Instructions to use AlexanderLab/874vmc with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use AlexanderLab/874vmc with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("black-forest-labs/FLUX.1-dev", torch_dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("AlexanderLab/874vmc") prompt = "874mvc" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 3f3ea4444d3198481b7cba24b21b770c77195c45a377255b50e03c6e5fb3bb63
- Size of remote file:
- 172 MB
- SHA256:
- 3af67330431e4e73a2cba84bc6103850843c580c1111942143fddc99fa31da6b
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