Instructions to use yyyyyxie/textflux-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use yyyyyxie/textflux-lora with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("yyyyyxie/textflux-lora", 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
- Xet hash:
- 040c9a40a37711e15dba6b68ba9dd74769cf4b226ef1fb21e68cb2637e2c10b8
- Size of remote file:
- 717 MB
- SHA256:
- 175b32963e41b0b835b9325470048be7e7767ae3424ac194d9fa83a3bed08259
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