Instructions to use noema-art/nerfmodel with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use noema-art/nerfmodel 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("noema-art/nerfmodel") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee

- Xet hash:
- ed35e3870e15785626ae45809bbc43734923ac6c27458f41ffffb4253292b4f0
- Size of remote file:
- 139 kB
- SHA256:
- 3d24f565978201f573150d7ab05f43f31a87261193929260ec29b7481e60b74e
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