Upload gradio-tgi-dark.png

Upload gradio-tgi.png

Upload sdxl_long_weighted_prompt.png (#157)

Upload gradio-tgi.png

Upload 2 files

Upload controlnet-img2img.jpg

Upload hf-logo-canny.png

Delete hf-logo-canny.png

Upload hf-logo-canny.png

Upload multicontrolnet.png

Update tgi images

Upload streaming-generation-visual.gif

Upload chatui_screen.png

Upload 4 files (#156)

Upload compel-dreambooth.png

Rename gradio-guides/image.png to gradio-guides/oauth_sign_in.png

Upload image.png

Upload TGI.png

Upload livingroom_modern.png (#155)

Upload output-image.png

Upload compel-text-inversion.png

Upload 2 files (#153)

Upload 10 files (#152)

Upload 4 files

Assets for swift-transformers post (#151)

Upload 2 files

Upload musicgen_inference_minified.wav

Upload musicgen_inference.wav

Upload 2 files

Upload 3 files

Upload lang_freq.png

add prediction worflow diagram (#150)

Image for VQA task guide (#149)

Upload 2 files

Upload sdxl-cropped.png

Upload sdxl-img2img.png

Upload sdxl-inpaint-mask.png

Upload sdxl-inpaint-mask.png

Upload endpoint_running.png

images for distill_sd blog post (#148)

Upload bark blogpost files (#147)

add 3d assets blog post documentation images

Upload sdxl-text2img.png

Upload autopipeline-inpaint.png

Upload autopipeline-img2img.png

Upload mc-downloads.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 endpoint_running.png