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 Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 119a5dbe7b86797761d0aadd446d6a7b89dccff56dc2794753c353d0f2216c4a
- Size of remote file:
- 26.5 MB
- SHA256:
- 806c7500ad9a72483099d4a9307952290642934bf881f66fda7f5e62b849024e
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