Text-to-Image
Diffusers
TensorBoard
Safetensors
stable-diffusion-xl
stable-diffusion-xl-diffusers
diffusers-training
lora
Instructions to use ahbpp/sdxl-lora-finetune-ham10000-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use ahbpp/sdxl-lora-finetune-ham10000-v2 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("stabilityai/stable-diffusion-xl-base-1.0", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("ahbpp/sdxl-lora-finetune-ham10000-v2") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- bb9abff9df22c3ec5c7f4efd785d8673e796272d06cef490beb06f2100c7382e
- Size of remote file:
- 6.59 MB
- SHA256:
- 4d22d4c0e0b53501f861050d3d3b76407c88673b15b2ec744cc6c0376560410e
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