Text-to-Image
Diffusers
Safetensors
StableDiffusionPipeline
stable-diffusion
stable-diffusion-diffusers
WarriorMama777
NovelAI
AnythingV3.0
hesw23168
Instructions to use Yntec/OrangeRemix with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Yntec/OrangeRemix with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Yntec/OrangeRemix", 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
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README.md
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Merge Name
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# OrangeRemix
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Or something like that, I didn't keep notes!
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# OrangeRemix
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STEP 8:
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No Interpolation
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Primary Model
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# OrangeRemix
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Bake in VAE
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# color101VAE_v1.pt
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# OrangeRemixCVAE
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