huggingface · merveenoyan · Sep 9, 2024 · Sep 3, 2024 · Sep 3, 2024 · Sep 3, 2024
@@ -2,7 +2,7 @@
 
 ### Data Generation
 
-Businesses can generate data for their their use cases by inputting text and getting image outputs.
+Businesses can generate data for their use cases by inputting text and getting image outputs.
 
 ### Immersive Conversational Chatbots
 
@@ -16,9 +16,23 @@ Different patterns can be generated to obtain unique pieces of fashion. Text-to-
 
 Architects can utilise the models to construct an environment based out on the requirements of the floor plan. This can also include the furniture that has to be placed in that environment.
 
-## Task Variants
+##Task Variants
 
-You can contribute variants of this task [here](https://github.com/huggingface/hub-docs/blob/main/tasks/src/text-to-image/about.md).
+### Image Editing
+
+Image editing with text-to-image models involves using text prompts to describe the wanted changes in an image and then follow them.
+
+- Synthetic image editing: using text-to-image models to make adjustments to images that were initially created using an input prompt, while preserving the overall meaning or context of the original image.
+
+  ![Examples](https://datasets-server.huggingface.co/assets/diffusers/diffusers-images-docs/--/b20ecaa3f61372174c854e09fc856fdcce6f8494/--/default/train/0/image/image.png?Expires=1725455983&Signature=ykj3EnAENI6goXc7qI2Toq~P8P5IdS1DqNbSfH8vhgrdwaJoGH2cUbXWRgVAndhrHvRjrTTcU3YOyoExnot7zEhauyUEcqr-evRHDmGgfar52uEmfLbLCtNAcRK9Q85QOifupIH-X9x3rBUM03B0RIkHuto6wwRBAHireqr7QcD8hYRaNzACXrTbt-U7wHosZS8R1pdc3FDt7fDc3Qwh8XL0YoJqAoK8X8JnZEXIWTfGnCpygPBDbseDlYEzegGKzClAUgigQbomUk733VNtB3ol396uYkHCcjqjtgdhtEfAWQz-xM4eAhHpI~YEn7RQqRjB0RD0bPd1nHRU0wGUqA__&Key-Pair-Id=K3EI6M078Z3AC3)
+
+- Real image editing: similar to synthetic image editing, except we're using real photos/images. This task is usually more complex, as it involves first obtaining a latent representation of the image, in the latent domain of the model that it can then manipulate.
+
+  ![Examples](https://datasets-server.huggingface.co/assets/diffusers/diffusers-images-docs/--/default/train/1/image/image.jpg?Expires=1725453082&Signature=MOCeELTChydgLRZT9ws8owCraSVrdcm6c7Vlnsi23rJ1Ocigl6gjRtXwmjVDCKuG2fB6Hw0Tmn8ZR0M7FPiA2fXpSuPEW4iJMoeQNiNCtkSSjjDisDXbBSRXW1TXJ-Z2c~VoJ4lmmeUdFpyFZ9W~BlI6r2xQLltfU400XKPe~UgE-vJ~xr9ni8zZmyYt1kVtV9Et~EBzWCQkKc2DO9gI9HnEg9z2hxDHp8Bak0HBRARM4ObhRYxieWqO4hOg1HVk4LSt2E8emIuDmhPUU4v8L097yFcI4D6JeoyNNn0q6nKQZqAZIzwP8iiLqqhSv~mJsO7YGnQck1-bzA~gAiVMpg__&Key-Pair-Id=K3EI6M078Z3AC3)
+
+### Personalization
+
+Personalization refers to techniques used to customize text-to-image models, where we introduce new subjects/concepts to the model so that we can then use the model to generate new images of those subjects with a text prompt. For example, one can use these techniques to generate images of themselves, using as little as one reference image. These include teaching the model a new concept both in training free manner or through fine-tuning.
-Personalization refers to techniques used to customize text-to-image models, where we introduce new subjects/concepts to the model so that we can then use the model to generate new images of those subjects with a text prompt. For example, one can use these techniques to generate images of themselves, using as little as one reference image. These include teaching the model a new concept both in training free manner or through fine-tuning.
+Personalization refers to techniques used to customize text-to-image models. In this technique, we introduce new subjects/concepts to the model and then use the model to generate new images of those subjects with a text prompt. 
+
+For example, one can use these techniques to generate images of themselves, using as little as one reference image. These include teaching the model a new concept both in a training-free manner or through fine-tuning.
-Personalization refers to techniques used to customize text-to-image models, where we introduce new subjects/concepts to the model so that we can then use the model to generate new images of those subjects with a text prompt. For example, one can use these techniques to generate images of themselves, using as little as one reference image. These include teaching the model a new concept both in training free manner or through fine-tuning.
+Personalization refers to techniques used to customize text-to-image models. In this technique, we introduce new subjects/concepts to the model and then use the model to generate new images of those subjects with a text prompt. 
+
+For example, one can use these techniques to generate images of themselves, using as little as one reference image. These include teaching the model a new concept both in a training-free manner or through fine-tuning.
 
 ## Inference
 
@@ -65,11 +79,14 @@ await inference.textToImage({
 - [Introducing Würstchen: Fast Diffusion for Image Generation](https://huggingface.co/blog/wuerstchen)
 - [Efficient Controllable Generation for SDXL with T2I-Adapters](https://huggingface.co/blog/t2i-sdxl-adapters)
 - [Welcome aMUSEd: Efficient Text-to-Image Generation](https://huggingface.co/blog/amused)
+- Image Editing Demos: [LEDITS++](https://huggingface.co/spaces/editing-images/leditsplusplus), [Turbo Edit](https://huggingface.co/spaces/turboedit/turbo_edit), [InstructPix2Pix](https://huggingface.co/spaces/timbrooks/instruct-pix2pix), [CosXL](https://huggingface.co/spaces/multimodalart/cosxl)
+- Training free Personalization Demos: [Face-to-All](https://huggingface.co/spaces/multimodalart/face-to-all), [InstantStyle](https://huggingface.co/spaces/InstantX/InstantStyle), [RB-modulation](https://huggingface.co/spaces/fffiloni/RB-Modulation), [Photomaker v2](https://huggingface.co/spaces/TencentARC/PhotoMaker-V2)
 
 ### Model Fine-tuning
 
 - [Finetune Stable Diffusion Models with DDPO via TRL](https://huggingface.co/blog/pref-tuning)
 - [LoRA training scripts of the world, unite!](https://huggingface.co/blog/sdxl_lora_advanced_script)
 - [Using LoRA for Efficient Stable Diffusion Fine-Tuning](https://huggingface.co/blog/lora)
+- LoRA fine tuning Spaces: [FLUX.1 finetuning](https://huggingface.co/spaces/autotrain-projects/train-flux-lora-ease), [SDXL finetuning](https://huggingface.co/spaces/multimodalart/lora-ease)
 
 This page was made possible thanks to the efforts of [Ishan Dutta](https://huggingface.co/ishandutta), [Enrique Elias Ubaldo](https://huggingface.co/herrius) and [Oğuz Akif](https://huggingface.co/oguzakif).
@@ -92,7 +92,7 @@ const taskData: TaskDataCustom = {
 		},
 	],
 	summary:
-		"Generates images from input text. These models can be used to generate and modify images based on text prompts.",
+		"Text-to-image is the task of generating images from input text. These pipelines can also be used modify and edit images based on text prompts.",
 	widgetModels: ["black-forest-labs/FLUX.1-dev"],
 	youtubeId: "",
 };