Instructions to use Muapi/fluorescentizer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Muapi/fluorescentizer 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/fluorescentizer") 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
Download fluorescentizer.safetensors from Muapi/fluorescentizer: direct link, hf CLI and curl.
- Browser
- Download file 38.4 MB
-
https://huggingface.co/Muapi/fluorescentizer/resolve/main/fluorescentizer.safetensors
- Command line
-
hf download hf://Muapi/fluorescentizer/fluorescentizer.safetensors
-
curl -L -o fluorescentizer.safetensors https://huggingface.co/Muapi/fluorescentizer/resolve/main/fluorescentizer.safetensors
38.4 MB
- Xet hash:
- dcc3d4a021ab3a782b0e83eee6dab9c8faac06f145e491aaea8538ac6ba8f273
- Size of remote file:
- 38.4 MB
- SHA256:
- 923fae2a0d9e1f40981d7705f24aa0d3c6846ff3f5f0f4e017fe569b19a5a0d2
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.