retvrn

README.md

@@ -31,37 +31,6 @@ The FLUX.1 models are also available via API from the following sources
 ## ComfyUI
 `FLUX.1 [schnell]` is also available in [Comfy UI](https://github.com/comfyanonymous/ComfyUI) for local inference with a node-based workflow.
 
-## Diffusers
-
-To use Flux with the 🧨 diffusers python library, first install or upgrade diffusers
-
-```shell
-pip install diffusers@git+https://github.com/huggingface/diffusers.git
-```
-
-Then you can use `FluxPipeline` to run the model
-
-```python
-import torch
-from diffusers import FluxPipeline
-
-pipe = FluxPipeline.from_pretrained("black-forest-labs/FLUX.1-schnell", torch_dtype=torch.bfloat16)
-pipe.enable_model_cpu_offload() #save some VRAM by offloading the model to CPU. Remove this if you have enough GPU power
-
-prompt = "A cat holding a sign that says hello world"
-image = pipe(
-    prompt,
-    guidance_scale=0.0,
-    output_type="pil",
-    num_inference_steps=4,
-    max_sequence_length=256,
-    generator=torch.Generator("cpu").manual_seed(0)
-).images[0]
-image.save("flux-schnell.png")
-```
-
-To learn mode check out the [diffusers](https://huggingface.co/docs/diffusers/main/en/api/pipelines/flux) documentation
-
 ---
 # Limitations
 - This model is not intended or able to provide factual information.