Instructions to use RareConcepts/pseudo-flex-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use RareConcepts/pseudo-flex-v2 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("RareConcepts/pseudo-flex-v2", 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:
- 51f679882d7d993addf7712de4bf234105f053bd2e5ebe241c6403d64bd13b9b
- Size of remote file:
- 5.2 GB
- SHA256:
- c54e48a4dcb79bbaf015135f40e3a26886bf5c266c73551e99a5733bdb48c3fb
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