Instructions to use furaidosu/samhtr with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use furaidosu/samhtr 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("furaidosu/samhtr") prompt = "dott style, an end street to a high clif over the ocean, little town, capri,point and click game background,50s cartoon style picture, swirly clouds, perspective distortion, surrealistic look, twisted elements, skewed architectural, 360 panorama, 2 vanishing points perspective, cell painting" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
Sam & Max Hit the Road (synthetic data)

- Prompt
- dott style, an end street to a high clif over the ocean, little town, capri,point and click game background,50s cartoon style picture, swirly clouds, perspective distortion, surrealistic look, twisted elements, skewed architectural, 360 panorama, 2 vanishing points perspective, cell painting
- Negative Prompt
- outlines, lineart, washed out colors
Model description
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Model tree for furaidosu/samhtr
Base model
stabilityai/stable-diffusion-xl-base-1.0