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]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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