Instructions to use Rand000mGuy/trr_dd with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Rand000mGuy/trr_dd with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("John6666/ilustmix-v9-sdxl", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("Rand000mGuy/trr_dd") 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("John6666/ilustmix-v9-sdxl", dtype=torch.bfloat16, device_map="cuda")
pipe.load_lora_weights("Rand000mGuy/trr_dd")
prompt = "-"
image = pipe(prompt).images[0]- Downloads last month
- 3
Model tree for Rand000mGuy/trr_dd
Base model
KBlueLeaf/kohaku-xl-beta5 Finetuned
John6666/ilustmix-v9-sdxl