Instructions to use Alissonerdx/flux.1-dev-SRPO-LoRas with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Alissonerdx/flux.1-dev-SRPO-LoRas with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Alissonerdx/flux.1-dev-SRPO-LoRas", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download images/compare_oficial_lora_prompt_8.png from Alissonerdx/flux.1-dev-SRPO-LoRas: direct link, hf CLI and curl.
- Browser
- Download file 13.8 MB
-
https://huggingface.co/Alissonerdx/flux.1-dev-SRPO-LoRas/resolve/main/images/compare_oficial_lora_prompt_8.png
- Command line
-
hf download hf://Alissonerdx/flux.1-dev-SRPO-LoRas/images/compare_oficial_lora_prompt_8.png
-
curl -L -o compare_oficial_lora_prompt_8.png https://huggingface.co/Alissonerdx/flux.1-dev-SRPO-LoRas/resolve/main/images/compare_oficial_lora_prompt_8.png
13.8 MB
- Xet hash:
- 8503809d23af1950e9a5132b26dce86cf87f6fe8f8285975c94d859bf4b1fa09
- Size of remote file:
- 13.8 MB
- SHA256:
- 9dbe69fb78266e30e6391c1754ea98470bde48e11354f545caa4da7e37fd1ea0
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