Instructions to use mgurin/minestrel with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use mgurin/minestrel with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("RunDiffusion/Juggernaut-XL-v9", torch_dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("mgurin/minestrel") prompt = "-" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
import torch
from diffusers import DiffusionPipeline
# switch to "mps" for apple devices
pipe = DiffusionPipeline.from_pretrained("RunDiffusion/Juggernaut-XL-v9", torch_dtype=torch.bfloat16, device_map="cuda")
pipe.load_lora_weights("mgurin/minestrel")
prompt = "-"
image = pipe(prompt).images[0]- Downloads last month
- 10
Model tree for mgurin/minestrel
Base model
stabilityai/stable-diffusion-xl-base-1.0 Finetuned
RunDiffusion/Juggernaut-XL-v9