Instructions to use ALT2/123cfcx with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use ALT2/123cfcx with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("TheMistoAI/MistoLine", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("ALT2/123cfcx") prompt = "e" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
23

- Prompt
- e
- Negative Prompt
- f
Model description
232sfsdcszcz
Trigger words
You should use erererer to trigger the image generation.
Download model
Download them in the Files & versions tab.
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Model tree for ALT2/123cfcx
Base model
TheMistoAI/MistoLine