Text-to-Image
Diffusers
Safetensors
StableDiffusionPipeline
dreambooth
diffusers-training
stable-diffusion
stable-diffusion-diffusers
Instructions to use evanscho/davi-tests with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use evanscho/davi-tests with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("evanscho/davi-tests", dtype=torch.bfloat16, device_map="cuda") prompt = "a photo of daiton person" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
- Xet hash:
- 57ac5c0de350e3f262cedec59ee12a2403cc887ac1bc370857e4ef43af85536f
- Size of remote file:
- 1 kB
- SHA256:
- 511502cb8e486bc7704b13f50561c780285bc0785605731cccd9a6fe2798bb6b
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