Instructions to use nyu-visionx/RAE-dinov2-wReg-large-ViTXL-n08 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use nyu-visionx/RAE-dinov2-wReg-large-ViTXL-n08 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("nyu-visionx/RAE-dinov2-wReg-large-ViTXL-n08", 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
Add encoder_num_hidden_layers=24 to config
#3
by kashif HF Staff - opened
- config.json +2 -2
config.json
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version https://git-lfs.github.com/spec/v1
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oid sha256:b346d08125dee2a21669e75848d7ff5f92e23061f2bea2236eef3808ccb41b76
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size 15541725
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