Instructions to use martineux/wild with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use martineux/wild with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("martineux/wild", 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:
- 20e70e99e520cbfe2bf9de13637b4b840418e2a4e09b6411715fe1d2fbcb048d
- Size of remote file:
- 167 MB
- SHA256:
- 584259fb23ef789ea62d8faf6c9e512a8d7193d1d61af058a5f5d94e993bd47d
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