Instructions to use ChandrilBasu/Dom with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use ChandrilBasu/Dom 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("ChandrilBasu/Dom") prompt = "-" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
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Browse files
Domwissel_FLUX.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:64fed0315b728e9cd036ed7c9638e0b7349eec34b1d4f1e8193cbe47e17db09d
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size 306793048
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images/818105443839820426.png
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Git LFS Details
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