add config (#619)
* add config * add config * add config * add config * add config * add config * add config * add config
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lllyasviel
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version = '2.1.34'
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version = '2.1.35'
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@ -224,7 +224,13 @@ def refresh_everything(refiner_model_name, base_model_name, loras):
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refresh_everything(
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refiner_model_name=modules.path.default_refiner_model_name,
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base_model_name=modules.path.default_base_model_name,
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loras=[(modules.path.default_lora_name, 0.5), ('None', 0.5), ('None', 0.5), ('None', 0.5), ('None', 0.5)]
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loras=[
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(modules.path.default_lora_name, modules.path.default_lora_weight),
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('None', modules.path.default_lora_weight),
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('None', modules.path.default_lora_weight),
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('None', modules.path.default_lora_weight),
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('None', modules.path.default_lora_weight)
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]
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)
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@ -18,10 +18,7 @@ SCHEDULER_NAMES = ["normal", "karras", "exponential", "sgm_uniform", "simple", "
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SAMPLER_NAMES = KSAMPLER_NAMES + ["ddim", "uni_pc", "uni_pc_bh2"]
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sampler_list = SAMPLER_NAMES
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default_sampler = 'dpmpp_2m_sde_gpu'
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scheduler_list = SCHEDULER_NAMES
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default_scheduler = "karras"
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cn_ip = "Image Prompt"
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cn_canny = "PyraCanny"
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@ -1,5 +1,8 @@
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import os
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import json
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import modules.flags
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import modules.sdxl_styles
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from modules.model_loader import load_file_from_url
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@ -16,29 +19,85 @@ except Exception as e:
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print(e)
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def get_config_or_set_default(key, default):
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def get_dir_or_set_default(key, default_value):
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global config_dict
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v = config_dict.get(key, None)
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if isinstance(v, str) and os.path.exists(v) and os.path.isdir(v):
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return v
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else:
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dp = os.path.abspath(os.path.join(os.path.dirname(__file__), default))
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dp = os.path.abspath(os.path.join(os.path.dirname(__file__), default_value))
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os.makedirs(dp, exist_ok=True)
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config_dict[key] = dp
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return dp
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modelfile_path = get_config_or_set_default('modelfile_path', '../models/checkpoints/')
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lorafile_path = get_config_or_set_default('lorafile_path', '../models/loras/')
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vae_approx_path = get_config_or_set_default('vae_approx_path', '../models/vae_approx/')
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upscale_models_path = get_config_or_set_default('upscale_models_path', '../models/upscale_models/')
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inpaint_models_path = get_config_or_set_default('inpaint_models_path', '../models/inpaint/')
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controlnet_models_path = get_config_or_set_default('controlnet_models_path', '../models/controlnet/')
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clip_vision_models_path = get_config_or_set_default('clip_vision_models_path', '../models/clip_vision/')
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fooocus_expansion_path = get_config_or_set_default('fooocus_expansion_path',
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'../models/prompt_expansion/fooocus_expansion')
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modelfile_path = get_dir_or_set_default('modelfile_path', '../models/checkpoints/')
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lorafile_path = get_dir_or_set_default('lorafile_path', '../models/loras/')
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vae_approx_path = get_dir_or_set_default('vae_approx_path', '../models/vae_approx/')
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upscale_models_path = get_dir_or_set_default('upscale_models_path', '../models/upscale_models/')
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inpaint_models_path = get_dir_or_set_default('inpaint_models_path', '../models/inpaint/')
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controlnet_models_path = get_dir_or_set_default('controlnet_models_path', '../models/controlnet/')
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clip_vision_models_path = get_dir_or_set_default('clip_vision_models_path', '../models/clip_vision/')
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fooocus_expansion_path = get_dir_or_set_default('fooocus_expansion_path', '../models/prompt_expansion/fooocus_expansion')
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temp_outputs_path = get_dir_or_set_default('temp_outputs_path', '../outputs/')
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temp_outputs_path = get_config_or_set_default('temp_outputs_path', '../outputs/')
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def get_config_item_or_set_default(key, default_value, validator):
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global config_dict
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if key not in config_dict:
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config_dict[key] = default_value
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return default_value
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v = config_dict.get(key, None)
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if v is None or v == '':
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v = 'None'
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if validator(v):
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return v
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else:
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config_dict[key] = default_value
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return default_value
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default_base_model_name = get_config_item_or_set_default(
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key='default_model',
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default_value='sd_xl_base_1.0_0.9vae.safetensors',
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validator=lambda x: isinstance(x, str) and os.path.exists(os.path.join(modelfile_path, x))
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)
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default_refiner_model_name = get_config_item_or_set_default(
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key='default_refiner',
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default_value='sd_xl_refiner_1.0_0.9vae.safetensors',
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validator=lambda x: x == 'None' or (isinstance(x, str) and os.path.exists(os.path.join(modelfile_path, x)))
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)
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default_lora_name = get_config_item_or_set_default(
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key='default_lora',
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default_value='sd_xl_offset_example-lora_1.0.safetensors',
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validator=lambda x: x == 'None' or (isinstance(x, str) and os.path.exists(os.path.join(lorafile_path, x)))
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)
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default_lora_weight = get_config_item_or_set_default(
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key='default_lora_weight',
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default_value=0.5,
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validator=lambda x: isinstance(x, float)
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)
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default_cfg_scale = get_config_item_or_set_default(
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key='default_cfg_scale',
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default_value=7.0,
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validator=lambda x: isinstance(x, float)
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)
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default_sampler = get_config_item_or_set_default(
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key='default_sampler',
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default_value='dpmpp_2m_sde_gpu',
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validator=lambda x: x in modules.flags.sampler_list
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)
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default_scheduler = get_config_item_or_set_default(
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key='default_scheduler',
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default_value='karras',
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validator=lambda x: x in modules.flags.scheduler_list
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)
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default_styles = get_config_item_or_set_default(
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key='default_styles',
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default_value=['Fooocus V2', 'Default (Slightly Cinematic)'],
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validator=lambda x: isinstance(x, list) and all(y in modules.sdxl_styles.legal_style_names for y in x)
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)
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with open(config_path, "w", encoding="utf-8") as json_file:
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json.dump(config_dict, json_file, indent=4)
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@ -46,11 +105,6 @@ with open(config_path, "w", encoding="utf-8") as json_file:
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os.makedirs(temp_outputs_path, exist_ok=True)
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default_base_model_name = 'sd_xl_base_1.0_0.9vae.safetensors'
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default_refiner_model_name = 'sd_xl_refiner_1.0_0.9vae.safetensors'
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default_lora_name = 'sd_xl_offset_example-lora_1.0.safetensors'
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default_lora_weight = 0.5
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model_filenames = []
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lora_filenames = []
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@ -1,6 +1,4 @@
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fooocus_expansion = "Fooocus V2"
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default_styles = ["Default (Slightly Cinematic)"]
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import modules.path
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# https://github.com/twri/sdxl_prompt_styler/blob/main/sdxl_styles.json
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styles = [
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@ -933,9 +931,11 @@ def normalize_key(k):
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return k
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default_styles = [normalize_key(x) for x in default_styles]
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styles = {normalize_key(k['name']): (k['prompt'], k['negative_prompt']) for k in styles}
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style_keys = list(styles.keys())
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fooocus_expansion = "Fooocus V2"
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legal_style_names = [fooocus_expansion] + style_keys
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SD_XL_BASE_RATIOS = {
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"0.5": (704, 1408),
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64
readme.md
64
readme.md
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@ -217,9 +217,69 @@ Below things are already inside the software, and **users do not need to do anyt
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13. The joint swap system of refiner now also support img2img and upscale in a seamless way.
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14. CFG Scale and TSNR correction (tuned for SDXL) when CFG is bigger than 10.
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## Changing Model Path
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## Customization
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After the first time you run Fooocus, a config file will be generated at `Fooocus\user_path_config.txt`. This file can be edited for changing the model path.
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After the first time you run Fooocus, a config file will be generated at `Fooocus\user_path_config.txt`. This file can be edited for changing the model path. You can also change some parameters to turn Fooocus into "your Fooocus".
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For example ["realisticStockPhoto_v10" is a pretty good model from CivitAI](https://civitai.com/models/139565/realistic-stock-photo). This model needs a special `CFG=3.0` and probably works better with some specific styles. Below is an example config to turn Fooocus into a **"Fooocus Realistic Stock Photo Software"**:
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`Fooocus\user_path_config.txt`:
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```json
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{
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"modelfile_path": "D:\\Fooocus\\models\\checkpoints",
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"lorafile_path": "D:\\Fooocus\\models\\loras",
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"vae_approx_path": "D:\\Fooocus\\models\\vae_approx",
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"upscale_models_path": "D:\\Fooocus\\models\\upscale_models",
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"inpaint_models_path": "D:\\Fooocus\\models\\inpaint",
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"controlnet_models_path": "D:\\Fooocus\\models\\controlnet",
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"clip_vision_models_path": "D:\\Fooocus\\models\\clip_vision",
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"fooocus_expansion_path": "D:\\Fooocus\\models\\prompt_expansion\\fooocus_expansion",
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"temp_outputs_path": "D:\\Fooocus\\outputs",
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"default_model": "realisticStockPhoto_v10.safetensors",
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"default_refiner": "",
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"default_lora": "",
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"default_lora_weight": 0.25,
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"default_cfg_scale": 3.0,
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"default_sampler": "dpmpp_2m",
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"default_scheduler": "karras",
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"default_styles": [
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"Fooocus V2",
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"Default (Slightly Cinematic)",
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"SAI Photographic"
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]
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}
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```
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Then you will get this special Fooocus software for you
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<details>
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<summary>Click here to the see the image. </summary>
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("girl in garden, holding flowers, freckles", seed 12345)
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</details>
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Below, for comparison, is the default Fooocus without config customization:
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<details>
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<summary>Click here to the see the image. </summary>
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("girl in garden, holding flowers, freckles", seed 12345)
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</details>
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You can see that default Fooocus is also strong though "realisticStockPhoto_v10" may understand "freckles" better.
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Consider twice before you really change the config because in many cases results are worse than default official Fooocus. You are warned, and you need to know exactly what you are doing.
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If you find yourself breaking things, just delete `Fooocus\user_path_config.txt`. Fooocus will go back to default.
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## Advanced Features
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16
webui.py
16
webui.py
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@ -12,7 +12,7 @@ import modules.gradio_hijack as grh
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import modules.advanced_parameters as advanced_parameters
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import args_manager
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from modules.sdxl_styles import style_keys, aspect_ratios, fooocus_expansion, default_styles, default_aspect_ratio
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from modules.sdxl_styles import legal_style_names, aspect_ratios, fooocus_expansion, default_aspect_ratio
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def generate_clicked(*args):
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@ -192,8 +192,8 @@ with shared.gradio_root:
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with gr.Tab(label='Style'):
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style_selections = gr.CheckboxGroup(show_label=False, container=False,
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choices=[fooocus_expansion] + style_keys,
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value=[fooocus_expansion] + default_styles,
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choices=legal_style_names,
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value=modules.path.default_styles,
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label='Image Style')
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with gr.Tab(label='Model'):
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with gr.Row():
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@ -211,7 +211,7 @@ with shared.gradio_root:
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with gr.Tab(label='Advanced'):
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sharpness = gr.Slider(label='Sampling Sharpness', minimum=0.0, maximum=30.0, step=0.001, value=2.0,
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info='Higher value means image and texture are sharper.')
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guidance_scale = gr.Slider(label='Guidance Scale', minimum=1.0, maximum=30.0, step=0.01, value=7.0,
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guidance_scale = gr.Slider(label='Guidance Scale', minimum=1.0, maximum=30.0, step=0.01, value=modules.path.default_cfg_scale,
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info='Higher value means style is cleaner, vivider, and more artistic.')
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gr.HTML('<a href="https://github.com/lllyasviel/Fooocus/discussions/117">\U0001F4D4 Document</a>')
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@ -229,8 +229,12 @@ with shared.gradio_root:
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adaptive_cfg = gr.Slider(label='CFG Mimicking from TSNR', minimum=1.0, maximum=30.0, step=0.01, value=7.0,
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info='Enabling Fooocus\'s implementation of CFG mimicking for TSNR '
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'(effective when real CFG > mimicked CFG).')
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sampler_name = gr.Dropdown(label='Sampler', choices=flags.sampler_list, value=flags.default_sampler, info='Only effective in non-inpaint mode.')
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scheduler_name = gr.Dropdown(label='Scheduler', choices=flags.scheduler_list, value=flags.default_scheduler, info='Scheduler of Sampler.')
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sampler_name = gr.Dropdown(label='Sampler', choices=flags.sampler_list,
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value=modules.path.default_sampler,
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info='Only effective in non-inpaint mode.')
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scheduler_name = gr.Dropdown(label='Scheduler', choices=flags.scheduler_list,
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value=modules.path.default_scheduler,
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info='Scheduler of Sampler.')
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overwrite_step = gr.Slider(label='Forced Overwrite of Sampling Step',
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minimum=-1, maximum=200, step=1, value=-1,
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