Instructions to use hjgp/basekitXL08 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use hjgp/basekitXL08 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("hjgp/basekitXL08", 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
- Draw Things
- DiffusionBee
- Xet hash:
- 7809abaffb3f6eec8a9188af9301d842c605e2adb346519fd898a6653a25526f
- Size of remote file:
- 335 MB
- SHA256:
- 4b80f2539240f14ee6c9c8dd78bcfadc754e72d7e971fc960a02cde99494dfa1
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