Text-to-Image
Diffusers
TensorBoard
StableDiffusionPipeline
stable-diffusion
stable-diffusion-diffusers
dreambooth
Instructions to use demelianov/model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use demelianov/model with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("demelianov/model", dtype=torch.bfloat16, device_map="cuda") prompt = "a photo of sks person" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- c21854c8eed105870b6d50bc91b84d17e8681135039c5f1439acd01799be02cf
- Size of remote file:
- 335 MB
- SHA256:
- 1b01618945554d9840701d3453d4a9fe3db0db090164a5ed6305641306285b6f
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