Text-to-Image
Diffusers
TensorBoard
Safetensors
stable-diffusion
stable-diffusion-diffusers
custom-diffusion
Instructions to use SidXXD/encoder_attack_4-eps-0039-250 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use SidXXD/encoder_attack_4-eps-0039-250 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-0039-250", 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-0039-250: direct link, hf CLI and curl.
- Browser
- Download file 102 MB
-
https://huggingface.co/SidXXD/encoder_attack_4-eps-0039-250/resolve/main/pytorch_custom_diffusion_weights.bin
- Command line
-
hf download hf://SidXXD/encoder_attack_4-eps-0039-250/pytorch_custom_diffusion_weights.bin
-
curl -L -o pytorch_custom_diffusion_weights.bin https://huggingface.co/SidXXD/encoder_attack_4-eps-0039-250/resolve/main/pytorch_custom_diffusion_weights.bin
102 MB
- Xet hash:
- 376ff73e2ca30ce00cefc3c98c93e356d27781f21133a8413a2c7607f1843555
- Size of remote file:
- 102 MB
- SHA256:
- 55f463cab112c9e4c5445168f007c6c69a6b23cb707e3cf1a863f4754a04f811
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