Instructions to use Brainergy/zzuurryy with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Brainergy/zzuurryy with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Brainergy/zzuurryy", 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 Brainergy/zzuurryy: direct link, hf CLI and curl.
- Browser
- Download file 681 MB
-
https://huggingface.co/Brainergy/zzuurryy/resolve/main/text_encoder/pytorch_model.bin
- Command line
-
hf download hf://Brainergy/zzuurryy/text_encoder/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/Brainergy/zzuurryy/resolve/main/text_encoder/pytorch_model.bin
681 MB
- Xet hash:
- b9e39e091ed3ac9385bf053df7f684915dfec6907b1ccb62681ee32e2659084e
- Size of remote file:
- 681 MB
- SHA256:
- 6f52603979b8a40040ca79de4d2c9eecc0cb78d1f3a0c3a7b4bb86c0411aee96
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