Ioclab
Rank:Average Model Cost: $0.0000
Number of Runs: 16,212
Models by this creator
control_v1p_sd15_brightness
control_v1p_sd15_brightness
control_v1p_sd15_brightness is an image-to-image model that can adjust the brightness of an image. It takes an input image and outputs a modified version of the image with the brightness adjusted according to the specified parameters. The model is trained using a dataset of images with varying brightness levels to learn how to accurately adjust the brightness of an image.
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16.0K
Huggingface
connow
connow
Model Card for ioclab/ioc-controlnet This model brings perfect control over the light and dark areas of the picture Model Details Developed by: @shichen Shared by [optional]: [More Information Needed] Model type: Stable Diffusion ControlNet model for web UI License: The CreativeML OpenRAIL M license is an Open RAIL M license, adapted from the work that BigScience and the RAIL Initiative are jointly carrying in the area of responsible AI licensing. See also the article about the BLOOM Open RAIL license on which our license is based. Uses Recommendation Weight: 0.4-0.9 Recommendation Exit Timing: 0.4-0.9 As more datasets are still being trained in this model, it is expected to take 2-4 days. Therefore, flexible weight adjustments should be made based on different scenarios and specific results. If you have generated good images or encountered any problems, you can discuss them on Hugging Face~~~ For more information, please refer to the document link at the bottom. Please note that the model is still under training iteration!! Please come back every 3 days to check if the latest modified version has been released. HuggingFace Space Demo Waiting for upload Direct Use [More Information Needed] Out-of-Scope Use [More Information Needed] Bias, Risks, and Limitations [More Information Needed] More Info illumination ControlNet 使用教程 (Chinese)
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69
Huggingface
control_v1u_sd15_illumination
control_v1u_sd15_illumination
controlnet- ioclab/control_v1u_sd15_illumination These are controlnet weights trained on runwayml/stable-diffusion-v1-5 with new type of conditioning. You can find some example images in the following. prompt: a woman sitting at a piano in a dark room with a window behind her and a window behind her, Atey Ghailan, anime art, a painting, neo-romanticism prompt: a woman with horns and a demon face on her head, with her hands on her face, in front of a demon like background, Ayami Kojima, anime art, a manga drawing, space art prompt: A girl with her head down, Sailor Moon prompt: (masterpiece, best quality: 1.4), 1girl,detailed background, white crystal, crysal cluster,long hair,jewelry, earrings, necklace, crown, bride, white hair, halo, prompt: (masterpiece, best quality: 1.4), 1girl,detailed background, white crystal, crysal cluster,long hair,jewelry, earrings, necklace, crown, bride, white hair, halo, prompt: (masterpiece, best quality: 1.4), 1girl,detailed background, white crystal, crysal cluster,long hair,jewelry, earrings, necklace, crown, bride, white hair, halo, prompt: (masterpiece, best quality: 1.4), 1girl,detailed background, white crystal, crysal cluster,long hair,jewelry, earrings, necklace, crown, bride, white hair, halo, prompt: (masterpiece, best quality: 1.4), 1girl,detailed background, white crystal, crysal cluster,long hair,jewelry, earrings, necklace, crown, bride, white hair, halo,
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41
Huggingface
control_v1u_sd15_illumination_webui
control_v1u_sd15_illumination_webui
Model Card for ioclab/ioc-controlnet This model brings brightness control to Stable Diffusion, allowing users to colorize grayscale images or recolor generated images. Model Details Developed by: @shichen Shared by [optional]: [More Information Needed] Model type: Stable Diffusion ControlNet model for web UI License: The CreativeML OpenRAIL M license is an Open RAIL M license, adapted from the work that BigScience and the RAIL Initiative are jointly carrying in the area of responsible AI licensing. See also the article about the BLOOM Open RAIL license on which our license is based. Uses Recommendation Weight: 0.4-0.9 Recommendation Exit Timing: 0.4-0.9 As more datasets are still being trained in this model, it is expected to take 2-4 days. Therefore, flexible weight adjustments should be made based on different scenarios and specific results. If you have generated good images or encountered any problems, you can discuss them on Hugging Face~~~ For more information, please refer to the document link at the bottom. Please note that the model is still under training iteration!! Please come back every 3 days to check if the latest modified version has been released. HuggingFace Space Demo Waiting for upload Direct Use [More Information Needed] Out-of-Scope Use [More Information Needed] Bias, Risks, and Limitations [More Information Needed] More Info illumination ControlNet 使用教程 (Chinese)
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36
Huggingface
control_v1u_sd15_brightness
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11
Huggingface
control_v1u_sd15_laplacian
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9
Huggingface
ioc-controlnet
ioc-controlnet
Download our ControlNet Models for AUTOMATIC1111 Stable Diffusion Web UI! Brightness Control Model Introduction Illumination Control Model Introduction [civitai Introduction]https://civitai.com/models/80536/lighting-based-picture-control-controlnet Best practice: Recommendation Weight: 0.4-0.9 Recommendation Exit Timing: 0.4-0.9
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0
Huggingface
control_v1u_sd15_illuminationnew
control_v1u_sd15_illuminationnew
Platform did not provide a description for this model.
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0
Huggingface
ioc-lab-models
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0
Huggingface