Text-to-Image
Diffusers
TensorBoard
Safetensors
StableDiffusionPipeline
dreambooth
diffusers-training
stable-diffusion
stable-diffusion-diffusers
import torch
from diffusers import DiffusionPipeline
# switch to "mps" for apple devices
pipe = DiffusionPipeline.from_pretrained("danielajisafe/trainable_text", dtype=torch.bfloat16, device_map="cuda")
prompt = "a photo of sks dog"
image = pipe(prompt).images[0]DreamBooth - danielajisafe/trainable_text
This is a dreambooth model derived from CompVis/stable-diffusion-v1-4. The weights were trained on a photo of sks dog using DreamBooth. You can find some example images in the following.
DreamBooth for the text encoder was enabled: True.
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]
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Model tree for danielajisafe/trainable_text
Base model
CompVis/stable-diffusion-v1-4