Instructions to use xFutureTechx/SD15-June-JulyBackups2023 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use xFutureTechx/SD15-June-JulyBackups2023 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("xFutureTechx/SD15-June-JulyBackups2023", torch_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
- Xet hash:
- f41823f07358d60b0a202e73ed6c0c605edfd11a7bfb9f2f6ed9d4e5353b7894
- Size of remote file:
- 2.13 GB
- SHA256:
- 96bb84cba642f42dd85f5e860dc30cfc7347d81fbea6ea9ecb7d82ad2af43a25
ยท
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