Instructions to use xFutureTechx/2024_Backups with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use xFutureTechx/2024_Backups 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/2024_Backups", 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
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 5f0d9aab0ae41d4c57ca864cb8a5c31e7a5ec2729540ef5c32a0527d1d2adf42
- Size of remote file:
- 2.13 GB
- SHA256:
- 7e23d4ddc1ce6eeb6faafa262af759acc1ce44c9cda7c08c1f8941ba1e68deb8
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