Text-to-Image
Diffusers
TensorBoard
diffusers-training
dora
template:sd-lora
stable-diffusion-xl
stable-diffusion-xl-diffusers
Instructions to use fatimaaa1/model2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use fatimaaa1/model2 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("fatimaaa1/model2", dtype=torch.bfloat16, device_map="cuda") prompt = "a bussiness card" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 43186a4431536b708c79741c41245ba5fff101043fe8d1be566b0d3213de9929
- Size of remote file:
- 15 MB
- SHA256:
- 637188bb0c997183aca2545a33492a28ba6feba4b42d71ad31b6d467a6f396ce
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