Text-to-Image
Diffusers
TensorBoard
stable-diffusion-xl
stable-diffusion-xl-diffusers
diffusers-training
lora
Instructions to use Jayw1/lora_baimiao with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Jayw1/lora_baimiao with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("playgroundai/playground-v2.5-1024px-aesthetic", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("Jayw1/lora_baimiao") 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:
- fcfdbe11da535fc315b2478dacbbb50a59efb20882a6672ec2d6b7a9892f627d
- Size of remote file:
- 23.4 MB
- SHA256:
- 5296c5ba66702726d9c5523d3f26dcb1c882d1a61eaae280a4f746af31d7b368
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