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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pip install qwen-vl-utils==0.0.14
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We Provide an example code running ETCHR on [DL3DV-2K Benchmark](https://huggingface.co/datasets/internlm/DL3DV-2k) in
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**Step 1:** start a VLLM server for an understanding model (eg. Qwen3-VL-8B, Kimi K2.5, ...).
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```bash
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If you find this project useful, please kindly cite:
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pip install qwen-vl-utils==0.0.14
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```
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We Provide an example code running ETCHR on [DL3DV-2K Benchmark](https://huggingface.co/datasets/internlm/DL3DV-2k) in [Evaluation/inference_dl3dv.py](https://github.com/InternLM/ETCHR/blob/master/Evaluation/inference_dl3dv.py), you can start the evaluation with the following two steps:
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**Step 1:** start a VLLM server for an understanding model (eg. Qwen3-VL-8B, Kimi K2.5, ...).
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```bash
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If you find this project useful, please kindly cite:
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```
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## ❤️ Acknowledgement
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The base model is [FLUX.2-klein-base-9B](https://huggingface.co/black-forest-labs/FLUX.2-klein-base-9B), a powerful image-to-image model.
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The work is built upon <a href="https://github.com/modelscope/DiffSynth-Studio">DiffSynth-Studio</a > and <a href="https://github.com/CodeGoat24/Pref-GRPO">Pref-GRPO</a >, two excellent codebases for Diffusion models training!
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