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 Settings
- Draw Things
- DiffusionBee
Bagheera Bghira
24150 steps: mj-60, text-1mp, anatomy, cinemamix, photo-aesthetics, shutterstock, sports, yoga, n1024
6a094b1 - Xet hash:
- fde1c02177a482cafd6281440ed9e73e3c472f601601030df443a611fef36d65
- Size of remote file:
- 737 Bytes
- SHA256:
- 19d7b034cb0cc3ce9766c2231373ab8aa8991fc72e2c8f76558bfaae3de0d563
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.