Instructions to use ItsJayQz/BreathOfTheWild_Diffusion with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use ItsJayQz/BreathOfTheWild_Diffusion with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("ItsJayQz/BreathOfTheWild_Diffusion", 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 ItsJayQz/BreathOfTheWild_Diffusion: direct link, hf CLI and curl.
- Browser
- Download file 492 MB
-
https://huggingface.co/ItsJayQz/BreathOfTheWild_Diffusion/resolve/main/text_encoder/pytorch_model.bin
- Command line
-
hf download hf://ItsJayQz/BreathOfTheWild_Diffusion/text_encoder/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/ItsJayQz/BreathOfTheWild_Diffusion/resolve/main/text_encoder/pytorch_model.bin
492 MB
- Xet hash:
- 1c06bce81a7ff227cd62575880213d0f489c3d1ff4047539f2defc7c7cf0f51d
- Size of remote file:
- 492 MB
- SHA256:
- 0a39425c8facf202ca0a6ec1644f290eb94345e3a5494dbd0a5af12177a39993
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