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:
- 639c1fc312927e1f0627c83f4fb2d24d8414054b88d64a4a49ef5b12a0f3e18d
- Size of remote file:
- 14.9 kB
- SHA256:
- 65989d11a0e33b9af69595464b916a2638a8965f93dfcee239a0744fd4b1d502
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