57%|██████████████████████████████████████████████▍                                   | 34/60 [01:49<01:10,  2.72s/it]2024-11-01 23:25:02,554 - httpx - INFO - HTTP Request: POST http://127.0.0.1:7865/api/predict "HTTP/1.1 200 OK"
 58%|███████████████████████████████████████████████▊                                  | 35/60 [01:51<01:08,  2.73s/it]2024-11-01 23:25:05,283 - httpx - INFO - HTTP Request: POST http://127.0.0.1:7865/api/predict "HTTP/1.1 200 OK"
 60%|█████████████████████████████████████████████████▏                                | 36/60 [01:54<01:05,  2.73s/it]2024-11-01 23:25:08,014 - httpx - INFO - HTTP Request: POST http://127.0.0.1:7865/api/predict "HTTP/1.1 200 OK"
 62%|██████████████████████████████████████████████████▌                               | 37/60 [01:57<01:02,  2.73s/it]2024-11-01 23:25:10,780 - httpx - INFO - HTTP Request: POST http://127.0.0.1:7865/api/predict "HTTP/1.1 200 OK"
 63%|███████████████████████████████████████████████████▉                              | 38/60 [02:00<01:00,  2.74s/it]2024-11-01 23:25:13,745 - httpx - INFO - HTTP Request: POST http://127.0.0.1:7865/api/predict "HTTP/1.1 200 OK"
 65%|█████████████████████████████████████████████████████▎                            | 39/60 [02:03<00:59,  2.82s/it]2024-11-01 23:25:16,572 - httpx - INFO - HTTP Request: POST http://127.0.0.1:7865/api/predict "HTTP/1.1 200 OK"
 67%|██████████████████████████████████████████████████████▋                           | 40/60 [02:06<00:56,  2.81s/it]2024-11-01 23:25:19,289 - httpx - INFO - HTTP Request: POST http://127.0.0.1:7865/api/predict "HTTP/1.1 200 OK"
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Requested to load AutoencoderKL
Loading 1 new model
2024-11-01 23:26:11,313 - httpx - INFO - HTTP Request: POST http://127.0.0.1:7865/api/predict "HTTP/1.1 200 OK"
[Fooocus Model Management] Moving model(s) has taken 0.55 seconds
D:\Fooocus_win64_2-5-0\Fooocus\modules\core.py:331: RuntimeWarning: invalid value encountered in cast
  return [np.clip(255. * y.cpu().numpy(), 0, 255).astype(np.uint8) for y in x]
[Fooocus] Saving image 1/2 to system ...
2024-11-01 23:26:14,333 - httpx - INFO - HTTP Request: POST http://127.0.0.1:7865/api/predict "HTTP/1.1 200 OK"
Image generated with private log at: D:\Fooocus_win64_2-5-0\Fooocus\outputs\2024-11-01\log.html
Generating and saving time: 191.21 seconds
[Fooocus] Preparing task 2/2 ...
[Sampler] refiner_swap_method = joint
[Sampler] sigma_min = 0.0291671771556139, sigma_max = 1.2431749105453491
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2024-11-01 23:26:16,157 - httpx - INFO - HTTP Request: POST http://127.0.0.1:7865/api/predict "HTTP/1.1 200 OK"
[Fooocus Model Management] Moving model(s) has taken 0.50 seconds
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 93%|████████████████████████████████████████████████████████████████████████████▌     | 56/60 [04:19<00:17,  4.49s/it]2024-11-01 23:30:40,610 - httpx - INFO - HTTP Request: POST http://127.0.0.1:7865/api/predict "HTTP/1.1 200 OK"
 95%|█████████████████████████████████████████████████████████████████████████████▉    | 57/60 [04:23<00:13,  4.50s/it]2024-11-01 23:30:45,082 - httpx - INFO - HTTP Request: POST http://127.0.0.1:7865/api/predict "HTTP/1.1 200 OK"
 98%|████████████████████████████████████████████████████████████████████████████████▋ | 59/60 [04:32<00:04,  4.48s/it]2024-11-01 23:30:49,563 - httpx - INFO - HTTP Request: POST http://127.0.0.1:7865/api/predict "HTTP/1.1 200 OK"
100%|██████████████████████████████████████████████████████████████████████████████████| 60/60 [04:37<00:00,  4.62s/it]
Requested to load AutoencoderKL
Loading 1 new model
2024-11-01 23:30:54,287 - httpx - INFO - HTTP Request: POST http://127.0.0.1:7865/api/predict "HTTP/1.1 200 OK"
[Fooocus Model Management] Moving model(s) has taken 0.73 seconds
[Fooocus] Saving image 2/2 to system ...
2024-11-01 23:30:55,846 - httpx - INFO - HTTP Request: POST http://127.0.0.1:7865/api/predict "HTTP/1.1 200 OK"
Image generated with private log at: D:\Fooocus_win64_2-5-0\Fooocus\outputs\2024-11-01\log.html
Generating and saving time: 281.42 seconds
[Enhance] Skipping, preconditions aren't met
Processing time (total): 472.63 seconds
2024-11-01 23:30:57,548 - httpx - INFO - HTTP Request: POST http://127.0.0.1:7865/api/predict "HTTP/1.1 200 OK"
2024-11-01 23:30:57,578 - httpx - INFO - HTTP Request: POST http://127.0.0.1:7865/api/predict "HTTP/1.1 200 OK"
Total time: 500.93 seconds
2024-11-01 23:30:57,583 - httpx - INFO - HTTP Request: POST http://127.0.0.1:7865/api/predict "HTTP/1.1 200 OK"
2024-11-01 23:30:57,587 - httpx - INFO - HTTP Request: POST http://127.0.0.1:7865/reset "HTTP/1.1 200 OK"
2024-11-01 23:30:57,693 - httpx - INFO - HTTP Request: POST http://127.0.0.1:7865/api/predict "HTTP/1.1 200 OK"
2024-11-01 23:30:57,700 - httpx - INFO - HTTP Request: POST http://127.0.0.1:7865/reset "HTTP/1.1 200 OK"
2024-11-01 23:30:57,808 - httpx - INFO - HTTP Request: POST http://127.0.0.1:7865/api/predict "HTTP/1.1 200 OK"
2024-11-01 23:30:57,815 - httpx - INFO - HTTP Request: POST http://127.0.0.1:7865/reset "HTTP/1.1 200 OK"
2024-11-01 23:30:57,899 - httpx - INFO - HTTP Request: POST http://127.0.0.1:7865/api/predict "HTTP/1.1 200 OK"
2024-11-01 23:30:57,904 - httpx - INFO - HTTP Request: POST http://127.0.0.1:7865/reset "HTTP/1.1 200 OK"
2024-11-01 23:30:57,964 - httpx - INFO - HTTP Request: POST http://127.0.0.1:7865/api/predict "HTTP/1.1 200 OK"
2024-11-01 23:30:57,969 - httpx - INFO - HTTP Request: POST http://127.0.0.1:7865/reset "HTTP/1.1 200 OK"

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@AndrewRainfall AndrewRainfall added bug Something isn't working triage This needs an (initial) review labels Nov 1, 2024
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