artdwn/stable-diffusion-backup
Stable Diffusion web UI A browser interface based on Gradio library for Stable Diffusion. Features Detailed feature showcase with images: Original txt2img and img2img modes One click install and run script (but you still must install python and git) Outpainting Inpainting Color Sketch Prompt Matrix Stable Diffusion Upscale Attention, specify parts of text that the model should pay more attention to a man in a ((tuxedo)) - will pay more attention to tuxedo a man… See the full description on the dataset page: https://huggingface.co/datasets/artdwn/stable-diffusion-backup.
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1import pytest2import requests3 4 5def test_options_write(base_url):6 url_options = f"{base_url}/sdapi/v1/options"7 response = requests.get(url_options)8 assert response.status_code == 2009 10 pre_value = response.json()["send_seed"]11 12 assert requests.post(url_options, json={'send_seed': (not pre_value)}).status_code == 20013 14 response = requests.get(url_options)15 assert response.status_code == 20016 assert response.json()['send_seed'] == (not pre_value)17 18 requests.post(url_options, json={"send_seed": pre_value})19 20 21@pytest.mark.parametrize("url", [22 "sdapi/v1/cmd-flags",23 "sdapi/v1/samplers",24 "sdapi/v1/upscalers",25 "sdapi/v1/sd-models",26 "sdapi/v1/hypernetworks",27 "sdapi/v1/face-restorers",28 "sdapi/v1/realesrgan-models",29 "sdapi/v1/prompt-styles",30 "sdapi/v1/embeddings",31])32def test_get_api_url(base_url, url):33 assert requests.get(f"{base_url}/{url}").status_code == 20034