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
Commit History
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Add `scale_factor` to vae config. (#2)
- Add `scale_factor` to vae config. (0e176043f9a16075d989c4d00aeccb56faa76d98) Co-authored-by: Suraj Patil <valhalla@users.noreply.huggingface.co>4d3dcc1
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Adding `safetensors` variant of this model (#1)
- Adding `safetensors` variant of this model (e1856a545ce5f0961d83c4dc6eb40ad41faac99e)316f4ca -
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