Instructions to use xgemstarx/cute_model2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use xgemstarx/cute_model2 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("xgemstarx/cute_model2") prompt = "a photo of xjiminx" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 46f15adba4645efb03474d2b4489c09341ddc9d24e36c6ffb864520eb1f570f5
- Size of remote file:
- 79.2 MB
- SHA256:
- 65c494fd80471fd6ae46ad4ed1cea16c89c9701d5414f7891c0d02b569620424
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