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
Update README.md
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README.md
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## π’ News
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- π [2026/05/22] We have released the training and evaluation code of ETCHR.
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- π [2026/05/21] We have released the [ETCHR-FLUX.2-klein-9B Model](https://huggingface.co/internlm/ETCHR-FLUX.2-klein-9B), [ETCHR-SFT-400K Dataset](https://huggingface.co/datasets/
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## π Overview
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## π’ News
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- π [2026/05/22] We have released the training and evaluation code of ETCHR.
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- π [2026/05/21] We have released the [ETCHR-FLUX.2-klein-9B Model](https://huggingface.co/internlm/ETCHR-FLUX.2-klein-9B), [ETCHR-SFT-400K Dataset](https://huggingface.co/datasets/BeichenZhang/ETCHR-SFT-400K) and [ETCHR GRPO-10K Dataset](https://huggingface.co/datasets/internlm/ETCHR-GRPO-10K).
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## π Overview
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