Closed isntvlbl closed 2 months ago
When I try to generate with any model except for default Juggernaut Fooocus just stops wit "press any key"
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D:\0Fooocus_win64_2-5-0>.\python_embeded\python.exe -s Fooocus\entry_with_update.py Already up-to-date 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 [Cleanup] Attempting to delete content of temp dir C:\Users\Dioh\AppData\Local\Temp\fooocus [Cleanup] Cleanup successful Total VRAM 12287 MB, total RAM 32694 MB Set vram state to: NORMAL_VRAM Always offload VRAM Device: cuda:0 NVIDIA GeForce RTX 3060 : 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.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:\0Fooocus_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:\0Fooocus_win64_2-5-0\Fooocus\models\checkpoints\juggernautXL_v8Rundiffusion.safetensors]. Loaded LoRA [D:\0Fooocus_win64_2-5-0\Fooocus\models\loras\sd_xl_offset_example-lora_1.0.safetensors] for UNet [D:\0Fooocus_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:\0Fooocus_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 [Fooocus Model Management] Moving model(s) has taken 0.63 seconds Started worker with PID 4448 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 = 2867317108108257605 [Parameters] CFG = 4 [Fooocus] Loading control models ... [Parameters] Sampler = dpmpp_2m_sde_gpu - karras [Parameters] Steps = 30 - 15 [Fooocus] Initializing ... [Fooocus] Loading models ... Refiner unloaded. [Fooocus] Processing prompts ... [Fooocus] Preparing Fooocus text #1 ... [Prompt Expansion] girl, light, intricate, elegant, sharp focus, beautiful, highly detailed, formal, colorful, very strong, fine, professional, winning, elaborate complex, background color, cinematic, modern, surreal, inspiring, thought, imposing, perfect, incredible, symmetry, amazing, creative, awesome, pure, attractive, best, dramatic, lovely, cute, magnificent, coherent [Fooocus] Preparing Fooocus text #2 ... [Prompt Expansion] girl, epic, fine detail, intricate, elite, elegant, luxury, dramatic ambient light, professional, color, illuminated, sharp focus, beautiful, emotional, highly detailed, striking, rich dynamic background, open composition, cool, charming, amazing, symmetry, perfect, pretty, attractive, cinematic, shining, complex, appealing, coherent, romantic, iconic, best, awesome [Fooocus] Encoding positive #1 ... [Fooocus Model Management] Moving model(s) has taken 0.17 seconds [Fooocus] Encoding positive #2 ... [Fooocus] Encoding negative #1 ... [Fooocus] Encoding negative #2 ... [Parameters] Denoising Strength = 1.0 [Parameters] Initial Latent shape: Image Space (896, 1152) Preparation time: 4.38 seconds Using karras scheduler. [Fooocus] Preparing task 1/2 ... [Sampler] refiner_swap_method = joint [Sampler] sigma_min = 0.0291671771556139, sigma_max = 14.614643096923828 Requested to load SDXL Loading 1 new model [Fooocus Model Management] Moving model(s) has taken 2.10 seconds 100%|████████████████████████████████████████████████████████████| 30/30 [00:22<00:00, 1.36it/s] Requested to load AutoencoderKL Loading 1 new model [Fooocus Model Management] Moving model(s) has taken 0.16 seconds [Fooocus] Saving image 1/2 to system ... Image generated with private log at: D:\0Fooocus_win64_2-5-0\Fooocus\outputs\2024-07-28\log.html Generating and saving time: 25.71 seconds [Fooocus] Preparing task 2/2 ... [Sampler] refiner_swap_method = joint [Sampler] sigma_min = 0.0291671771556139, sigma_max = 14.614643096923828 Requested to load SDXL Loading 1 new model [Fooocus Model Management] Moving model(s) has taken 1.43 seconds 100%|████████████████████████████████████████████████████████████| 30/30 [00:21<00:00, 1.37it/s] Requested to load AutoencoderKL Loading 1 new model [Fooocus Model Management] Moving model(s) has taken 0.16 seconds [Fooocus] Saving image 2/2 to system ... Image generated with private log at: D:\0Fooocus_win64_2-5-0\Fooocus\outputs\2024-07-28\log.html Generating and saving time: 24.61 seconds [Enhance] Skipping, preconditions aren't met Processing time (total): 50.33 seconds Requested to load SDXLClipModel Requested to load GPT2LMHeadModel Loading 2 new models Total time: 54.76 seconds [Fooocus Model Management] Moving model(s) has taken 0.62 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 = 5639170229168081785 [Parameters] CFG = 4 [Fooocus] Loading control models ... [Parameters] Sampler = dpmpp_2m_sde_gpu - karras [Parameters] Steps = 30 - 15 [Fooocus] Initializing ... [Fooocus] Loading models ... Refiner unloaded. model_type EPS UNet ADM Dimension 2816 Using pytorch attention in VAE Working with z of shape (1, 4, 32, 32) = 4096 dimensions. Using pytorch attention in VAE D:\0Fooocus_win64_2-5-0>pause Для продолжения нажмите любую клавишу . . .
This has nothing to do with 2.5.2. Please double-check your swap and try again.
See https://github.com/lllyasviel/Fooocus/blob/main/troubleshoot.md
Checklist
What happened?
When I try to generate with any model except for default Juggernaut Fooocus just stops wit "press any key"
Steps to reproduce the problem
What should have happened?
Start working
What browsers do you use to access Fooocus?
Other
Where are you running Fooocus?
Locally
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