Instructions to use bghira/pseudo-flex-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use bghira/pseudo-flex-base with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("bghira/pseudo-flex-base", 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:
- 16588b95d6ad35306eeb7305062b0f5f2922a424de5cd5a0b9746d151e4a7ffd
- Size of remote file:
- 1.66 MB
- SHA256:
- bf47584aa3bfe74f709b9ee2f709ea0119bf6a7c4ca826f68c5fe6483fb27445
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