Text-to-Image
Diffusers
TensorBoard
Safetensors
stable-diffusion
stable-diffusion-diffusers
custom-diffusion
Instructions to use SidXXD/encoder_attack_4-eps-0620-250 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use SidXXD/encoder_attack_4-eps-0620-250 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-0620-250", dtype=torch.bfloat16, device_map="cuda") prompt = "photo of a <v1*> dog" 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-0620-250: direct link, hf CLI and curl.
- Browser
- Download file 102 MB
-
https://huggingface.co/SidXXD/encoder_attack_4-eps-0620-250/resolve/main/pytorch_custom_diffusion_weights.bin
- Command line
-
hf download hf://SidXXD/encoder_attack_4-eps-0620-250/pytorch_custom_diffusion_weights.bin
-
curl -L -o pytorch_custom_diffusion_weights.bin https://huggingface.co/SidXXD/encoder_attack_4-eps-0620-250/resolve/main/pytorch_custom_diffusion_weights.bin
102 MB
- Xet hash:
- e5e43321a4289058da930aef350e3759110dd0a86a2d4c1ff9d7de700d060d6d
- Size of remote file:
- 102 MB
- SHA256:
- 0b0cb3557d9eb1e23cf6d7be75057547bf6e875b97af01acd6662e823e66aada
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