Instructions to use ItsJayQz/Firewatch_Diffusion with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use ItsJayQz/Firewatch_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/Firewatch_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
- Xet hash:
- d42332629af540a8a49205e6f758b1e073e5b21d2d1f08b3e2f048e4519fcfb1
- Size of remote file:
- 492 MB
- SHA256:
- 134971fbcb9659069556b48cb6f74d8faa07a607487fc234514d4d279d25eba0
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