Text-to-Image
Diffusers
TensorBoard
stable-diffusion-xl
stable-diffusion-xl-diffusers
lora
template:sd-lora
Instructions to use iamkprasad/SeetaXL with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use iamkprasad/SeetaXL with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Lykon/AAM_XL_AnimeMix", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("iamkprasad/SeetaXL") prompt = "a photo of s33ta person, anime" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
SDXL LoRA DreamBooth - iamkprasad/s33ta
Model description
These are iamkprasad/s33ta LoRA adaption weights for Lykon/AAM_XL_AnimeMix.
The weights were trained using DreamBooth.
LoRA for the text encoder was enabled: False.
Special VAE used for training: madebyollin/sdxl-vae-fp16-fix.
Trigger words
You should use a photo of s33ta person, anime to trigger the image generation.
Download model
Weights for this model are available in Safetensors format.
Download them in the Files & versions tab.
- Downloads last month
- 10
Model tree for iamkprasad/SeetaXL
Base model
Lykon/AAM_XL_AnimeMix