Text-to-Image
Diffusers
TensorBoard
Safetensors
stable-diffusion
stable-diffusion-diffusers
custom-diffusion
Instructions to use SidXXD/attack_Loss_cos_man with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use SidXXD/attack_Loss_cos_man 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/attack_Loss_cos_man", dtype=torch.bfloat16, device_map="cuda") prompt = "photo of a <v1*> man" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
| [{"instance_prompt": "photo of a <v1*> man", "class_prompt": null, "instance_data_dir": "/home/xide/miniconda3/code/diffusers/examples/custom_diffusion/model/ECCV/perturbed_images/understanding/attack_Loss_cos-man_1/final_img-EA-cos", "class_data_dir": null}] |