Instructions to use Antraxas/test1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Antraxas/test1 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Antraxas/test1", 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
Ctrl+K
- feature_extractor
- safety_checker
- scheduler
- text_encoder
- tokenizer
- unet
- vae
- 1.48 kB
- 3.85 GB xet
- 1.97 GB xet
- 26 Bytes
- 2.13 GB xet
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- 4.27 GB xet
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- 584 Bytes
- 1.97 GB xet
- 4.27 GB xet
- 1.97 GB xet
- 1.97 GB xet
- 1.97 GB xet
- 5.67 GB xet
- 4.24 GB xet
- 4.27 GB xet
- 2.84 GB xet
- 2.84 GB xet
- 2.13 GB xet
- 2.13 GB xet
- 4.27 GB xet
- 4.27 GB xet
- 4.27 GB xet
- 2.13 GB xet
- 2.13 GB xet
- 2.13 GB xet
- 2.13 GB xet
- 2.13 GB xet
- 4.27 GB xet