Instructions to use wkplhc/comic with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use wkplhc/comic 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("wkplhc/comic") prompt = "comic" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
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Browse files
images/workspace_trainsamples_777275740818300034_c5c4bde1-8f6b-4eb5-a90b-d9c359b97f82.png
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lora.by_tusi (1).safetensors
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version https://git-lfs.github.com/spec/v1
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