Instructions to use AlekseyCalvin/ConsistencyV3-Flux_Diffusers with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use AlekseyCalvin/ConsistencyV3-Flux_Diffusers with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("AlekseyCalvin/ConsistencyV3-Flux_Diffusers", dtype=torch.bfloat16, device_map="cuda") prompt = "a woman sitting on a chair in a kitchen, from side, from above, cowboy shot, 1girl, sitting, from side, blue hair, green eyes" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 65b0cc40f50cac5edf11f8b6b89fb03c51e097cac28cc3ccc992d3756864e072
- Size of remote file:
- 4.53 GB
- SHA256:
- a5640855b301fcdbceddfa90ae8066cd9414aff020552a201a255ecf2059da00
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