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Cubemap-guided diffusion: EQR -> cubemap face -> SD Inpainting + LoRA -> re-projection.
Source du modèle
Description de la source
Cubemap-guided diffusion: EQR -> cubemap face -> SD Inpainting + LoRA -> re-projection.
Sources
1 sourceVérifié 3 août
Artefacts du modèle
1 artefactadapter_model.safetensors
safetensors · 88,8 MB · SHA-256 5f197730dcef…aa84 · Hugging Face
TéléchargerExtraits de sources
2 extraits--- license: mit tags: [diffusion, inpainting, 360-panorama, nadir-removal, memo-insertion, lora] pipeline_tag: image-to-image library_name: diffusers base_model: diffusers/stable-diffusion-xl-1.0-inpainting-0.1 --- # CubeInpaint360: Multi-Task 360 Editing (Nadir + Memo) Cubemap-guided diffusion: EQR -> cubemap face -> SD Inpainting + LoRA -> re-projection. | Metric | Value | |--------|-------| | PSNR | N/A | | SSIM | N/A | | LPIPS | N/A | ```python from diffusers import StableDiffusionInpaintPipeline from peft import PeftModel pipe = StableDiffusionInpaintPipeline.from_pretrained("diffusers/stable-diffusion-xl-1.0-inpainting-0.1", torch_dtype=torch.float16, safety_checker=None) pipe.unet = PeftModel.from_pretrained(pipe.unet, "hiennthp/cubeinpaint360-nadir-memo-sdxl") pipe = pipe.to("cuda") ```
| Metric | Value |
|---|
| PSNR | N/A |
| SSIM | N/A |
| LPIPS | N/A |
from diffusers import StableDiffusionInpaintPipeline
from peft import PeftModel
pipe = StableDiffusionInpaintPipeline.from_pretrained("diffusers/stable-diffusion-xl-1.0-inpainting-0.1", torch_dtype=torch.float16, safety_checker=None)
pipe.unet = PeftModel.from_pretrained(pipe.unet, "hiennthp/cubeinpaint360-nadir-memo-sdxl")
pipe = pipe.to("cuda")
Source context: 7 downloads · 0 likes · Pipeline image-to-image · Library diffusers · Repo hiennthp/cubeinpaint360-nadir-memo-sdxl