Text-to-Image
Diffusers
Safetensors
StableDiffusionXLPipeline
stable-diffusion-xl
stable-diffusion-xl-diffusers
import torch
from diffusers import DiffusionPipeline
# switch to "mps" for apple devices
pipe = DiffusionPipeline.from_pretrained("MaxReynolds/SouderRocketLauncherNetCombined-XL-v0", dtype=torch.bfloat16, device_map="cuda")
prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k"
image = pipe(prompt).images[0]Text-to-image finetuning - MaxReynolds/SouderRocketLauncherNetCombined-XL-v0
This pipeline was finetuned from stabilityai/stable-diffusion-xl-base-1.0 on the MaxReynolds/Lee_Souder_Combined dataset. Below are some example images generated with the finetuned pipeline using the following prompt: Rocket Launcher by Lee Souder:
Special VAE used for training: madebyollin/sdxl-vae-fp16-fix.
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Base model
stabilityai/stable-diffusion-xl-base-1.0