Text-to-Image
Diffusers
TensorBoard
StableDiffusionPipeline
stable-diffusion
stable-diffusion-diffusers
dreambooth
Instructions to use anic87/normal with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use anic87/normal with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("anic87/normal", torch_dtype=torch.bfloat16, device_map="cuda") prompt = "a photo of sks pathology-image" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- aa012a00c4b7ccfa1d157621a4fe59cc183760e33add7c417bc1f3a3d345c758
- Size of remote file:
- 3.44 GB
- SHA256:
- 52d2d3a33c6af543a75a3e597fe37267dbcb4b8f4778cc67d1066cc877feda0d
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