Text-to-Image
Diffusers
TensorBoard
diffusers-training
dora
template:sd-lora
stable-diffusion-xl
stable-diffusion-xl-diffusers
Instructions to use skirano/bottle_doRA with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use skirano/bottle_doRA with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("skirano/bottle_doRA", dtype=torch.bfloat16, device_map="cuda") prompt = "a photo of TOK dog" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 71d029f80989c2a29a1a278a8386ad1c4510f2a358c6380a2e873166381795b7
- Size of remote file:
- 26.1 MB
- SHA256:
- 80531b76440284ebea85076acae1792f27d2c116d6e486d27b7a82e3ffe16fea
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