Instructions to use liming518/thinpos3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use liming518/thinpos3 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("liming518/thinpos3") prompt = "-" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Upload FluxSinnyThinposv3.safetensors
Browse files
FluxSinnyThinposv3.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:ff5e5c032c627632d11b5c158fa8f8a3ba26d50212230233b6aef7b1b08b1e91
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size 19294336
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