Add preset for SDXL Turbo (model DreamShaperXL_Turbo)

[mashb1t]

closes #1499
discussion in #1060

references

• https://mindrenders.com/sdxl-turbo-fooocus/
  examples: https://wiki.mindrenders.com/books/fooocus/chapter/fooocus-image-sets
• https://huggingface.co/Lykon/dreamshaper-xl-turbo
• https://civitai.com/models/112902/dreamshaper-xl
• https://stability.ai/membership

What's wondering me is that the list "possible_preset_keys" (config.py) isn't used when loading presets, see https://github.com/lllyasviel/Fooocus/blob/main/modules/config.py#L82-L95, config_dict.update(json.load(json_file)).

In this case the behaviour good, so one can simply add default_override_step to the preset and it's working perfectly fine.
Please let me know if you'd rather also have the key default_override_step in possible_preset_keys.

I'd also propose to add a license hint to the readme if/when adding turbo to the list of presets and to the installer.
Example from https://civitai.com/models/215418:

NOTE ON LICENSING - This model is based on the SDXL Turbo model released by Stability AI. They have flagged the model as being released under a non-commercial research license that permits personal, non-commercial use only. Be aware this model cannot be used for image generation services at this time.

Thanks!

[siriume]

I think this preset is not as good as a performance selection, 'cause it overrides the number of steps

[siriume]

add here

Fooocus/modules/async_worker.py

Line 173 in 7b5bced

if performance_selection == 'Speed':

        if performance_selection == 'Turbo Speed':
            print('Enter SDXL Turbo mode.')
            progressbar(async_task, 1, 'Downloading SDXL Turbo components ...')
            # change this to config.py could be better
            modules.config.load_file_from_url(
                url='https://huggingface.co/Lykon/dreamshaper-xl-turbo/resolve/main/DreamShaperXL_Turbo_dpmppSdeKarras_half_pruned_6.safetensors',
                model_dir=modules.config.path_checkpoints,
                file_name='DreamShaperXL_Turbo_dpmppSdeKarras_half_pruned_6.safetensors'
            )

            refiner_model_name = 'None'
            sampler_name = advanced_parameters.sampler_name = 'dpmpp_sde'
            cfg_scale = guidance_scale = 2.0
            modules.patch.sharpness = sharpness = 3.0
            steps = 6

[xhoxye]

I think presets are better than performance selections, because LCM performance choices have the potential to lock parameters.

[mashb1t]

this is also something which i struggled with in the beginning, but i decided to go for a preset as performance selections are not bound to a specific model but rather universally applicable while presets can be very specific and easier extended/changed by users without having to fiddle with the code.
Also, as pointed out by @xhoxye, SDXL Turbo allows for a bit of experimentation, which would be prevented when locking parameters.
EDIT: While some SDXL Turbo models, like the one from SAI, will work best with 512x512 and 1-4 steps, Dreamshaper XL Turbo works with 1024x1024 and 3-10 steps, while 6 is the perfect sweet spot for quality and speed.
This is why i think a preset is better than a performance selection in this case.

[lllyasviel]

hardcoding Turbo into project codebase is still under license investigation since some online commercial service also use fooocus for common users wheras Turbo is kind of NC model

[RahulVivekNair]

hardcoding Turbo into project codebase is still under license investigation since some online commercial service also use fooocus for common users wheras Turbo is kind of NC model

Any update on this? A turbo preset would make it so much easier to work with the new dreamshaper model.

[mashb1t]

hardcoding Turbo into project codebase is still under license investigation since some online commercial service also use fooocus for common users wheras Turbo is kind of NC model

Any update on this? A turbo preset would make it so much easier to work with the new dreamshaper model.

@RahulVivekNair as you can see there isnt yet an update on the matter. Feel free to use the preset locally or use my fork https://github.com/mashb1t/Fooocus, where the feature has already been merged.

[RahulVivekNair]

hardcoding Turbo into project codebase is still under license investigation since some online commercial service also use fooocus for common users wheras Turbo is kind of NC model

Any update on this? A turbo preset would make it so much easier to work with the new dreamshaper model.

@RahulVivekNair as you can see there isnt yet an update on the matter. Feel free to use the preset locally or use my fork https://github.com/mashb1t/Fooocus, where the feature has already been merged.

Switched to your fork, works quite well thanks!