Text-to-Image
Diffusers
TensorBoard
Safetensors
StableDiffusionPipeline
dreambooth
diffusers-training
stable-diffusion
stable-diffusion-diffusers
dora
template:sd-lora
stable-diffusion-xl
stable-diffusion-xl-diffusers
Instructions to use fatimaaa1/model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use fatimaaa1/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("fatimaaa1/model", dtype=torch.bfloat16, device_map="cuda") prompt = "a bussiness card" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
- Xet hash:
- 0df89bbb197363397046c0953bc75c8537a973a78a16e220ddf81c7ba8b073b4
- Size of remote file:
- 15 MB
- SHA256:
- f247d46c9014a81dae4ebdf2ea468e3d1e034c2ea2753e01b029560cf4336206
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