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_1.png from Alissonerdx/flux.1-dev-SRPO-LoRas: direct link, hf CLI and curl.
- Browser
- Download file 22.8 MB
-
https://huggingface.co/Alissonerdx/flux.1-dev-SRPO-LoRas/resolve/main/images/compare_oficial_lora_prompt_1.png
- Command line
-
hf download hf://Alissonerdx/flux.1-dev-SRPO-LoRas/images/compare_oficial_lora_prompt_1.png
-
curl -L -o compare_oficial_lora_prompt_1.png https://huggingface.co/Alissonerdx/flux.1-dev-SRPO-LoRas/resolve/main/images/compare_oficial_lora_prompt_1.png
22.8 MB
- Xet hash:
- afd8b68637e84624bcee0bb2c0f3530e72b8fa431c2dc48e0d6ba5c625e49c8f
- Size of remote file:
- 22.8 MB
- SHA256:
- 40176bc05b3ef4d1aa7243730a6267d87113153b3f65ab0ec81a54f43ebf0011
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