reverted to plan Fooocus

Dockerfile

@@ -24,7 +24,6 @@ WORKDIR /content
 USER user
 
 RUN git clone https://github.com/lllyasviel/Fooocus /content/app
-COPY ../launch.py /content/app/launch.py
 RUN mv /content/app/models /content/app/models.org
 
 CMD [ "sh", "-c", "/content/entrypoint.sh ${CMDARGS}" ]

README.md

@@ -1,13 +1,3 @@
----
-title: Custom Ai
-emoji: 📈
-colorFrom: gray
-colorTo: purple
-sdk: docker
-pinned: false
----
-
-Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
 <div align=center>
 <img src="https://github.com/lllyasviel/Fooocus/assets/19834515/483fb86d-c9a2-4c20-997c-46dafc124f25">
 

config.txt

@@ -1,17 +0,0 @@
-{
-    "path_checkpoints": [
-        "/Users/tharms/workspace/gradio-gan/Fooocus/models/checkpoints"
-    ],
-    "path_loras": [
-        "/Users/tharms/workspace/gradio-gan/Fooocus/models/loras"
-    ],
-    "path_embeddings": "/Users/tharms/workspace/gradio-gan/Fooocus/models/embeddings",
-    "path_vae_approx": "/Users/tharms/workspace/gradio-gan/Fooocus/models/vae_approx",
-    "path_upscale_models": "/Users/tharms/workspace/gradio-gan/Fooocus/models/upscale_models",
-    "path_inpaint": "/Users/tharms/workspace/gradio-gan/Fooocus/models/inpaint",
-    "path_controlnet": "/Users/tharms/workspace/gradio-gan/Fooocus/models/controlnet",
-    "path_clip_vision": "/Users/tharms/workspace/gradio-gan/Fooocus/models/clip_vision",
-    "path_fooocus_expansion": "/Users/tharms/workspace/gradio-gan/Fooocus/models/prompt_expansion/fooocus_expansion",
-    "path_wildcards": "/Users/tharms/workspace/gradio-gan/Fooocus/wildcards",
-    "path_outputs": "/Users/tharms/workspace/gradio-gan/Fooocus/outputs"
-}

config_modification_tutorial.txt

@@ -1,131 +0,0 @@
-You can modify your "/Users/tharms/workspace/gradio-gan/generative-media-ai/config.txt" using the below keys, formats, and examples.
-Do not modify this file. Modifications in this file will not take effect.
-This file is a tutorial and example. Please edit "/Users/tharms/workspace/gradio-gan/generative-media-ai/config.txt" to really change any settings.
-Remember to split the paths with "\\" rather than "\", and there is no "," before the last "}". 
-
-
-{
-    "path_checkpoints": [
-        "/Users/tharms/workspace/gradio-gan/generative-media-ai/models/checkpoints"
-    ],
-    "path_loras": [
-        "/Users/tharms/workspace/gradio-gan/generative-media-ai/models/loras"
-    ],
-    "path_embeddings": "/Users/tharms/workspace/gradio-gan/generative-media-ai/models/embeddings",
-    "path_vae_approx": "/Users/tharms/workspace/gradio-gan/generative-media-ai/models/vae_approx",
-    "path_upscale_models": "/Users/tharms/workspace/gradio-gan/generative-media-ai/models/upscale_models",
-    "path_inpaint": "/Users/tharms/workspace/gradio-gan/generative-media-ai/models/inpaint",
-    "path_controlnet": "/Users/tharms/workspace/gradio-gan/generative-media-ai/models/controlnet",
-    "path_clip_vision": "/Users/tharms/workspace/gradio-gan/generative-media-ai/models/clip_vision",
-    "path_fooocus_expansion": "/Users/tharms/workspace/gradio-gan/generative-media-ai/models/prompt_expansion/fooocus_expansion",
-    "path_wildcards": "/Users/tharms/workspace/gradio-gan/generative-media-ai/wildcards",
-    "path_outputs": "/Users/tharms/workspace/gradio-gan/Fooocus/outputs",
-    "temp_path": "/var/folders/29/5gn3wpkn70x7xyrzs2l59jdc0000gq/T/fooocus",
-    "temp_path_cleanup_on_launch": true,
-    "default_model": "juggernautXL_v8Rundiffusion.safetensors",
-    "previous_default_models": [
-        "juggernautXL_version8Rundiffusion.safetensors",
-        "juggernautXL_version7Rundiffusion.safetensors",
-        "juggernautXL_v7Rundiffusion.safetensors",
-        "juggernautXL_version6Rundiffusion.safetensors",
-        "juggernautXL_v6Rundiffusion.safetensors"
-    ],
-    "default_refiner": "None",
-    "default_refiner_switch": 0.5,
-    "default_loras_min_weight": -2,
-    "default_loras_max_weight": 2,
-    "default_loras": [
-        [
-            true,
-            "sd_xl_offset_example-lora_1.0.safetensors",
-            0.1
-        ],
-        [
-            true,
-            "None",
-            1.0
-        ],
-        [
-            true,
-            "None",
-            1.0
-        ],
-        [
-            true,
-            "None",
-            1.0
-        ],
-        [
-            true,
-            "None",
-            1.0
-        ]
-    ],
-    "default_max_lora_number": 5,
-    "default_cfg_scale": 4.0,
-    "default_sample_sharpness": 2.0,
-    "default_sampler": "dpmpp_2m_sde_gpu",
-    "default_scheduler": "karras",
-    "default_styles": [
-        "Fooocus V2",
-        "Fooocus Enhance",
-        "Fooocus Sharp"
-    ],
-    "default_prompt_negative": "",
-    "default_prompt": "",
-    "default_performance": "Speed",
-    "default_advanced_checkbox": false,
-    "default_max_image_number": 32,
-    "default_output_format": "png",
-    "default_image_number": 2,
-    "checkpoint_downloads": {
-        "juggernautXL_v8Rundiffusion.safetensors": "https://huggingface.co/lllyasviel/fav_models/resolve/main/fav/juggernautXL_v8Rundiffusion.safetensors"
-    },
-    "lora_downloads": {
-        "sd_xl_offset_example-lora_1.0.safetensors": "https://huggingface.co/stabilityai/stable-diffusion-xl-base-1.0/resolve/main/sd_xl_offset_example-lora_1.0.safetensors"
-    },
-    "embeddings_downloads": {},
-    "available_aspect_ratios": [
-        "704*1408",
-        "704*1344",
-        "768*1344",
-        "768*1280",
-        "832*1216",
-        "832*1152",
-        "896*1152",
-        "896*1088",
-        "960*1088",
-        "960*1024",
-        "1024*1024",
-        "1024*960",
-        "1088*960",
-        "1088*896",
-        "1152*896",
-        "1152*832",
-        "1216*832",
-        "1280*768",
-        "1344*768",
-        "1344*704",
-        "1408*704",
-        "1472*704",
-        "1536*640",
-        "1600*640",
-        "1664*576",
-        "1728*576"
-    ],
-    "default_aspect_ratio": "1152*896",
-    "default_inpaint_engine_version": "v2.6",
-    "default_cfg_tsnr": 7.0,
-    "default_overwrite_step": -1,
-    "default_overwrite_switch": -1,
-    "example_inpaint_prompts": [
-        "highly detailed face",
-        "detailed girl face",
-        "detailed man face",
-        "detailed hand",
-        "beautiful eyes"
-    ],
-    "default_save_metadata_to_images": false,
-    "default_metadata_scheme": "fooocus",
-    "metadata_created_by": ""
-}

dummy_inference.py

@@ -1,5 +0,0 @@
-def infer_stable_diffusion(prompt, negative_prompt, seed, randomize_seed, width, height, guidance_scale, num_inference_steps):
-    return "dummy_image"
-
-def infer_dall_e(text, model, quality, size):
-    return "dummy_image"

inference.py

@@ -1,65 +0,0 @@
-import numpy as np
-import random
-from diffusers import DiffusionPipeline
-import torch
-from openai import OpenAI
-from dotenv import load_dotenv
-import os
-
-load_dotenv()
-openai_key = os.getenv("OPENAI_KEY")
-
-if openai_key == "<YOUR_OPENAI_KEY>":
-    openai_key = ""
-
-if openai_key == "":
-    sys.exit("Please Provide Your OpenAI API Key")
-
-device = "cuda" if torch.cuda.is_available() else "cpu"
-
-if torch.cuda.is_available():
-    torch.cuda.max_memory_allocated(device=device)
-    pipe = DiffusionPipeline.from_pretrained("stabilityai/sdxl-turbo", torch_dtype=torch.float16, variant="fp16", use_safetensors=True)
-    pipe.enable_xformers_memory_efficient_attention()
-    pipe = pipe.to(device)
-else: 
-    pipe = DiffusionPipeline.from_pretrained("stabilityai/sdxl-turbo", use_safetensors=True)
-    pipe = pipe.to(device)
-
-MAX_SEED = np.iinfo(np.int32).max
-
-def infer_stable_diffusion(prompt, negative_prompt, seed, randomize_seed, width, height, guidance_scale, num_inference_steps):
-
-    if randomize_seed:
-        seed = random.randint(0, MAX_SEED)
-        
-    generator = torch.Generator().manual_seed(seed)
-    
-    image = pipe(
-        prompt = prompt, 
-        negative_prompt = negative_prompt,
-        guidance_scale = guidance_scale, 
-        num_inference_steps = num_inference_steps, 
-        width = width, 
-        height = height,
-        generator = generator
-    ).images[0] 
-    
-    return image
-
-def infer_dall_e(text, model, quality, size):
-    try:
-        client = OpenAI(api_key=openai_key)
-
-        response = client.images.generate(
-            prompt=text,
-            model=model,
-            quality=quality,
-            size=size,
-            n=1,
-        )
-    except Exception as error:
-        print(str(error))
-        raise gr.Error("An error occurred while generating image.")
-
-    return response.data[0].url

launch.py

@@ -2,7 +2,6 @@ import os
 import ssl
 import sys
 
-print('CUSTOMIZED LAUNCHER')
 print('[System ARGV] ' + str(sys.argv))
 
 root = os.path.dirname(os.path.abspath(__file__))
@@ -39,7 +38,6 @@ def prepare_environment():
     if REINSTALL_ALL or not is_installed("torch") or not is_installed("torchvision"):
         run(f'"{python}" -m {torch_command}', "Installing torch and torchvision", "Couldn't install torch", live=True)
 
-    print('XFORMERS TRY_INSTALL_XFORMERS=', {TRY_INSTALL_XFORMERS})
     if TRY_INSTALL_XFORMERS:
         if REINSTALL_ALL or not is_installed("xformers"):
             xformers_package = os.environ.get('XFORMERS_PACKAGE', 'xformers==0.0.23')
@@ -55,7 +53,6 @@ def prepare_environment():
             elif platform.system() == "Linux":
                 run_pip(f"install -U -I --no-deps {xformers_package}", "xformers")
 
-    print('REINSTALL_ALL=', {REINSTALL_ALL})
     if REINSTALL_ALL or not requirements_met(requirements_file):
         run_pip(f"install -r \"{requirements_file}\"", "requirements")