Instructions to use ulanyum/fluxUltraRealisticV2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use ulanyum/fluxUltraRealisticV2 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("stabilityai/stable-diffusion-3.5-large", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("ulanyum/fluxUltraRealisticV2") prompt = "-" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
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fluxUltraRealisticV2.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:b1c4ddf95671e6b51817b4f3802865e544040c232c467e76b1cb0c251bd6b634
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size 2144814104
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images/how-to-get-photorealistic-lora-of-specific-person-with-high-v0-ohgl55f66xab1.webp
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Git LFS Details
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