Instructions to use Asidoy432/Text-image with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Asidoy432/Text-image with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Asidoy432/Text-image", 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:
- 2ea3f3d77872814d581c1efee40d51a1629a89d69e11894dda3a6b5f0543f4c2
- Size of remote file:
- 2.74 GB
- SHA256:
- 7aa2ab6c78ef87ac3635fa01fbd2100d3defc19d71efff5f7950bc7e64837015
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