Instructions to use SidXXD/f-196 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use SidXXD/f-196 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("SidXXD/f-196", dtype=torch.bfloat16, device_map="cuda") prompt = "photo of a <v1*> person" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
- 1730646571.8222992
- 1730646571.8239322
- 1730722361.1654732
- 1730722361.1671007
- 1730767326.3043368
- 1730767326.3058913
- 1730783145.658308
- 1730783145.660047
- 1731342629.9603117
- 1731342629.961899
- 1731346866.9894788
- 1731346866.9912524
- 1731351087.58737
- 1731351087.5891461
- 1731355273.1861207
- 1731355273.1878426
- 1731359607.0921566
- 1731359607.0939379
- 1731363773.2523196
- 1731363773.2543416
- 1731368038.134011
- 1731368038.135836
- 1731372236.5549946
- 1731372236.5566485
- 1731375890.4387553
- 1731375890.4408803
- 1731380060.1922147
- 1731380060.193772
- 1731384064.5814986
- 1731384064.5832946
- 20.8 kB xet
- 20.8 kB xet
- 20.8 kB xet
- 20.8 kB xet
- 20.8 kB xet
- 20.8 kB xet
- 20.8 kB xet
- 20.8 kB xet
- 20.8 kB xet
- 20.8 kB xet
- 20.8 kB xet
- 20.8 kB xet
- 20.8 kB xet
- 20.8 kB xet
- 20.8 kB xet