Instructions to use Jonjew/RachelCook with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Jonjew/RachelCook 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("Jonjew/RachelCook") prompt = "<lora:Rachel_Cook_Flux:1> beautiful detailed photograph, brown hair cascading over her shoulders, wearing a boatneck dress, standing in a cafe, looking at the viewer, smile" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
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Browse files
Rachel_Cook_Flux.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:cdfc83948a4f36fb264bad5fae6f4fe5af33ddb7ad4d80b75bcae42403687809
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size 19311424
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images/00015-288266579.jpeg
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Git LFS Details
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