Instructions to use JingyeChen22/textdiffuser2-lora-ft with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use JingyeChen22/textdiffuser2-lora-ft with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("JingyeChen22/textdiffuser2-lora-ft", 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:
- 0d6e955e212b52cbf64adf472bfdfe3ac0fe835f28b43eea49ec552edf4ee555
- Size of remote file:
- 21.8 kB
- SHA256:
- 2599d4a114c7ab5cb8ef9f5da6c9ddde476965e32385239eaa9735f359b853c6
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