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:
- 5cbe84d1054aa45e818d7ca158a3480700d3f60db125dab4d72c7189040c4bed
- Size of remote file:
- 277 kB
- SHA256:
- fecf775d6d7f538416608fb31cdd1b4809e39d33adda0c73ef649547f8feb1a0
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