Instructions to use layerdifforg/seethroughv0.0.2_layerdiff3d with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use layerdifforg/seethroughv0.0.2_layerdiff3d with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("layerdifforg/seethroughv0.0.2_layerdiff3d", 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 model_index.json
Browse files- model_index.json +0 -8
model_index.json
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"transformers",
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"CLIPTokenizer"
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],
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"trans_vae": [
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"modules.layerdiffuse.vae",
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"TransparentVAE"
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],
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"unet": [
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"modules.layerdiffuse.layerdiff3d",
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"UNetFrameConditionModel"
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],
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"vae": [
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"diffusers",
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"AutoencoderKL"
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"transformers",
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"CLIPTokenizer"
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],
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"vae": [
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"diffusers",
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"AutoencoderKL"
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