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 Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 8abd480eb864f4ed3bebd34fe850c500fc359b3a31de11a5b1c28d6bfec14a5f
- Size of remote file:
- 15 MB
- SHA256:
- a242f2cc609d9c6371a051cd0cae0383ecb265404d08ef5b266f7a0a614a69f1
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