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:
- 33d9d09b61d7ea87c0adcade49e09dfd1ff2527a22156847902d6ab8dbca61c5
- Size of remote file:
- 246 MB
- SHA256:
- 41f5e61915f8e7a5a9121c345dc432c7b4f09538dbefec72d38920feaf758dbb
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