Text-to-Image
Diffusers
Trained with AutoTrain
stable-diffusion
stable-diffusion-diffusers
lora
template:sd-lora
Instructions to use dominic1021/akjx with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use dominic1021/akjx with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("AstraliteHeart/pony-diffusion", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("dominic1021/akjx") prompt = "akjx woman" 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("AstraliteHeart/pony-diffusion", dtype=torch.bfloat16, device_map="cuda")
pipe.load_lora_weights("dominic1021/akjx")
prompt = "akjx woman"
image = pipe(prompt).images[0]AutoTrain LoRA DreamBooth - dominic1021/akjx
These are LoRA adaption weights for AstraliteHeart/pony-diffusion. The weights were trained on akjx woman using DreamBooth. LoRA for the text encoder was enabled: False.
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Base model
AstraliteHeart/pony-diffusion