How to input gradio settings in Python

[levoz92]

Hi.

I use realisticStockPhoto_v20 on Fooocus with sdxl_film_photography_style lora and I really like the results. Fooocus and other gradio implementations come with settings inputs that I want to utilize in Python as well. In particular, if this is my code:

device = "cuda"
model_path = "weights/realisticStockPhoto_v20.safetensors"

pipe = StableDiffusionXLInpaintPipeline.from_single_file(
    model_path, 
    torch_dtype=torch.float16, 
    num_in_channels=4).to(device)

pipe.load_lora_weights(".", weight_name="weights/SDXL_FILM_PHOTOGRAPHY_STYLE_BetaV0.4.safetensors", adapter_name="film")

how can I set the following settings/parameters in code?

• Negative Prompt
• Preset (initial, lcm, default, lighting, realistic, sai, anime)
• Performance (quality, speed, extreme speed, lightning)
• width-height
• image number
• output format
• Style (Fooocus v2, fooocus photography, fooocus negative, foocus enhance, etc.)
• Base Model
• Refiner
• Lora 1,2,3,4,5,...
• Guidance scale
• Image sharpness

[tolgacangoz]

I strongly recommend you examine the docs page for that pipeline.

[levoz92]

I strongly recommend you examine the docs page for that pipeline.

Definitely will do. Thanks.

But just a cursory overview, I don't see a lot of what I listed in the documentation. Nothing about Preset, Performance, Style, Base, Refiner.

[tolgacangoz]

I think "performance" can be arranged with num_inference_steps and strength. You can search "refiner" in the search bar on the docs page to see all the examples in the diffusers. The styles seem special for Fooocus; they should be adaptable here as well. Idk about preset. A more knowledgeble may answer you.