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_4.png from Alissonerdx/flux.1-dev-SRPO-LoRas: direct link, hf CLI and curl.
- Browser
- Download file 23.3 MB
-
https://huggingface.co/Alissonerdx/flux.1-dev-SRPO-LoRas/resolve/main/images/compare_oficial_lora_prompt_4.png
- Command line
-
hf download hf://Alissonerdx/flux.1-dev-SRPO-LoRas/images/compare_oficial_lora_prompt_4.png
-
curl -L -o compare_oficial_lora_prompt_4.png https://huggingface.co/Alissonerdx/flux.1-dev-SRPO-LoRas/resolve/main/images/compare_oficial_lora_prompt_4.png
23.3 MB
- Xet hash:
- dce20e55c1206971e1928b8af4d8ea0d4c9839016a8426a2cef06bfc8bde04cf
- Size of remote file:
- 23.3 MB
- SHA256:
- c963bfdb4591d4fc489b8420211c71f7d862f855ac73eb6055255dd5a4dfb74c
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