Instructions to use Deepfocus/newmodel with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Deepfocus/newmodel with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("CompVis/stable-diffusion-v1-4", torch_dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("Deepfocus/newmodel") prompt = "a photo of sks dog" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- ca15b45ad21884f9434510c51bf85e95f5487188f6679afeb730cd2cb869bd44
- Size of remote file:
- 3.29 MB
- SHA256:
- 17346dc6500529f542fd9ad9fe68d697700e2d8d0dd624cb94163f8f0dd515cf
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