Instructions to use PlixAI/BitDiffusionV0.1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use PlixAI/BitDiffusionV0.1 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("PlixAI/BitDiffusionV0.1", dtype=torch.bfloat16, device_map="cuda") prompt = "Three cow grazing in a bay window" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
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README.md
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Resolution: 1024x1024
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## Use it with 🧨 diffusers
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```python
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import torch
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Resolution: 1024x1024
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**For best results, set a negative_prompt**
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## Use it with 🧨 diffusers
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```python
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import torch
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