Instructions to use oaaoaa/mask_vae with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use oaaoaa/mask_vae with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("oaaoaa/mask_vae", 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
Delete config.json
Browse files- config.json +0 -30
config.json
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{
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"_class_name": "AutoencoderKL",
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"_diffusers_version": "0.0.1",
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"act_fn": "silu",
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"block_out_channels": [
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4,
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8,
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16,
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16
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],
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"down_block_types": [
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"DownEncoderBlock2D",
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"DownEncoderBlock2D",
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"DownEncoderBlock2D",
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"DownEncoderBlock2D"
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],
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"in_channels": 1,
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"latent_channels": 4,
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"layers_per_block": 2,
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"norm_num_groups": 2,
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"out_channels": 1,
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"sample_size": 256,
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"up_block_types": [
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"UpDecoderBlock2D",
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"UpDecoderBlock2D",
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"UpDecoderBlock2D",
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"UpDecoderBlock2D"
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]
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}
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