Instructions to use JingyeChen22/textdiffuser2-full-ft with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use JingyeChen22/textdiffuser2-full-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-full-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
Commit History
Create model_index.json b575351 verified
Delete layout_planner_m1 24c6376
Upload gray256.jpg 7d4a9c4
Upload architecture.jpg 9aab1c1
update m1 9b2a253
upload textdiffuser2 ckpt 8bb5f70
initial commit 4174c3a
JingyeChen22 commited on