inference example for fabric

Upload pix2pix-dog-daisy.png

Upload pix2pix-van-gogh-dog.png

Upload 3D-cake.gif

Upload sdxl_long_weighted_prompt.png (#157)

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Upload controlnet-img2img.jpg

Upload hf-logo-canny.png

Upload multicontrolnet.png

Upload compel-dreambooth.png

Upload livingroom_modern.png (#155)

Upload compel-text-inversion.png

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Upload sdxl-cropped.png

Upload sdxl-img2img.png

Upload sdxl-inpaint-mask.png

Upload sdxl-inpaint-mask.png

Upload sdxl-text2img.png

Upload autopipeline-inpaint.png

Upload autopipeline-img2img.png

Upload 2 files (#146)

Compress sd_ip2p_training_val_img_progress.gif and sdxl_ip2p_training_val_img_progress.gif (#145)

Two GIFs have been uploaded, illustrating the process of the instruct pix2pix model being trained. The training process showcases the transformation of the same image using both the original SD and SDXL versions. (#144)

Upload autopipeline-text2img.png

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Upload darth_vader_36_1024.gif

Upload video_1024_darth_vader_36.mp4

Upload darthvader_cerpense.gif

Upload self_seg_comparison.png (#116)

Upload ldm3d.png

Upload zero_snr.png

Sample output for tune a video pipeline (#111)

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Upload a1111-lora-sf.png

Upload unidiffuser.gif

Upload unidiffuser.gif

Upload lora_non_lora_comparison.png

movefolder (#99)

Upload textual_inversion_inference.png

Upload 14 files (#83)

Upload t2v_zero_teaser.png (#71)

Upload coco-cats.png

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Upload depth2img-tigers.png

Upload inpainting-cat.png

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Upload 6 files (#63)

Upload 2 files (#58)