Instructions to use graceyun/dsv3fb_lr_0.0002_steps_4200_rank_16_bs_12 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use graceyun/dsv3fb_lr_0.0002_steps_4200_rank_16_bs_12 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("graceyun/dsv3fb_lr_0.0002_steps_4200_rank_16_bs_12") prompt = "a PXCON, a 16-bit pixel art icon of a brown puppy, on a white background" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee

- Xet hash:
- df3e23ca3e5fbd0bc500d19fa6e9fe76410dc27464a3aac0c9be49f564c5bb22
- Size of remote file:
- 254 kB
- SHA256:
- 287f4739d5d7c3dbbe0dce8a17086e74774ff23b71d00d90b19f46712925cbb8
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