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 Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 486bb7ef2635b9dd33bcc2b0b411c36184730cec21d4adf40ab5dad93647ff10
- Size of remote file:
- 499 MB
- SHA256:
- ac2be640c85bdfc4b75c41386539d819128f071e1e6bb3be15c109bd0eab96b3
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