import torch
from diffusers import DiffusionPipeline
# switch to "mps" for apple devices
pipe = DiffusionPipeline.from_pretrained("anotherjesse/scedit-trained-xl", dtype=torch.bfloat16, device_map="cuda")
prompt = "A photo of sbu dog in a bucket"
image = pipe(prompt).images[0]SDXL SCEdit DreamBooth - anotherjesse/scedit-trained-xl
- Prompt
- A photo of sbu dog in a bucket
- Prompt
- A photo of sbu dog in a bucket
- Prompt
- A photo of sbu dog in a bucket
- Prompt
- A photo of sbu dog in a bucket
Model description
These are anotherjesse/scedit-trained-xl SC-Tuner adaption weights for stabilityai/stable-diffusion-xl-base-1.0.
The weights were trained using DreamBooth.
Special VAE used for training: None.
Trigger words
You should use a photo of sbu dog to trigger the image generation.
Download model
Weights for this model are available in Safetensors format.
Download them in the Files & versions tab.
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Model tree for anotherjesse/scedit-trained-xl
Base model
stabilityai/stable-diffusion-xl-base-1.0