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
- Xet hash:
- 4b2f65fa71cd88899932f65e6e631f99cbbf4a3a1cc08389954007d01cbf41fe
- Size of remote file:
- 1.39 GB
- SHA256:
- 2b07886834b797915f600e7a587cbdc853e645ee165a5a830bd2ad4c5f00b09c
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