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("Docty/dreambooth-soldier", dtype=torch.bfloat16, device_map="cuda")
prompt = "gingarun very dark skin chocolate black woman with big breasts, full lips, big butt, at park, braids, floral dress, side view, deep cleavage, smiling, looking straight, busty, 21 years old"
image = pipe(prompt).images[0]DreamBooth - Docty/dreambooth-soldier
This is a dreambooth model derived from stable-diffusion-v1-5/stable-diffusion-v1-5. The weights were trained on gingarun very dark skin chocolate black woman with big breasts, full lips, big butt, at park, braids, floral dress, side view, deep cleavage, smiling, looking straight, busty, 21 years old using DreamBooth. You can find some example images in the following.
DreamBooth for the text encoder was enabled: False.
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 Docty/dreambooth-soldier
Base model
stable-diffusion-v1-5/stable-diffusion-v1-5