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:
- f17875a3a0ecef3d02a21fafb2d0c9280d8b9dca300e2952221d0c271e443f68
- Size of remote file:
- 3.44 GB
- SHA256:
- bf1ff0139d38fd52d27bdb4c4719e97e094a8a19021ae998fc963364a7a1ee53
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