Instructions to use Tiraniel/amy_test with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Tiraniel/amy_test 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", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("Tiraniel/amy_test") prompt = "amy_face" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Add amy_test.safetensors
Browse files- amy_test.safetensors +3 -0
amy_test.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:0f7635c6a7f9ff977365e18cd2cdf421970d3215878b10d8d131b7f589996d07
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size 89745224
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