Instructions to use piEsposito/openpotionbottle-v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use piEsposito/openpotionbottle-v1 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("piEsposito/openpotionbottle-v1", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
Open Potion Bottle v1 Dreambooth model trained by piEsposito with open weights, configs and prompts (as it should be)
- Concept:
potionbottle
You can run this concept via diffusers Colab Notebook for Inference
Sample pictures of this concept:
potionbottle
Usage examples
Prompt: green potionbottle, perfectly ornated, intricate details, 3d render vray, beautiful, trending on artstation
CFG Scale: 10
Scheduler:
diffusers.EulerAncestralDiscreteSchedulerSteps: 30
Prompt: fantasy dragon as potionbottle, perfectly ornated, intricate details, 3d render vray, beautiful, trending on artstation
CFG Scale: 10
Scheduler:
diffusers.EulerAncestralDiscreteSchedulerSteps: 30

By https://twitter.com/piesposi_to
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