Text-to-Image
Diffusers
TensorBoard
Safetensors
stable-diffusion
stable-diffusion-diffusers
custom-diffusion
Instructions to use SidXXD/diffusion_attack_cat_background with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use SidXXD/diffusion_attack_cat_background with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("SidXXD/diffusion_attack_cat_background", dtype=torch.bfloat16, device_map="cuda") prompt = "photo of a <v1*> cat" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 42930eb3ce42f5c9db5f626b0fb2a54ae75e6f30ff0bb09d65d6ac6bfb11302a
- Size of remote file:
- 102 MB
- SHA256:
- f0483fb80f9404d19f279f456228e28cbda77dcf0e3e9a8297f6f8dba1a7e2d3
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