Instructions to use aiomatic/ceousman with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use aiomatic/ceousman 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("aiomatic/ceousman") prompt = "ceousman" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
Upload ceousman-flux-lora.safetensors
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ceousman-flux-lora.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:316ca360ced79fd0f4a23b927620319b6395278f7b726593176f34dbb928b658
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size 171969920
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