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
- Draw Things
- DiffusionBee
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README.md
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license: fair-noncommercial-research-license
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datasets:
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- bitmind/celeb-a-hq
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base_model:
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tags:
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- text-to-image
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license: fair-noncommercial-research-license
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datasets:
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- bitmind/celeb-a-hq
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base_model:
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- h94/IP-Adapter-FaceID
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---
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tags:
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- text-to-image
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