Flux Kontext

docs/source/en/api/pipelines/flux.md

@@ -39,6 +39,7 @@ Flux comes in the following variants:
 | Canny Control (LoRA) | [`black-forest-labs/FLUX.1-Canny-dev-lora`](https://huggingface.co/black-forest-labs/FLUX.1-Canny-dev-lora) |
 | Depth Control (LoRA) | [`black-forest-labs/FLUX.1-Depth-dev-lora`](https://huggingface.co/black-forest-labs/FLUX.1-Depth-dev-lora) |
 | Redux (Adapter) | [`black-forest-labs/FLUX.1-Redux-dev`](https://huggingface.co/black-forest-labs/FLUX.1-Redux-dev) |
+| Kontext | [`black-forest-labs/FLUX.1-kontext`](https://huggingface.co/black-forest-labs/FLUX.1-kontext) |
 
 All checkpoints have different usage which we detail below.
 
@@ -273,6 +274,46 @@ images = pipe(
 images[0].save("flux-redux.png")
 ```
 
+### Kontext
+
+Flux Kontext is a model that allows in-context control of the image generation process, allowing for editing, refinement, relighting, style transfer, character customization, and more.
+
+```python
+import torch
+from diffusers import FluxKontextPipeline
+from diffusers.utils import load_image
+
+pipe = FluxKontextPipeline.from_pretrained(
+    "black-forest-labs/FLUX.1-kontext", transformer=transformer, torch_dtype=torch.bfloat16
+)
+pipe.to("cuda")
+
+image = load_image("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/diffusers/yarn-art-pikachu.png").convert("RGB")
+prompt = "Make Pikachu hold a sign that says 'Black Forest Labs is awesome', yarn art style, detailed, vibrant colors"
+image = pipe(
+    image=image,
+    prompt=prompt,
+    guidance_scale=2.5,
+    generator=torch.Generator().manual_seed(42),
+).images[0]
+image.save("flux-kontext.png")
+```
+
+Flux Kontext comes with an integrity safety checker, which should be run after the image generation step. To run the safety checker, install the official repository from [black-forest-labs/Flux-Kontext](https://github.com/black-forest-labs/Flux-Kontext) and add the following code:
+
+```python
+from flux.safety import PixtralIntegrity
+
+# ... pipeline invocation to generate images
+
+integrity_checker = PixtralIntegrity(torch.device("cuda"))
+image_ = np.array(image) / 255.0
+image_ = 2 * image_ - 1
+image_ = torch.from_numpy(image_).to("cuda", dtype=torch.float32).unsqueeze(0).permute(0, 3, 1, 2)
+if integrity_checker.test_image(image_):
+    raise ValueError("Your image has been flagged. Choose another prompt/image or try again.")
+```
+
 ## Combining Flux Turbo LoRAs with Flux Control, Fill, and Redux
 
 We can combine Flux Turbo LoRAs with Flux Control and other pipelines like Fill and Redux to enable few-steps' inference. The example below shows how to do that for Flux Control LoRA for depth and turbo LoRA from [`ByteDance/Hyper-SD`](https://hf.co/ByteDance/Hyper-SD).

src/diffusers/__init__.py

@@ -381,6 +381,7 @@
             "FluxFillPipeline",
             "FluxImg2ImgPipeline",
             "FluxInpaintPipeline",
+            "FluxKontextPipeline",
             "FluxPipeline",
             "FluxPriorReduxPipeline",
             "HiDreamImagePipeline",
@@ -974,6 +975,7 @@
             FluxFillPipeline,
             FluxImg2ImgPipeline,
             FluxInpaintPipeline,
+            FluxKontextPipeline,
             FluxPipeline,
             FluxPriorReduxPipeline,
             HiDreamImagePipeline,

src/diffusers/pipelines/__init__.py

@@ -140,6 +140,7 @@
         "FluxFillPipeline",
         "FluxPriorReduxPipeline",
         "ReduxImageEncoder",
+        "FluxKontextPipeline",
     ]
     _import_structure["audioldm"] = ["AudioLDMPipeline"]
     _import_structure["audioldm2"] = [
@@ -609,6 +610,7 @@
             FluxFillPipeline,
             FluxImg2ImgPipeline,
             FluxInpaintPipeline,
+            FluxKontextPipeline,
             FluxPipeline,
             FluxPriorReduxPipeline,
             ReduxImageEncoder,

src/diffusers/pipelines/flux/__init__.py

@@ -33,6 +33,7 @@
     _import_structure["pipeline_flux_fill"] = ["FluxFillPipeline"]
     _import_structure["pipeline_flux_img2img"] = ["FluxImg2ImgPipeline"]
     _import_structure["pipeline_flux_inpaint"] = ["FluxInpaintPipeline"]
+    _import_structure["pipeline_flux_kontext"] = ["FluxKontextPipeline"]
     _import_structure["pipeline_flux_prior_redux"] = ["FluxPriorReduxPipeline"]
 if TYPE_CHECKING or DIFFUSERS_SLOW_IMPORT:
     try:
@@ -52,6 +53,7 @@
         from .pipeline_flux_fill import FluxFillPipeline
         from .pipeline_flux_img2img import FluxImg2ImgPipeline
         from .pipeline_flux_inpaint import FluxInpaintPipeline
+        from .pipeline_flux_kontext import FluxKontextPipeline
         from .pipeline_flux_prior_redux import FluxPriorReduxPipeline
 else:
     import sys