Instructions to use wishhush/fs_ben1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use wishhush/fs_ben1 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("wishhush/fs_ben1") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Add fs_ben1.safetensors
Browse files- fs_ben1.safetensors +3 -0
fs_ben1.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:deec471487453a58d40d91a9b7cd0f100238c2838a985692dc5666323c04385f
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size 89745224
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