Instructions to use FireRedTeam/FireRed-Image-Edit-1.0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use FireRedTeam/FireRed-Image-Edit-1.0 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("FireRedTeam/FireRed-Image-Edit-1.0", 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] - Inference
- Notebooks
- Google Colab
- Kaggle
Commit History
18 days ago
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Add VDEBench evaluation results
Verified signatureHi 👋 this PR adds this model's **[VDEBench](https://huggingface.co/datasets/hongzhuyi/VDEBench)** scores to `.eval_results/`, so they show up on the model page and on the VDEBench leaderboard. VDEBench evaluates instruction-guided editing of dense English/Chinese document pages (3,506 examples). Each score is the equally weighted mean of IoU, CDM, BLEU-4 and TEDS (0–1, higher is better): | Task | Score | |---|---:| | `local` (edited region, headline) | 0.690 | | `global` (full page) | 0.748 | Scores come from the VDEBench paper ([arXiv:2602.00122v4](https://arxiv.org/abs/2602.00122v4), Table 2), and the VDEBench authors confirmed both the values and the evaluated checkpoint ([discussion](https://huggingface.co/datasets/hongzhuyi/VDEBench/discussions/2)). While this PR is open the scores appear as community-provided; merging it makes them official, and closing it removes them. Docs: https://huggingface.co/docs/hub/eval-results · https://huggingface.co/docs/hub/leaderboard-data-guid…c04beee
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fix: inference parameters
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fix weights link
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chore: add license and language
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docs: update modelcard
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docs: create modelcard
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Add files using upload-large-folder tool
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Add files using upload-large-folder tool
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initial commit
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