Text-to-Image
Diffusers
TensorBoard
Safetensors
stable-diffusion
stable-diffusion-diffusers
custom-diffusion
import torch
from diffusers import DiffusionPipeline
# switch to "mps" for apple devices
pipe = DiffusionPipeline.from_pretrained("SidXXD/encoder_attack-1", dtype=torch.bfloat16, device_map="cuda")
prompt = "photo of a <v1*> cat"
image = pipe(prompt).images[0]Custom Diffusion - SidXXD/encoder_attack-1
These are Custom Diffusion adaption weights for stabilityai/stable-diffusion-2-1-base. The weights were trained on photo of a <v1*> cat using Custom Diffusion. You can find some example images in the following.
For more details on the training, please follow this link.
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Base model
stabilityai/stable-diffusion-2-1-base