Instructions to use ayan1988/diffusion.2.textual_inversion with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use ayan1988/diffusion.2.textual_inversion with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("ayan1988/diffusion.2.textual_inversion", 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:
- d45b6f40a171ccd645c099a59c4c3dee5e92a2cb8767a1635a48a32c02f2f1c9
- Size of remote file:
- 492 MB
- SHA256:
- 1d19acdd977e050632b07e06caf2500a58d23734bf7bdce5cf556c48a861043c
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