Instructions to use Mark000111888/JLaw with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Mark000111888/JLaw 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/JLaw", 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 Settings
- Draw Things
- DiffusionBee
Model Card for Model ID
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Model Details
Model Description
used dreambooth without caption
used ~5 training images, 50 regurization images of models
Trained for ~30mins
max_training_steps=1000
civitai link: https://civitai.com/models/27030
try prompt: "model photoshoot of zwx, with a black background"
Welcome to our discord channel: https://discord.com/invite/qM84dzKC
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Model tree for Mark000111888/JLaw
Base model
runwayml/stable-diffusion-v1-5