Text-to-Image
Diffusers
TensorBoard
English
StableDiffusionPipeline
How to use from the
Use from the
Diffusers library
pip install -U diffusers transformers accelerate
import torch
from diffusers import DiffusionPipeline

# switch to "mps" for apple devices
pipe = DiffusionPipeline.from_pretrained("EnD-Diffusers/flowers-2-1-768", dtype=torch.bfloat16, device_map="cuda")

prompt = "fldsky1"
image = pipe(prompt).images[0]

Open In Spaces

Flowers 2.1 768 Dreambooth model trained by Duskfallcrew with Hugging Face Dreambooth Training Space with the v2-1-768 base model

You run your new concept via diffusers Colab Notebook for Inference. Don't forget to use the concept prompts!

Sample pictures of:

fldsky1 (use that on your prompt) Concept pictures will come back there was just way too many and i want to also upload the test pics later

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Dataset used to train EnD-Diffusers/flowers-2-1-768

Space using EnD-Diffusers/flowers-2-1-768 1