Instructions to use Jonjew/SharenTheFirstDescendant with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Jonjew/SharenTheFirstDescendant 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("Jonjew/SharenTheFirstDescendant") prompt = "a realistic cinematic high angle film still of TFD-Sharen-Default-NoHelmet, a female cyborg in profile in a futuristic, armored suit is standing with hands on her hips on a dark smoky ground with intense red lighting and background. The ground is dirty and wet concrete with reflections of her. There are reflections from the wet reflective ground and puddles. She is looking away." image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
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