Image-to-Image
Diffusers
Safetensors
flux
semantic-segmentation
instance-segmentation
referring-segmentation
depth-estimation
surface-normal-estimation
image-editing
text-to-image
Instructions to use FunAILab/Open-Vision-Banana with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use FunAILab/Open-Vision-Banana 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("FunAILab/Open-Vision-Banana", 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] - Notebooks
- Google Colab
- Kaggle
Upload
Browse files
ablation_models/f2kbase4b_lora_zeroshot_ablations/manifest.jsonl
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{"arm": "r64", "rank": 64, "alpha": 64, "step": 25000, "path": "ablation_models/f2kbase4b_lora_zeroshot_ablations/r64/checkpoint-25000/pytorch_lora_weights.safetensors", "bytes": 406289568}
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{"arm": "r64", "rank": 64, "alpha": 64, "step": 37500, "path": "ablation_models/f2kbase4b_lora_zeroshot_ablations/r64/checkpoint-37500/pytorch_lora_weights.safetensors", "bytes": 406289568}
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{"arm": "r64", "rank": 64, "alpha": 64, "step": 50000, "path": "ablation_models/f2kbase4b_lora_zeroshot_ablations/r64/checkpoint-50000/pytorch_lora_weights.safetensors", "bytes": 406289568}
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{"arm": "r64", "rank": 64, "alpha": 64, "step": 75000, "path": "ablation_models/f2kbase4b_lora_zeroshot_ablations/r64/checkpoint-75000/pytorch_lora_weights.safetensors", "bytes": 406289568}
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{"arm": "r64", "rank": 64, "alpha": 64, "step": 100000, "path": "ablation_models/f2kbase4b_lora_zeroshot_ablations/r64/checkpoint-100000/pytorch_lora_weights.safetensors", "bytes": 406289568}
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{"arm": "r128", "rank": 128, "alpha": 128, "step": 25000, "path": "ablation_models/f2kbase4b_lora_zeroshot_ablations/r128/checkpoint-25000/pytorch_lora_weights.safetensors", "bytes": 812547480}
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{"arm": "r128", "rank": 128, "alpha": 128, "step": 37500, "path": "ablation_models/f2kbase4b_lora_zeroshot_ablations/r128/checkpoint-37500/pytorch_lora_weights.safetensors", "bytes": 812547480}
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{"arm": "r128", "rank": 128, "alpha": 128, "step": 50000, "path": "ablation_models/f2kbase4b_lora_zeroshot_ablations/r128/checkpoint-50000/pytorch_lora_weights.safetensors", "bytes": 812547480}
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{"arm": "r128", "rank": 128, "alpha": 128, "step": 75000, "path": "ablation_models/f2kbase4b_lora_zeroshot_ablations/r128/checkpoint-75000/pytorch_lora_weights.safetensors", "bytes": 812547480}
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{"arm": "r128", "rank": 128, "alpha": 128, "step": 100000, "path": "ablation_models/f2kbase4b_lora_zeroshot_ablations/r128/checkpoint-100000/pytorch_lora_weights.safetensors", "bytes": 812547480}
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{"arm": "r256", "rank": 256, "alpha": 256, "step": 25000, "path": "ablation_models/f2kbase4b_lora_zeroshot_ablations/r256/checkpoint-25000/pytorch_lora_weights.safetensors", "bytes": 1625063072}
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{"arm": "r256", "rank": 256, "alpha": 256, "step": 37500, "path": "ablation_models/f2kbase4b_lora_zeroshot_ablations/r256/checkpoint-37500/pytorch_lora_weights.safetensors", "bytes": 1625063072}
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{"arm": "r256", "rank": 256, "alpha": 256, "step": 50000, "path": "ablation_models/f2kbase4b_lora_zeroshot_ablations/r256/checkpoint-50000/pytorch_lora_weights.safetensors", "bytes": 1625063072}
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{"arm": "r256", "rank": 256, "alpha": 256, "step": 75000, "path": "ablation_models/f2kbase4b_lora_zeroshot_ablations/r256/checkpoint-75000/pytorch_lora_weights.safetensors", "bytes": 1625063072}
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{"arm": "r256", "rank": 256, "alpha": 256, "step": 100000, "path": "ablation_models/f2kbase4b_lora_zeroshot_ablations/r256/checkpoint-100000/pytorch_lora_weights.safetensors", "bytes": 1625063072}
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{"arm": "r512", "rank": 512, "alpha": 512, "step": 37500, "path": "ablation_models/f2kbase4b_lora_zeroshot_ablations/r512/checkpoint-37500/pytorch_lora_weights.safetensors", "bytes": 3250093840}
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{"arm": "r1024", "rank": 1024, "alpha": 1024, "step": 37500, "path": "ablation_models/f2kbase4b_lora_zeroshot_ablations/r1024/checkpoint-37500/pytorch_lora_weights.safetensors", "bytes": 6500155408}
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ablation_models/f2kbase4b_lora_zeroshot_ablations/manifest.md
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# LoRA rank and training-length sweep (FLUX.2-Klein base-4B, zero-shot pool)
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| Arm | Rank | Alpha | Step | Adapter path | Size (MB) |
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| r64 | 64 | 64 | 25000 | ablation_models/f2kbase4b_lora_zeroshot_ablations/r64/checkpoint-25000/pytorch_lora_weights.safetensors | 406 |
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| r64 | 64 | 64 | 37500 | ablation_models/f2kbase4b_lora_zeroshot_ablations/r64/checkpoint-37500/pytorch_lora_weights.safetensors | 406 |
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| r64 | 64 | 64 | 50000 | ablation_models/f2kbase4b_lora_zeroshot_ablations/r64/checkpoint-50000/pytorch_lora_weights.safetensors | 406 |
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| r64 | 64 | 64 | 75000 | ablation_models/f2kbase4b_lora_zeroshot_ablations/r64/checkpoint-75000/pytorch_lora_weights.safetensors | 406 |
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| r64 | 64 | 64 | 100000 | ablation_models/f2kbase4b_lora_zeroshot_ablations/r64/checkpoint-100000/pytorch_lora_weights.safetensors | 406 |
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| r128 | 128 | 128 | 25000 | ablation_models/f2kbase4b_lora_zeroshot_ablations/r128/checkpoint-25000/pytorch_lora_weights.safetensors | 813 |
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| r128 | 128 | 128 | 37500 | ablation_models/f2kbase4b_lora_zeroshot_ablations/r128/checkpoint-37500/pytorch_lora_weights.safetensors | 813 |
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| r128 | 128 | 128 | 50000 | ablation_models/f2kbase4b_lora_zeroshot_ablations/r128/checkpoint-50000/pytorch_lora_weights.safetensors | 813 |
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| r128 | 128 | 128 | 75000 | ablation_models/f2kbase4b_lora_zeroshot_ablations/r128/checkpoint-75000/pytorch_lora_weights.safetensors | 813 |
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| r128 | 128 | 128 | 100000 | ablation_models/f2kbase4b_lora_zeroshot_ablations/r128/checkpoint-100000/pytorch_lora_weights.safetensors | 813 |
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| r256 | 256 | 256 | 25000 | ablation_models/f2kbase4b_lora_zeroshot_ablations/r256/checkpoint-25000/pytorch_lora_weights.safetensors | 1625 |
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| r256 | 256 | 256 | 37500 | ablation_models/f2kbase4b_lora_zeroshot_ablations/r256/checkpoint-37500/pytorch_lora_weights.safetensors | 1625 |
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| r256 | 256 | 256 | 50000 | ablation_models/f2kbase4b_lora_zeroshot_ablations/r256/checkpoint-50000/pytorch_lora_weights.safetensors | 1625 |
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| r256 | 256 | 256 | 75000 | ablation_models/f2kbase4b_lora_zeroshot_ablations/r256/checkpoint-75000/pytorch_lora_weights.safetensors | 1625 |
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| r256 | 256 | 256 | 100000 | ablation_models/f2kbase4b_lora_zeroshot_ablations/r256/checkpoint-100000/pytorch_lora_weights.safetensors | 1625 |
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| r512 | 512 | 512 | 37500 | ablation_models/f2kbase4b_lora_zeroshot_ablations/r512/checkpoint-37500/pytorch_lora_weights.safetensors | 3250 |
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| r1024 | 1024 | 1024 | 37500 | ablation_models/f2kbase4b_lora_zeroshot_ablations/r1024/checkpoint-37500/pytorch_lora_weights.safetensors | 6500 |
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