Instructions to use raldblox/astrocity with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use raldblox/astrocity with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("raldblox/astrocity", 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 text_encoder/pytorch_model.bin from raldblox/astrocity: direct link, hf CLI and curl.
- Browser
- Download file 246 MB
-
https://huggingface.co/raldblox/astrocity/resolve/refs%2Fpr%2F2/text_encoder/pytorch_model.bin
- Command line
-
hf download hf://raldblox/astrocity@refs/pr/2/text_encoder/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/raldblox/astrocity/resolve/refs%2Fpr%2F2/text_encoder/pytorch_model.bin
246 MB
- Xet hash:
- 24266d1ed632b00365f19186d6d55f9bf369e9f945e0ad7ae818ca87c4173013
- Size of remote file:
- 246 MB
- SHA256:
- 36dc262a064f8ee8b61e17880b47bc70bc0f0d5f663ee6a60e8d3b2abfb236ce
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