Instructions to use Jaytsh/FLUX-Cry with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Jaytsh/FLUX-Cry 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", torch_dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("Jaytsh/FLUX-Cry") prompt = "-" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
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FK_pain_epoch_20.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:9f8d555f2fbc32a2a56b9278413b94b088ac93b7523ba1cc2e9fb35e423d7328
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size 165704424
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images/1a black space.png
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Git LFS Details
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