v2.5.2

[mashb1t]

What's Changed

• fix: add positive prompt if styles don't have a prompt placeholder by @mashb1t in fix: add positive prompt if styles don't have a prompt placeholder #3372
• docs: update numbering of basic debug procedure in issue template by @mashb1t in docs: update numbering of basic debug procedure in issue template #3376
• feat: extend config settings for input image by @mashb1t in feat: extend config settings for image input #3382
• feat: count image count index from 1 by @mashb1t in feat: count image count index from 1 #3383

Full Changelog: v2.5.1...v2.5.2

---

This discussion was created from the release v2.5.2.

[mashb1t]

Example of additional config values:

"default_image_prompt_checkbox": true,
"default_enhance_checkbox": false,
"default_advanced_checkbox": true,
"default_developer_debug_mode_checkbox": true,
"default_image_prompt_advanced_checkbox": true,
"default_inpaint_advanced_masking_checkbox": true,
"default_invert_mask_checkbox": true,
"default_uov_method": "Vary (Subtle)",
"default_ip_image_1": "C:\\Fooocus\\Fooocus\\outputs\\2024-07-27\\2024-07-27_23-28-48_9394.png",
"default_ip_type_1": "FaceSwap",
"default_ip_weight_1": 0.1,
"default_ip_stop_at_2": 0.3,
"default_selected_image_input_tab_id": "ip_tab"

[p1agnut]

Nice, long awaited!
"default_developer_debug_mode_checkbox": true,

… will completely altruistically suggest adding 'Aspect Ratios dropdown always unfolded' as well.

[lijun0872]

A problem occurred today. How should I solve it?

E:\Fooocus>.\python_embeded\python.exe -s Fooocus\entry_with_update.py --language zh --theme dark
Update failed.
failed to send request: 操作超时

Update succeeded.
[System ARGV] ['Fooocus\entry_with_update.py', '--language', 'zh', '--theme', 'dark']
Python 3.10.9 (tags/v3.10.9:1dd9be6, Dec 6 2022, 20:01:21) [MSC v.1934 64 bit (AMD64)]
Fooocus version: 2.5.2
Version mismatch for torchsde: Installed version 0.2.5 does not meet requirement torchsde==0.2.6
Installing requirements
Couldn't install requirements.
Command: "E:\Fooocus\python_embeded\python.exe" -m pip install -r "requirements_versions.txt" --prefer-binary
Error code: 1
stdout: Looking in indexes: https://pypi.tuna.tsinghua.edu.cn/simple
Collecting torchsde==0.2.6 (from -r requirements_versions.txt (line 1))
Using cached https://pypi.tuna.tsinghua.edu.cn/packages/dd/1f/b67ebd7e19ffe259f05d3cf4547326725c3113d640c277030be3e9998d6f/torchsde-0.2.6-py3-none-any.whl (61 kB)
Collecting einops==0.8.0 (from -r requirements_versions.txt (line 2))
Using cached https://pypi.tuna.tsinghua.edu.cn/packages/44/5a/f0b9ad6c0a9017e62d4735daaeb11ba3b6c009d69a26141b258cd37b5588/einops-0.8.0-py3-none-any.whl (43 kB)
Collecting transformers==4.42.4 (from -r requirements_versions.txt (line 3))
Using cached https://pypi.tuna.tsinghua.edu.cn/packages/6a/dc/23c26b7b0bce5aaccf2b767db3e9c4f5ae4331bd47688c1f2ef091b23696/transformers-4.42.4-py3-none-any.whl (9.3 MB)
Collecting safetensors==0.4.3 (from -r requirements_versions.txt (line 4))
Using cached https://pypi.tuna.tsinghua.edu.cn/packages/28/78/82c03572b085b658d24a13ae0ae4779c0712a167af6c313d39ee5b5e7f73/safetensors-0.4.3-cp310-none-win_amd64.whl (287 kB)
Collecting accelerate==0.32.1 (from -r requirements_versions.txt (line 5))
Using cached https://pypi.tuna.tsinghua.edu.cn/packages/e4/74/564f621699b049b0358f7ad83d7437f8219a5d6efb69bbfcca328b60152f/accelerate-0.32.1-py3-none-any.whl (314 kB)
Collecting pyyaml==6.0.1 (from -r requirements_versions.txt (line 6))
Using cached https://pypi.tuna.tsinghua.edu.cn/packages/24/97/9b59b43431f98d01806b288532da38099cc6f2fea0f3d712e21e269c0279/PyYAML-6.0.1-cp310-cp310-win_amd64.whl (145 kB)
Collecting pillow==10.4.0 (from -r requirements_versions.txt (line 7))
Using cached https://pypi.tuna.tsinghua.edu.cn/packages/f4/72/0203e94a91ddb4a9d5238434ae6c1ca10e610e8487036132ea9bf806ca2a/pillow-10.4.0-cp310-cp310-win_amd64.whl (2.6 MB)
Collecting scipy==1.14.0 (from -r requirements_versions.txt (line 8))
Using cached https://pypi.tuna.tsinghua.edu.cn/packages/a3/0c/82c1330c08f31d61142d38cb9a185e01c2403c990d10dab208032e62d0fa/scipy-1.14.0-cp310-cp310-win_amd64.whl (44.8 MB)
Collecting tqdm==4.66.4 (from -r requirements_versions.txt (line 9))
Using cached https://pypi.tuna.tsinghua.edu.cn/packages/18/eb/fdb7eb9e48b7b02554e1664afd3bd3f117f6b6d6c5881438a0b055554f9b/tqdm-4.66.4-py3-none-any.whl (78 kB)
Collecting psutil==6.0.0 (from -r requirements_versions.txt (line 10))
Using cached https://pypi.tuna.tsinghua.edu.cn/packages/73/44/561092313ae925f3acfaace6f9ddc4f6a9c748704317bad9c8c8f8a36a79/psutil-6.0.0-cp37-abi3-win_amd64.whl (257 kB)
Collecting pytorch_lightning==2.3.3 (from -r requirements_versions.txt (line 11))
Using cached https://pypi.tuna.tsinghua.edu.cn/packages/cf/1c/6122684e93864c09cf8010e27ad82b3b2f4864bd6864a40cb9e040752277/pytorch_lightning-2.3.3-py3-none-any.whl (812 kB)
Collecting omegaconf==2.3.0 (from -r requirements_versions.txt (line 12))
Using cached https://pypi.tuna.tsinghua.edu.cn/packages/e3/94/1843518e420fa3ed6919835845df698c7e27e183cb997394e4a670973a65/omegaconf-2.3.0-py3-none-any.whl (79 kB)
Requirement already satisfied: gradio==3.41.2 in e:\fooocus\python_embeded\lib\site-packages (from -r requirements_versions.txt (line 13)) (3.41.2)
Collecting pygit2==1.15.1 (from -r requirements_versions.txt (line 14))
Using cached https://pypi.tuna.tsinghua.edu.cn/packages/16/27/0310ab41371bb64e149e50d954aa089b140f269159d4d6ed34c83e4be7f2/pygit2-1.15.1-cp310-cp310-win_amd64.whl (1.3 MB)
Collecting opencv-contrib-python-headless==4.10.0.84 (from -r requirements_versions.txt (line 15))
Using cached https://pypi.tuna.tsinghua.edu.cn/packages/01/d4/dacf890940cb22279e1513b7ea41d97825a723153a5efce68bc52e7b3b6e/opencv_contrib_python_headless-4.10.0.84-cp37-abi3-win_amd64.whl (45.4 MB)
Collecting httpx==0.27.0 (from -r requirements_versions.txt (line 16))
Using cached https://pypi.tuna.tsinghua.edu.cn/packages/41/7b/ddacf6dcebb42466abd03f368782142baa82e08fc0c1f8eaa05b4bae87d5/httpx-0.27.0-py3-none-any.whl (75 kB)
Collecting onnxruntime==1.18.1 (from -r requirements_versions.txt (line 17))
Using cached https://pypi.tuna.tsinghua.edu.cn/packages/74/8e/0db236760a60ba59fac48e253c2c645bfd7d6ade58d4ce796b645d73e2de/onnxruntime-1.18.1-cp310-cp310-win_amd64.whl (5.6 MB)
Collecting timm==1.0.7 (from -r requirements_versions.txt (line 18))
Using cached https://pypi.tuna.tsinghua.edu.cn/packages/fe/85/834c70052b518bb8fca457d8ea4e60a65d9cc41f77fd409eeff3b3041638/timm-1.0.7-py3-none-any.whl (2.3 MB)
Collecting numpy==1.26.4 (from -r requirements_versions.txt (line 19))
Using cached https://pypi.tuna.tsinghua.edu.cn/packages/19/77/538f202862b9183f54108557bfda67e17603fc560c384559e769321c9d92/numpy-1.26.4-cp310-cp310-win_amd64.whl (15.8 MB)
Collecting tokenizers==0.19.1 (from -r requirements_versions.txt (line 20))
Using cached https://pypi.tuna.tsinghua.edu.cn/packages/f4/85/d999b9a05fd101d48f1a365d68be0b109277bb25c89fb37a389d669f9185/tokenizers-0.19.1-cp310-none-win_amd64.whl (2.2 MB)
Collecting packaging==24.1 (from -r requirements_versions.txt (line 21))
Using cached https://pypi.tuna.tsinghua.edu.cn/packages/08/aa/cc0199a5f0ad350994d660967a8efb233fe0416e4639146c089643407ce6/packaging-24.1-py3-none-any.whl (53 kB)
Collecting rembg==2.0.57 (from -r requirements_versions.txt (line 22))
Using cached https://pypi.tuna.tsinghua.edu.cn/packages/0c/29/74b542899b19d33761b5fbb6a625b3dcdfd946966f7615c8d80567d29d81/rembg-2.0.57-py3-none-any.whl (33 kB)
Collecting groundingdino-py==0.4.0 (from -r requirements_versions.txt (line 23))
Using cached https://pypi.tuna.tsinghua.edu.cn/packages/da/26/af35089119098ecd9d2e174b9cfbeb0c1246d65449c718b4e57328a08c1c/groundingdino-py-0.4.0.tar.gz (82 kB)
Preparing metadata (setup.py): started
Preparing metadata (setup.py): finished with status 'error'

stderr: error: subprocess-exited-with-error

python setup.py egg_info did not run successfully.
exit code: 1

[6 lines of output]
Traceback (most recent call last):
File "", line 2, in
File "", line 34, in
File "C:\Users\fhxy_\AppData\Local\Temp\pip-install-f1vezq4p\groundingdino-py_49b1b5f30a3c40b997fa553a58779ed2\setup.py", line 41, in
readme = readme_file.read()
UnicodeDecodeError: 'gbk' codec can't decode byte 0xa4 in position 2878: illegal multibyte sequence
[end of output]

note: This error originates from a subprocess, and is likely not a problem with pip.
error: metadata-generation-failed

Encountered error while generating package metadata.

See above for output.

note: This is an issue with the package mentioned above, not pip.
hint: See above for details.

CMD Failed requirements: install -r "requirements_versions.txt"
[Cleanup] Attempting to delete content of temp dir C:\Users\fhxy_\AppData\Local\Temp\fooocus
[Cleanup] Cleanup successful
Total VRAM 12287 MB, total RAM 16226 MB
Set vram state to: NORMAL_VRAM
Always offload VRAM
Device: cuda:0 NVIDIA GeForce RTX 3060 : native
VAE dtype: torch.bfloat16
Traceback (most recent call last):
File "E:\Fooocus\Fooocus\entry_with_update.py", line 46, in
from launch import *
File "E:\Fooocus\Fooocus\launch.py", line 147, in
from webui import *
File "E:\Fooocus\Fooocus\webui.py", line 10, in
import modules.async_worker as worker
File "E:\Fooocus\Fooocus\modules\async_worker.py", line 3, in
from extras.inpaint_mask import generate_mask_from_image, SAMOptions
File "E:\Fooocus\Fooocus\extras\inpaint_mask.py", line 6, in
from extras.GroundingDINO.util.inference import default_groundingdino
File "E:\Fooocus\Fooocus\extras\GroundingDINO\util\inference.py", line 9, in
import supervision as sv
ModuleNotFoundError: No module named 'supervision'

E:\Fooocus>pause
请按任意键继续. . .

[mashb1t]

see #3295 (comment)

[gautamshel]

I was getting the supervision module error "ModuleNotFoundError: No module named 'supervision'"
So I did a fresh install of the newer version now while generating the image failing with below exception, Please suggest

D:\Fooocus\Fooocus_win64_2-5-0>.\python_embeded\python.exe -s Fooocus\entry_with_update.py
Fast-forward merge
Update succeeded.
[System ARGV] ['Fooocus\entry_with_update.py']
Python 3.10.9 (tags/v3.10.9:1dd9be6, Dec 6 2022, 20:01:21) [MSC v.1934 64 bit (AMD64)]
Fooocus version: 2.5.2
Error checking version for opencv-contrib-python-headless: No package metadata was found for opencv-contrib-python-headless
Installing requirements
[Cleanup] Attempting to delete content of temp dir C:\Users\gauta\AppData\Local\Temp\fooocus
[Cleanup] Cleanup successful
Downloading: "https://huggingface.co/mashb1t/misc/resolve/main/xl-to-v1_interposer-v4.0.safetensors" to D:\Fooocus\Fooocus_win64_2-5-0\Fooocus\models\vae_approx\xl-to-v1_interposer-v4.0.safetensors

100%|██████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 5.40M/5.40M [00:02<00:00, 2.01MB/s]
Downloading: "https://huggingface.co/lllyasviel/fav_models/resolve/main/fav/juggernautXL_v8Rundiffusion.safetensors" to D:\Fooocus\Fooocus_win64_2-5-0\Fooocus\models\checkpoints\juggernautXL_v8Rundiffusion.safetensors

100%|██████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 6.62G/6.62G [21:16<00:00, 5.56MB/s]
Total VRAM 6144 MB, total RAM 16005 MB
Set vram state to: NORMAL_VRAM
Always offload VRAM
Device: cuda:0 NVIDIA GeForce RTX 3060 Laptop GPU : native
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 4.29.0 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
extra {'cond_stage_model.clip_l.text_projection', 'cond_stage_model.clip_l.logit_scale'}
left over keys: dict_keys(['cond_stage_model.clip_l.transformer.text_model.embeddings.position_ids'])
Base model loaded: D:\Fooocus\Fooocus_win64_2-5-0\Fooocus\models\checkpoints\juggernautXL_v8Rundiffusion.safetensors
VAE loaded: None
Request to load LoRAs [('sd_xl_offset_example-lora_1.0.safetensors', 0.1)] for model [D:\Fooocus\Fooocus_win64_2-5-0\Fooocus\models\checkpoints\juggernautXL_v8Rundiffusion.safetensors].
Loaded LoRA [D:\Fooocus\Fooocus_win64_2-5-0\Fooocus\models\loras\sd_xl_offset_example-lora_1.0.safetensors] for UNet [D:\Fooocus\Fooocus_win64_2-5-0\Fooocus\models\checkpoints\juggernautXL_v8Rundiffusion.safetensors] with 788 keys at weight 0.1.
Fooocus V2 Expansion: Vocab with 642 words.
D:\Fooocus\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 cuda:0, use_fp16 = True.
Requested to load SDXLClipModel
Requested to load GPT2LMHeadModel
Loading 2 new models
loading in lowvram mode 64.0
lowvram: loaded module regularly Embedding(50257, 768)
lowvram: loaded module regularly Embedding(1024, 768)
lowvram: loaded module regularly LayerNorm((768,), eps=1e-05, elementwise_affine=True)
lowvram: loaded module regularly Conv1D()
lowvram: loaded module regularly Conv1D()
lowvram: loaded module regularly LayerNorm((768,), eps=1e-05, elementwise_affine=True)
lowvram: loaded module regularly Conv1D()
lowvram: loaded module regularly Conv1D()
lowvram: loaded module regularly LayerNorm((768,), eps=1e-05, elementwise_affine=True)
lowvram: loaded module regularly Conv1D()
lowvram: loaded module regularly Conv1D()
lowvram: loaded module regularly LayerNorm((768,), eps=1e-05, elementwise_affine=True)
lowvram: loaded module regularly Conv1D()
lowvram: loaded module regularly Conv1D()
lowvram: loaded module regularly LayerNorm((768,), eps=1e-05, elementwise_affine=True)
lowvram: loaded module regularly Conv1D()
lowvram: loaded module regularly Conv1D()
lowvram: loaded module regularly LayerNorm((768,), eps=1e-05, elementwise_affine=True)
lowvram: loaded module regularly Conv1D()
lowvram: loaded module regularly Conv1D()
lowvram: loaded module regularly LayerNorm((768,), eps=1e-05, elementwise_affine=True)
lowvram: loaded module regularly Conv1D()
lowvram: loaded module regularly Conv1D()
lowvram: loaded module regularly LayerNorm((768,), eps=1e-05, elementwise_affine=True)
lowvram: loaded module regularly Conv1D()
lowvram: loaded module regularly Conv1D()
lowvram: loaded module regularly LayerNorm((768,), eps=1e-05, elementwise_affine=True)
lowvram: loaded module regularly Conv1D()
lowvram: loaded module regularly Conv1D()
lowvram: loaded module regularly LayerNorm((768,), eps=1e-05, elementwise_affine=True)
lowvram: loaded module regularly Conv1D()
lowvram: loaded module regularly Conv1D()
lowvram: loaded module regularly LayerNorm((768,), eps=1e-05, elementwise_affine=True)
lowvram: loaded module regularly Conv1D()
lowvram: loaded module regularly Conv1D()
lowvram: loaded module regularly LayerNorm((768,), eps=1e-05, elementwise_affine=True)
lowvram: loaded module regularly Conv1D()
lowvram: loaded module regularly Conv1D()
lowvram: loaded module regularly LayerNorm((768,), eps=1e-05, elementwise_affine=True)
lowvram: loaded module regularly Conv1D()
lowvram: loaded module regularly Conv1D()
lowvram: loaded module regularly LayerNorm((768,), eps=1e-05, elementwise_affine=True)
lowvram: loaded module regularly Conv1D()
lowvram: loaded module regularly Conv1D()
lowvram: loaded module regularly LayerNorm((768,), eps=1e-05, elementwise_affine=True)
lowvram: loaded module regularly Conv1D()
lowvram: loaded module regularly Conv1D()
lowvram: loaded module regularly LayerNorm((768,), eps=1e-05, elementwise_affine=True)
lowvram: loaded module regularly Conv1D()
lowvram: loaded module regularly Conv1D()
lowvram: loaded module regularly LayerNorm((768,), eps=1e-05, elementwise_affine=True)
lowvram: loaded module regularly Conv1D()
lowvram: loaded module regularly Conv1D()
lowvram: loaded module regularly LayerNorm((768,), eps=1e-05, elementwise_affine=True)
lowvram: loaded module regularly Conv1D()
lowvram: loaded module regularly Conv1D()
lowvram: loaded module regularly LayerNorm((768,), eps=1e-05, elementwise_affine=True)
lowvram: loaded module regularly Conv1D()
lowvram: loaded module regularly Conv1D()
lowvram: loaded module regularly LayerNorm((768,), eps=1e-05, elementwise_affine=True)
lowvram: loaded module regularly Conv1D()
lowvram: loaded module regularly Conv1D()
lowvram: loaded module regularly LayerNorm((768,), eps=1e-05, elementwise_affine=True)
lowvram: loaded module regularly Conv1D()
lowvram: loaded module regularly Conv1D()
lowvram: loaded module regularly LayerNorm((768,), eps=1e-05, elementwise_affine=True)
lowvram: loaded module regularly Conv1D()
lowvram: loaded module regularly Conv1D()
lowvram: loaded module regularly LayerNorm((768,), eps=1e-05, elementwise_affine=True)
lowvram: loaded module regularly Conv1D()
lowvram: loaded module regularly Conv1D()
lowvram: loaded module regularly LayerNorm((768,), eps=1e-05, elementwise_affine=True)
lowvram: loaded module regularly Conv1D()
lowvram: loaded module regularly Conv1D()
lowvram: loaded module regularly LayerNorm((768,), eps=1e-05, elementwise_affine=True)
lowvram: loaded module regularly Linear(in_features=768, out_features=50257, bias=False)
[Fooocus Model Management] Moving model(s) has taken 1.04 seconds
Started worker with PID 5388
App started successful. Use the app with http://127.0.0.1:7865/ or 127.0.0.1:7865
[Parameters] Adaptive CFG = 7
[Parameters] CLIP Skip = 2
[Parameters] Sharpness = 2
[Parameters] ControlNet Softness = 0.25
[Parameters] ADM Scale = 1.5 : 0.8 : 0.3
[Parameters] Seed = 7287948543368065771
[Parameters] CFG = 4
[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 ...
Fooocus Expansion loaded by itself.
[Fooocus Model Management] Moving model(s) has taken 0.69 seconds
Traceback (most recent call last):
File "D:\Fooocus\Fooocus_win64_2-5-0\Fooocus\modules\async_worker.py", line 1469, in worker
handler(task)
File "D:\Fooocus\Fooocus_win64_2-5-0\python_embeded\lib\site-packages\torch\utils_contextlib.py", line 115, in decorate_context
return func(*args, **kwargs)
File "D:\Fooocus\Fooocus_win64_2-5-0\python_embeded\lib\site-packages\torch\utils_contextlib.py", line 115, in decorate_context
return func(*args, **kwargs)
File "D:\Fooocus\Fooocus_win64_2-5-0\Fooocus\modules\async_worker.py", line 1160, in handler
tasks, use_expansion, loras, current_progress = process_prompt(async_task, async_task.prompt, async_task.negative_prompt,
File "D:\Fooocus\Fooocus_win64_2-5-0\Fooocus\modules\async_worker.py", line 738, in process_prompt
expansion = pipeline.final_expansion(t['task_prompt'], t['task_seed'])
File "D:\Fooocus\Fooocus_win64_2-5-0\python_embeded\lib\site-packages\torch\utils_contextlib.py", line 115, in decorate_context
return func(*args, **kwargs)
File "D:\Fooocus\Fooocus_win64_2-5-0\python_embeded\lib\site-packages\torch\utils_contextlib.py", line 115, in decorate_context
return func(*args, **kwargs)
File "D:\Fooocus\Fooocus_win64_2-5-0\Fooocus\extras\expansion.py", line 120, in call
features = self.model.generate(**tokenized_kwargs,
File "D:\Fooocus\Fooocus_win64_2-5-0\python_embeded\lib\site-packages\torch\utils_contextlib.py", line 115, in decorate_context
return func(*args, **kwargs)
File "D:\Fooocus\Fooocus_win64_2-5-0\python_embeded\lib\site-packages\transformers\generation\utils.py", line 1914, in generate
result = self._sample(
File "D:\Fooocus\Fooocus_win64_2-5-0\python_embeded\lib\site-packages\transformers\generation\utils.py", line 2651, in _sample
outputs = self(
File "D:\Fooocus\Fooocus_win64_2-5-0\python_embeded\lib\site-packages\torch\nn\modules\module.py", line 1518, in _wrapped_call_impl
return self._call_impl(*args, **kwargs)
File "D:\Fooocus\Fooocus_win64_2-5-0\python_embeded\lib\site-packages\torch\nn\modules\module.py", line 1527, in _call_impl
return forward_call(*args, **kwargs)
File "D:\Fooocus\Fooocus_win64_2-5-0\python_embeded\lib\site-packages\transformers\models\gpt2\modeling_gpt2.py", line 1421, in forward
transformer_outputs = self.transformer(
File "D:\Fooocus\Fooocus_win64_2-5-0\python_embeded\lib\site-packages\torch\nn\modules\module.py", line 1518, in _wrapped_call_impl
return self._call_impl(*args, **kwargs)
File "D:\Fooocus\Fooocus_win64_2-5-0\python_embeded\lib\site-packages\torch\nn\modules\module.py", line 1527, in _call_impl
return forward_call(*args, **kwargs)
File "D:\Fooocus\Fooocus_win64_2-5-0\python_embeded\lib\site-packages\transformers\models\gpt2\modeling_gpt2.py", line 1235, in forward
outputs = block(
File "D:\Fooocus\Fooocus_win64_2-5-0\python_embeded\lib\site-packages\torch\nn\modules\module.py", line 1518, in _wrapped_call_impl
return self._call_impl(*args, **kwargs)
File "D:\Fooocus\Fooocus_win64_2-5-0\python_embeded\lib\site-packages\torch\nn\modules\module.py", line 1527, in _call_impl
return forward_call(*args, **kwargs)
File "D:\Fooocus\Fooocus_win64_2-5-0\python_embeded\lib\site-packages\transformers\models\gpt2\modeling_gpt2.py", line 720, in forward
attn_outputs = self.attn(
File "D:\Fooocus\Fooocus_win64_2-5-0\python_embeded\lib\site-packages\torch\nn\modules\module.py", line 1518, in _wrapped_call_impl
return self._call_impl(*args, **kwargs)
File "D:\Fooocus\Fooocus_win64_2-5-0\python_embeded\lib\site-packages\torch\nn\modules\module.py", line 1527, in _call_impl
return forward_call(*args, **kwargs)
File "D:\Fooocus\Fooocus_win64_2-5-0\python_embeded\lib\site-packages\transformers\models\gpt2\modeling_gpt2.py", line 346, in forward
attn_output, attn_weights = self._attn(query, key, value, attention_mask, head_mask)
File "D:\Fooocus\Fooocus_win64_2-5-0\python_embeded\lib\site-packages\transformers\models\gpt2\modeling_gpt2.py", line 217, in _attn
attn_weights = torch.where(causal_mask, attn_weights.to(attn_weights.dtype), mask_value)
RuntimeError: Expected all tensors to be on the same device, but found at least two devices, cuda:0 and cpu!
Total time: 1.70 seconds
[Parameters] Adaptive CFG = 7
[Parameters] CLIP Skip = 2
[Parameters] Sharpness = 2
[Parameters] ControlNet Softness = 0.25
[Parameters] ADM Scale = 1.5 : 0.8 : 0.3
[Parameters] Seed = 7287215922000802215
[Parameters] CFG = 4
[Fooocus] Loading control models ...
[Parameters] Sampler = dpmpp_2m_sde_gpu - karras
[Parameters] Steps = 60 - 30
[Fooocus] Initializing ...
[Fooocus] Loading models ...
Refiner unloaded.
Requested to load SDXLClipModel
Loading 1 new model
[Fooocus Model Management] Moving model(s) has taken 0.89 seconds
[Fooocus] Processing prompts ...
[Fooocus] Preparing Fooocus text #1 ...
Fooocus Expansion loaded by itself.
[Fooocus Model Management] Moving model(s) has taken 0.36 seconds
Traceback (most recent call last):
File "D:\Fooocus\Fooocus_win64_2-5-0\Fooocus\modules\async_worker.py", line 1469, in worker
handler(task)
File "D:\Fooocus\Fooocus_win64_2-5-0\python_embeded\lib\site-packages\torch\utils_contextlib.py", line 115, in decorate_context
return func(*args, **kwargs)
File "D:\Fooocus\Fooocus_win64_2-5-0\python_embeded\lib\site-packages\torch\utils_contextlib.py", line 115, in decorate_context
return func(*args, **kwargs)
File "D:\Fooocus\Fooocus_win64_2-5-0\Fooocus\modules\async_worker.py", line 1160, in handler
tasks, use_expansion, loras, current_progress = process_prompt(async_task, async_task.prompt, async_task.negative_prompt,
File "D:\Fooocus\Fooocus_win64_2-5-0\Fooocus\modules\async_worker.py", line 738, in process_prompt
expansion = pipeline.final_expansion(t['task_prompt'], t['task_seed'])
File "D:\Fooocus\Fooocus_win64_2-5-0\python_embeded\lib\site-packages\torch\utils_contextlib.py", line 115, in decorate_context
return func(*args, **kwargs)
File "D:\Fooocus\Fooocus_win64_2-5-0\python_embeded\lib\site-packages\torch\utils_contextlib.py", line 115, in decorate_context
return func(*args, **kwargs)
File "D:\Fooocus\Fooocus_win64_2-5-0\Fooocus\extras\expansion.py", line 120, in call
features = self.model.generate(**tokenized_kwargs,
File "D:\Fooocus\Fooocus_win64_2-5-0\python_embeded\lib\site-packages\torch\utils_contextlib.py", line 115, in decorate_context
return func(*args, **kwargs)
File "D:\Fooocus\Fooocus_win64_2-5-0\python_embeded\lib\site-packages\transformers\generation\utils.py", line 1914, in generate
result = self._sample(
File "D:\Fooocus\Fooocus_win64_2-5-0\python_embeded\lib\site-packages\transformers\generation\utils.py", line 2651, in _sample
outputs = self(
File "D:\Fooocus\Fooocus_win64_2-5-0\python_embeded\lib\site-packages\torch\nn\modules\module.py", line 1518, in _wrapped_call_impl
return self._call_impl(*args, **kwargs)
File "D:\Fooocus\Fooocus_win64_2-5-0\python_embeded\lib\site-packages\torch\nn\modules\module.py", line 1527, in _call_impl
return forward_call(*args, **kwargs)
File "D:\Fooocus\Fooocus_win64_2-5-0\python_embeded\lib\site-packages\transformers\models\gpt2\modeling_gpt2.py", line 1421, in forward
transformer_outputs = self.transformer(
File "D:\Fooocus\Fooocus_win64_2-5-0\python_embeded\lib\site-packages\torch\nn\modules\module.py", line 1518, in _wrapped_call_impl
return self._call_impl(*args, **kwargs)
File "D:\Fooocus\Fooocus_win64_2-5-0\python_embeded\lib\site-packages\torch\nn\modules\module.py", line 1527, in _call_impl
return forward_call(*args, **kwargs)
File "D:\Fooocus\Fooocus_win64_2-5-0\python_embeded\lib\site-packages\transformers\models\gpt2\modeling_gpt2.py", line 1235, in forward
outputs = block(
File "D:\Fooocus\Fooocus_win64_2-5-0\python_embeded\lib\site-packages\torch\nn\modules\module.py", line 1518, in _wrapped_call_impl
return self._call_impl(*args, **kwargs)
File "D:\Fooocus\Fooocus_win64_2-5-0\python_embeded\lib\site-packages\torch\nn\modules\module.py", line 1527, in _call_impl
return forward_call(*args, **kwargs)
File "D:\Fooocus\Fooocus_win64_2-5-0\python_embeded\lib\site-packages\transformers\models\gpt2\modeling_gpt2.py", line 720, in forward
attn_outputs = self.attn(
File "D:\Fooocus\Fooocus_win64_2-5-0\python_embeded\lib\site-packages\torch\nn\modules\module.py", line 1518, in _wrapped_call_impl
return self._call_impl(*args, **kwargs)
File "D:\Fooocus\Fooocus_win64_2-5-0\python_embeded\lib\site-packages\torch\nn\modules\module.py", line 1527, in _call_impl
return forward_call(*args, **kwargs)
File "D:\Fooocus\Fooocus_win64_2-5-0\python_embeded\lib\site-packages\transformers\models\gpt2\modeling_gpt2.py", line 346, in forward
attn_output, attn_weights = self._attn(query, key, value, attention_mask, head_mask)
File "D:\Fooocus\Fooocus_win64_2-5-0\python_embeded\lib\site-packages\transformers\models\gpt2\modeling_gpt2.py", line 217, in _attn
attn_weights = torch.where(causal_mask, attn_weights.to(attn_weights.dtype), mask_value)
RuntimeError: Expected all tensors to be on the same device, but found at least two devices, cuda:0 and cpu!
Total time: 1.28 seconds

[mashb1t]

Due to lowvram mode the prompt expansion model has been loaded to gpu after the mask tensor was moved to CPU (RAM/swap).
Ensure you have sufficient swap set up and restart Fooocus.

[samirsalims]

i have simple problem ., :D
i can't find the setup button

[samirsalims]

@samirsalims which issues are you facing and which hardware does your PC have? Please be aware that Colab is only available for a limited amount of time, roughly 2h / day for free users + not all features are supported due to Colab hardware restrictions (see readme).

there's anyway to use colab or something like colab for more time than 2h and with all features ??!

[mashb1t]

@samirsalims you can use Colab Pro (paid) to get an increased amount of tokens aka. usage limit

[samirsalims]

i want help meto make a photo by fooocus beacuse i can't use this tool and i way find another way to make a professional headshot to use it in my cv
or can you tel me another way to make it
can you help me and make the photo for me by fooocus ?
i will send photo to make it for me
but pleae send ur e mail

[IPv6]

i want help meto make a photo

Use any online service with free tier - leonardo, tensor art, etc etc, or pay freelancer on fiverr

[samirsalims]

i tried manny times but didn't get good result
I tried more than once and it didn't work ., on more than one website. in all attempts, after writing the prompt, another person appears in the picture not me, even i put my picture in clear, high quality and without a background. i don't understand where the problem