Instructions to use black-forest-labs/FLUX.2-klein-9B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use black-forest-labs/FLUX.2-klein-9B with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline from diffusers.utils import load_image # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("black-forest-labs/FLUX.2-klein-9B", torch_dtype=torch.bfloat16, device_map="cuda") prompt = "Turn this cat into a dog" input_image = load_image("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/diffusers/cat.png") image = pipe(image=input_image, prompt=prompt).images[0] - Diffusion Single File
How to use black-forest-labs/FLUX.2-klein-9B with Diffusion Single File:
# No code snippets available yet for this library. # To use this model, check the repository files and the library's documentation. # Want to help? PRs adding snippets are welcome at: # https://github.com/huggingface/huggingface.js
- Inference
- Notebooks
- Google Colab
- Kaggle
- AMD Developer Cloud
Great works, thanks
It works wonderful on 40s GPU and comfyui, better than expect
It works wonderful on 40s GPU and comfyui, better than expect
how did you get it to run?? im getting constant mat1 and mat2 shape errors. its like the model isnt native to comfy and wont run with the encoders or something
It works wonderful on 40s GPU and comfyui, better than expect
how did you get it to run?? im getting constant mat1 and mat2 shape errors. its like the model isnt native to comfy and wont run with the encoders or something
you need the Qwen3 -8B model for the 9B the Qwen3-4b will only work on the 4B model
I used a Qwen3-8B GGUF model and worked fine