mashb1t
commented
10 months ago As of https://github.com/lllyasviel/Fooocus/commit/8e62a72a63b30a3067d1a1bc3f8d226824bd9283 (latest Fooocus version 2.1.857) AMD with >= 8GB VRAM is now supported, before it was 16GB VRAM minimum.
You have to have at least 8GB of VRAM in order to use Fooocus with AMD GPU acceleration. As of https://www.amd.com/de/products/graphics/amd-radeon-rx-6500-xt your graphics card has up to 8GB VRAM. make sure to allocate all of it.
Feel free to use --always-cpu instead if this shouldn't work.
Image generation fails, takes about the same amount of time each time. Installed on Arch linux using Python Venv method.
Anyone have any idea what is happening?
Full Console Log python entry_with_update.py --preset realistic Already up-to-date Update succeeded. [System ARGV] ['entry_with_update.py', '--preset', 'realistic'] Loaded preset: /home/bruh/Documents/AI/Fooocus/presets/realistic.json Python 3.11.6 (main, Nov 14 2023, 09:36:21) [GCC 13.2.1 20230801] Fooocus version: 2.1.824 Running on local URL: http://127.0.0.1:7865
To create a public link, set
share=Trueinlaunch(). ATTENTION: default value of option mesa_glthread overridden by environment. Total VRAM 4080 MB, total RAM 31948 MB Trying to enable lowvram mode because your GPU seems to have 4GB or less. If you don't want this use: --normalvram Set vram state to: LOW_VRAM Disabling smart memory management Device: cuda:0 AMD Radeon RX 6500 XT : native VAE dtype: torch.float32 Using sub quadratic optimization for cross attention, if you have memory or speed issues try using: --use-split-cross-attention Refiner unloaded. model_type EPS adm 2816 Using split attention in VAE Working with z of shape (1, 4, 32, 32) = 4096 dimensions. Using split attention in VAE extra keys {'cond_stage_model.clip_g.transformer.text_model.embeddings.position_ids', 'cond_stage_model.clip_l.logit_scale', 'cond_stage_model.clip_l.text_projection'} Base model loaded: /home/bruh/Documents/AI/Fooocus/models/checkpoints/realisticStockPhoto_v10.safetensors Request to load LoRAs [['SDXL_FILM_PHOTOGRAPHY_STYLE_BetaV0.4.safetensors', 0.25], ['None', 1.0], ['None', 1.0], ['None', 1.0], ['None', 1.0]] for model [/home/bruh/Documents/AI/Fooocus/models/checkpoints/realisticStockPhoto_v10.safetensors]. Loaded LoRA [/home/bruh/Documents/AI/Fooocus/models/loras/SDXL_FILM_PHOTOGRAPHY_STYLE_BetaV0.4.safetensors] for UNet [/home/bruh/Documents/AI/Fooocus/models/checkpoints/realisticStockPhoto_v10.safetensors] with 788 keys at weight 0.25. Loaded LoRA [/home/bruh/Documents/AI/Fooocus/models/loras/SDXL_FILM_PHOTOGRAPHY_STYLE_BetaV0.4.safetensors] for CLIP [/home/bruh/Documents/AI/Fooocus/models/checkpoints/realisticStockPhoto_v10.safetensors] with 264 keys at weight 0.25. Fooocus V2 Expansion: Vocab with 642 words. Fooocus Expansion engine loaded for cpu, use_fp16 = False. Requested to load SDXLClipModel Requested to load GPT2LMHeadModel Loading 2 new models [Fooocus Model Management] Moving model(s) has taken 0.97 seconds App started successful. Use the app with http://127.0.0.1:7865/ or 127.0.0.1:7865 [Parameters] Adaptive CFG = 7 [Parameters] Sharpness = 2 [Parameters] ADM Scale = 1.5 : 0.8 : 0.3 [Parameters] CFG = 3.0 [Parameters] Seed = 2641080382862384140 [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] test, vibrant, inspired, highly detailed, intricate, epic composition, magical atmosphere, cinematic light, directed, vivid, beautiful, stunning, symmetry, full color, coherent, great, expressive, perfect, artistic, thought, iconic, amazing, creative, best, awesome, gorgeous, cool, marvelous, colossal, glorious, pure, illuminated, flowing, bright, wonderful [Fooocus] Preparing Fooocus text #2 ... [Prompt Expansion] test, cinematic, highly detailed, intricate, elegant, light shining, sharp focus, fair quality, dynamic illumination, professional composition, dramatic, thought, fine detail, clear, crisp, ambient color, beautiful, epic, grand, awesome, atmosphere, bright, vivid, romantic, enhanced, symmetry, determined, illuminated, pretty, attractive, depicted, full, artistic, deep [Fooocus] Encoding positive #1 ... [Fooocus] Encoding positive #2 ... [Fooocus] Encoding negative #1 ... [Fooocus] Encoding negative #2 ... [Parameters] Denoising Strength = 1.0 [Parameters] Initial Latent shape: Image Space (1152, 896) Preparation time: 5.14 seconds [Sampler] refiner_swap_method = joint [Sampler] sigma_min = 0.0291671771556139, sigma_max = 14.614643096923828 fish: Job 1, 'python entry_with_update.py --p…' terminated by signal SIGSEGV (Address boundary error)