Text-to-3D
Diffusers
Safetensors
English
StableDiffusionLDM3DPipeline
stable-diffusion
stable-diffusion-diffusers
text-to-image
text-to-panoramic
Eval Results (legacy)
Instructions to use Intel/ldm3d-pano with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Intel/ldm3d-pano with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Intel/ldm3d-pano", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
Update vae/config.json
Browse files- vae/config.json +1 -1
vae/config.json
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"in_channels": 4,
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"latent_channels": 4,
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"layers_per_block": 2,
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"out_channels":
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"sample_size": 256,
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"scaling_factor": 0.18215,
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"up_block_types": [
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"in_channels": 4,
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"latent_channels": 4,
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"layers_per_block": 2,
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"out_channels": 4,
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"sample_size": 256,
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"scaling_factor": 0.18215,
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"up_block_types": [
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