Instructions to use zjwfufu/SMD-FLUX.1-dev with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use zjwfufu/SMD-FLUX.1-dev 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("zjwfufu/SMD-FLUX.1-dev") 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 examples/sample.png from zjwfufu/SMD-FLUX.1-dev: direct link, hf CLI and curl.
- Browser
- Download file 1.11 MB
-
https://huggingface.co/zjwfufu/SMD-FLUX.1-dev/resolve/main/examples/sample.png
- Command line
-
hf download hf://zjwfufu/SMD-FLUX.1-dev/examples/sample.png
-
curl -L -o sample.png https://huggingface.co/zjwfufu/SMD-FLUX.1-dev/resolve/main/examples/sample.png
1.11 MB

- Xet hash:
- a8544153fd4ae59371d61524f4c8c053ffecf89ed02ee8efa7a64f16cc774b0a
- Size of remote file:
- 1.11 MB
- SHA256:
- a61a39845e2e87fb3a1313938edc6afa8a3ec5177350ed5cb4e5d0013df43a1e
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