How to use from the
Use from the
Diffusers library
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]

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

  1. used dreambooth without caption

  2. used ~5 training images, 50 regurization images of models

  3. Trained for ~30mins

  4. max_training_steps=1000

  5. 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

Downloads last month
2
Inference Providers NEW
This model isn't deployed by any Inference Provider. 🙋 Ask for provider support

Model tree for Mark000111888/JLaw

Finetuned
(586)
this model