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
- Xet hash:
- be7630521e0bbc0c5cf85c25ffe86ea4697bc7662702b816e7ecc1bb4bc71533
- Size of remote file:
- 21.8 kB
- SHA256:
- 0827f1abef6217b1c6f988db067c391b0513d5b206649da5fb195e84fcea3a29
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