Text-to-Image
Diffusers
TensorBoard
Safetensors
StableDiffusionPipeline
stable-diffusion
stable-diffusion-diffusers
textual_inversion
diffusers-training
pip install -U diffusers transformers accelerate
import torch
from diffusers import DiffusionPipeline
# switch to "mps" for apple devices
pipe = DiffusionPipeline.from_pretrained("runwayml/stable-diffusion-v1-5", dtype=torch.bfloat16, device_map="cuda")
pipe.load_textual_inversion("Jayseon/dog1")Textual inversion text2image fine-tuning - Jayseon/dog1
These are textual inversion adaption weights for runwayml/stable-diffusion-v1-5. You can find some example images in the following.
Intended uses & limitations
How to use
# TODO: add an example code snippet for running this diffusion pipeline
Limitations and bias
[TODO: provide examples of latent issues and potential remediations]
Training details
[TODO: describe the data used to train the model]
- Downloads last month
- -
Model tree for Jayseon/dog1
Base model
runwayml/stable-diffusion-v1-5
# Gated model: Login with a HF token with gated access permission hf auth login