Instructions to use Mark000111888/llv2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Mark000111888/llv2 with Diffusers:
pip install -U diffusers transformers accelerate
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] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
Model Card for Model ID
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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
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Model tree for Mark000111888/llv2
Base model
runwayml/stable-diffusion-v1-5