Text-to-Image
Diffusers
TensorBoard
StableDiffusionPipeline
stable-diffusion
stable-diffusion-diffusers
dreambooth
Instructions to use anic87/well with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use anic87/well 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/well", dtype=torch.bfloat16, device_map="cuda") prompt = "a photo of sks well-differentiated-adenocarcinoma" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 83483ed84fd25eae6b738676caa702b6907f13564c4df56fc3c1408bab3f9fbb
- Size of remote file:
- 6.88 GB
- SHA256:
- 1bb8222efd37a44a98f1fc6385cc542af555ff58c74d1a5ae68c5cecc2cc2386
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