Comments (5)
The realisticVisionV13_v13 model is available on Hugging Face at this link: https://huggingface.co/justin759/realisticVisionV13_v13.safetensors. You can download it first and then convert it using the tools/convert_original_stable_diffusion_to_diffusers.py
script.
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The key in the config has the cvt
ending, which suggest custom training, the one that you linked doesn't seem to be custom trained, is the model choice here important? Or can we just use any sd1.5 based model?
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Excuse me, I wonder where can I find the uvpos_cvt in UV_based_inpaint_template config file? Thank you!
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Excuse me, I wonder where can I find the uvpos_cvt in UV_based_inpaint_template config file? Thank you!
You can find the model from https://huggingface.co/GeorgeQi/Paint3d_UVPos_Control
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The key in the config has the
cvt
ending, which suggest custom training, the one that you linked doesn't seem to be custom trained, is the model choice here important? Or can we just use any sd1.5 based model?
You can choose any SD1.5-based model here; some models may work better for specific styles.
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Related Issues (17)
- CODE HOT 19
- mesh.obj
- Multi-gpu support HOT 1
- Image-conditioned model rarely condition on image HOT 5
- My input obj file is different from demo obj file HOT 1
- Inconsistency in Texture Appearance Across Different Viewpoints for Building Generation
- Training Splits HOT 1
- Training code for UV-Position ControlNet
- AttributeError: 'StableDiffusionControlNetPipeline' object has no attribute 'load_ip_adapter'
- The gpu configuration Problem HOT 1
- 代码呢这么久了
- Image-condition texturing pipeline HOT 2
- Config parameters for 2k textures HOT 4
- VRAM requirements? HOT 2
- config model path HOT 2
- Stable Diffusion XL HOT 1
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