Image-to-Image
Diffusers
pathology
microscopy
image-segmentation
instance-segmentation
lora
qwen-image-edit
Instructions to use Biogod/spatial-banana with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Biogod/spatial-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("Qwen/Qwen-Image-Edit-2511", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("Biogod/spatial-banana") 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
- Local Apps Settings
- Draw Things
Archive Data-Frontier final adapters
Browse files
experiments/nuclei/data_frontier256_v1/runs/nuclei_data_frontier_broad_balanced256_v1/final/pytorch_lora_weights.safetensors
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oid sha256:06af9fa0ce5d49c7ac26731068c7a8b6fcf6a9b6bd186b51563fff70c4e1856c
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experiments/nuclei/data_frontier256_v1/runs/nuclei_data_frontier_quality_ranked256_v1/final/pytorch_lora_weights.safetensors
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oid sha256:83bd8643ead5bfb8a9921aa55b2d8aff6c6fd11229fe7f31f540644b52859c36
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size 849944440
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