Instructions to use agmjd/citlali with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use agmjd/citlali with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("OnomaAIResearch/Illustrious-xl-early-release-v0", torch_dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("agmjd/citlali") 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("OnomaAIResearch/Illustrious-xl-early-release-v0", torch_dtype=torch.bfloat16, device_map="cuda")
pipe.load_lora_weights("agmjd/citlali")
prompt = "-"
image = pipe(prompt).images[0]https://www.liblib.art/modelinfo/6e46e1d7fb8a4e45bd532fe3718fc6fe?from=sd&versionUuid=0510e902960e40319dcca4756577a9c8

- Prompt
- -
Download model
Download them in the Files & versions tab.
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Model tree for agmjd/citlali
Base model
KBlueLeaf/kohaku-xl-beta5