Text-to-Image
Diffusers
stable-diffusion
ip-adapter
face-id
identity-preservation
portrait
rishabh-in-code
Instructions to use RishabhInCode/TrueFace-Adapter with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use RishabhInCode/TrueFace-Adapter with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("RishabhInCode/TrueFace-Adapter", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 9676caf3bec38f8e69ab8dd8cb9b01dd0894db38512de6d7e22ea210a6de078e
- Size of remote file:
- 134 MB
- SHA256:
- 799220769a78382dbe46835d4af6e93e130ff85d925f9288b614ba640bcabcac
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