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Cubemap-guided diffusion: EQR -> cubemap face -> SD Inpainting + LoRA -> re-projection.
Fonte do modelo
Descrição da fonte
Cubemap-guided diffusion: EQR -> cubemap face -> SD Inpainting + LoRA -> re-projection.
Fontes
1 fonteVerificado 3 de ago.
Artefatos de modelo
1 artefatoTrechos de fonte
2 trechos--- license: mit tags: [diffusion, inpainting, 360-panorama, nadir-removal, memo-insertion, lora] pipeline_tag: image-to-image library_name: diffusers base_model: runwayml/stable-diffusion-inpainting --- # 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("runwayml/stable-diffusion-inpainting", torch_dtype=torch.float16, safety_checker=None) pipe.unet = PeftModel.from_pretrained(pipe.unet, "hiennthp/cubeinpaint360-nadir-memo-sd15") 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("runwayml/stable-diffusion-inpainting", torch_dtype=torch.float16, safety_checker=None)
pipe.unet = PeftModel.from_pretrained(pipe.unet, "hiennthp/cubeinpaint360-nadir-memo-sd15")
pipe = pipe.to("cuda")
Source context: 5 downloads · 0 likes · Pipeline image-to-image · Library diffusers · Repo hiennthp/cubeinpaint360-nadir-memo-sd15