Text-to-Image
Diffusers
TensorBoard
Safetensors
stable-diffusion
stable-diffusion-diffusers
custom-diffusion
Instructions to use SidXXD/encoder_attack_4-eps-0157-250 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use SidXXD/encoder_attack_4-eps-0157-250 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/encoder_attack_4-eps-0157-250", dtype=torch.bfloat16, device_map="cuda") prompt = "photo of a <v1*> person" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download pytorch_custom_diffusion_weights.bin from SidXXD/encoder_attack_4-eps-0157-250: direct link, hf CLI and curl.
- Browser
- Download file 102 MB
-
https://huggingface.co/SidXXD/encoder_attack_4-eps-0157-250/resolve/main/pytorch_custom_diffusion_weights.bin
- Command line
-
hf download hf://SidXXD/encoder_attack_4-eps-0157-250/pytorch_custom_diffusion_weights.bin
-
curl -L -o pytorch_custom_diffusion_weights.bin https://huggingface.co/SidXXD/encoder_attack_4-eps-0157-250/resolve/main/pytorch_custom_diffusion_weights.bin
102 MB
- Xet hash:
- 9fbd9ab1e4996a3863c686d937f6faf701bac7e6424e88edc3d67a00096caae0
- Size of remote file:
- 102 MB
- SHA256:
- c9aacc56cbbd21f81185545437728040423f8de211d728e90716ef16d22a95c6
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