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:
- 4196f45a6b244f4900f9fb166425223da53c06e669d4ff3eaa4d107f440e7ea5
- Size of remote file:
- 283 kB
- SHA256:
- 614a06804adf7884b498f36c713d782120a2634500389c89505b63828c5c135f
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