Instructions to use monsterapi/sdxl_chinatown_finetuning with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use monsterapi/sdxl_chinatown_finetuning with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("monsterapi/sdxl_chinatown_finetuning", dtype=torch.bfloat16, device_map="cuda") prompt = "a landscape of a chinese food stall within a Chinese city" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
No-Code SDXL Finetuning using MonsterAPI
Input Dataset --
No-Code Solution: Use MonsterAPI to easily fine-tune the SDXL model.
Finetuning Documentation: Fine-tune an SDXL Model
Deploy Your Model: One-Click deploy your Finetuned SDXL model using MonsterAPI.
Finetune Stable Diffusion on your own images - Complete Guide
Deployment Documentation: Deploy Finetuned SDXL Model
training prompt: a landscape of a chinese food stall within a Chinese city
Output Image --
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Model tree for monsterapi/sdxl_chinatown_finetuning
Base model
stabilityai/stable-diffusion-xl-base-1.0
