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", 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:
- 772bf3dc4523c40dc66e9005c1e858f68db5472c123b2af711b9256e7b7adbcd
- Size of remote file:
- 4.27 GB
- SHA256:
- ddcff979019e41b9ccda945927c9eb2c6ba08c9fa7ebb0831862ea336f19f6a8
ยท
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