Instructions to use mozci/typestablediff with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use mozci/typestablediff with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("stabilityai/stable-diffusion-2", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("mozci/typestablediff") 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:
- 194d8d6c2c53a71fcea6e3f4ff70e29cd460ff3a71c0661c7c3d90091b14dafc
- Size of remote file:
- 6.85 MB
- SHA256:
- a2929ed6ec4c7285cbc73032c869c97d68ac0fe80404150c3818084e406368da
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