Image-to-Image
Diffusers
Safetensors
Diffusion Single File
English
Flux2KleinPipeline
image-generation
image-editing
flux
Instructions to use internlm/ETCHR-FLUX.2-klein-9B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use internlm/ETCHR-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("internlm/ETCHR-FLUX.2-klein-9B", 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 internlm/ETCHR-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
- Notebooks
- Google Colab
- Kaggle

- Xet hash:
- 34cb18a0bb6df48725eb469cc11bc2609700412ff83d91c0e44eec1169b8ae59
- Size of remote file:
- 4.19 MB
- SHA256:
- 4f301900656029ac5fdee65f8e7de0601494bb079c340918779bf68604fa04c9
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