Instructions to use passionful7/Linen-Like-black with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use passionful7/Linen-Like-black 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/stable-diffusion-3-medium-diffusers", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("passionful7/Linen-Like-black") prompt = "Linen-Like Extra Wide Pants - black" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
import torch
from diffusers import DiffusionPipeline
# switch to "mps" for apple devices
pipe = DiffusionPipeline.from_pretrained("stabilityai/stable-diffusion-3-medium-diffusers", dtype=torch.bfloat16, device_map="cuda")
pipe.load_lora_weights("passionful7/Linen-Like-black")
prompt = "Linen-Like Extra Wide Pants - black"
image = pipe(prompt).images[0]SD3 DreamBooth LoRA - passionful7/Linen-Like-black
Model description
These are passionful7/Linen-Like-black DreamBooth weights for stabilityai/stable-diffusion-3-medium-diffusers.
The weights were trained using DreamBooth.
LoRA for the text encoder was enabled: True.
Trigger words
You should use Linen-Like Extra Wide Pants - black to trigger the image generation.
Download model
Download them in the Files & versions tab.
License
Please adhere to the licensing terms as described here.
Intended uses & limitations
How to use
# TODO: add an example code snippet for running this diffusion pipeline
Limitations and bias
[TODO: provide examples of latent issues and potential remediations]
Training details
[TODO: describe the data used to train the model]
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