Text-to-Image
Diffusers
Safetensors
flow-matching
pyramidal-unet
latent-diffusion
asym-vae
from-scratch
ra
udit
Instructions to use AiArtLab/ra2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use AiArtLab/ra2 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("AiArtLab/ra2", 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
- Local Apps Settings
- Draw Things
- DiffusionBee
Download vae/diffusion_pytorch_model.safetensors from AiArtLab/ra2: direct link, hf CLI and curl.
- Browser
- Download file 192 MB
-
https://huggingface.co/AiArtLab/ra2/resolve/main/vae/diffusion_pytorch_model.safetensors
- Command line
-
hf download hf://AiArtLab/ra2/vae/diffusion_pytorch_model.safetensors
-
curl -L -o diffusion_pytorch_model.safetensors https://huggingface.co/AiArtLab/ra2/resolve/main/vae/diffusion_pytorch_model.safetensors
192 MB
- Xet hash:
- 43610ac6351ae1d6f0331d0c37d7ba3926f3c76730d77783a10954cbb5ee60cf
- Size of remote file:
- 192 MB
- SHA256:
- b11f911599c8f066158206726e7adf8882649e15e6275868f0f435f3b914c00a
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