Instructions to use Muapi/norman-rockwell with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Muapi/norman-rockwell 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("Muapi/norman-rockwell") 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
Upload norman-rockwell.safetensors with huggingface_hub
Browse files
norman-rockwell.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:e450a89c7e0b01738a764b353a416b6d009d2abaf39fa0f4258c0fb1f930c9c1
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size 19361128
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