Instructions to use diffusers-test/deli_text_encoder-fluentlyxl_text_encoder-test-XL with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use diffusers-test/deli_text_encoder-fluentlyxl_text_encoder-test-XL with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("diffusers-test/deli_text_encoder-fluentlyxl_text_encoder-test-XL", 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
Rename text_encoder/pytorch_model.bin to text_encoder/old_fluV4_textEN_model.bin
Browse files
text_encoder/{pytorch_model.bin → old_fluV4_textEN_model.bin}
RENAMED
|
File without changes
|