import torch
from diffusers import DiffusionPipeline
# switch to "mps" for apple devices
pipe = DiffusionPipeline.from_pretrained("Mark000111888/llv2", dtype=torch.bfloat16, device_map="cuda")
prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k"
image = pipe(prompt).images[0]Model Card for Model ID
This modelcard aims to be a base template for new models. It has been generated using this raw template.
Model Details
Model Description
used everydream2 on runpod
used ~25 training images, captioned with BLIP (short captions)
half of them contain humans, half of them contain only objects.
the background of some images were deleted
Trained for ~1h
max_epoch=100
civitai link: https://civitai.com/models/25898
try prompt: "a group of people reading books"
Welcome to our discord channel: https://discord.com/invite/qM84dzKC
- Downloads last month
- 2
Model tree for Mark000111888/llv2
Base model
runwayml/stable-diffusion-v1-5