Instructions to use danielrosehill/Jerusalem-Images with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use danielrosehill/Jerusalem-Images 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("danielrosehill/Jerusalem-Images") prompt = "A street scene in REALJLM" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Add 3 files
Browse files- flux-lora.safetensors +3 -0
- images/out-2.webp +3 -0
flux-lora.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:4ff5e29b33a0b2547cb0f98cebc8360a30db81575550e58220ae21563373b98d
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size 171969920
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images/out-2.webp
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Git LFS Details
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