Instructions to use AIARTCHAN/camelliamix_v2.0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use AIARTCHAN/camelliamix_v2.0 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("AIARTCHAN/camelliamix_v2.0", 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 Settings
- Draw Things
- DiffusionBee
import torch
from diffusers import DiffusionPipeline
# switch to "mps" for apple devices
pipe = DiffusionPipeline.from_pretrained("AIARTCHAN/camelliamix_v2.0", dtype=torch.bfloat16, device_map="cuda")
prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k"
image = pipe(prompt).images[0]camelliamix_v2.0
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License
Based on creativeml-openrail-m, additionally no commercial use, no redistribution.
병합모델
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추천설정
Sampling method : DPM++ SDE Karras
Clip skip : 2
Hires.fix upscaler : R-ESRGAN 4x+Anime6B
CFG Scale : 7~10
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