Instructions to use tb2022/20250702-2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use tb2022/20250702-2 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("9Clarkmd/ollie2-0", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("tb2022/20250702-2") prompt = "123" 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("9Clarkmd/ollie2-0", dtype=torch.bfloat16, device_map="cuda")
pipe.load_lora_weights("tb2022/20250702-2")
prompt = "123"
image = pipe(prompt).images[0]123

- Prompt
- 123
- Negative Prompt
- 13
Model description
123
Trigger words
You should use 123 to trigger the image generation.
Download model
Download them in the Files & versions tab.
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