Text-to-Image
Diffusers
Trained with AutoTrain
stable-diffusion-xl
stable-diffusion-xl-diffusers
lora
template:sd-lora
Instructions to use adiktus9116/autotrain-o7bin-9bvhq with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use adiktus9116/autotrain-o7bin-9bvhq with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("stabilityai/sdxl-turbo", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("adiktus9116/autotrain-o7bin-9bvhq") prompt = "persik" 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("stabilityai/sdxl-turbo", dtype=torch.bfloat16, device_map="cuda")
pipe.load_lora_weights("adiktus9116/autotrain-o7bin-9bvhq")
prompt = "persik"
image = pipe(prompt).images[0]AutoTrain SDXL LoRA DreamBooth - adiktus9116/autotrain-o7bin-9bvhq
Model description
These are adiktus9116/autotrain-o7bin-9bvhq LoRA adaption weights for stabilityai/sdxl-turbo.
The weights were trained using DreamBooth.
LoRA for the text encoder was enabled: False.
Special VAE used for training: None.
Trigger words
You should use persik to trigger the image generation.
Download model
Weights for this model are available in Safetensors format.
Download them in the Files & versions tab.
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Model tree for adiktus9116/autotrain-o7bin-9bvhq
Base model
stabilityai/sdxl-turbo