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 Settings
- Draw Things
- DiffusionBee
Commit History
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Adding `diffusers` weights of this model
This PR adds fp32 and fp16 weights in PyTorch and safetensors format to Yntec/OrangeRemix1a1852a -
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Upload README.md
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Upload model_index.json
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Delete safety_checker
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Adding `diffusers` weights of this model (#1)
- Adding `diffusers` weights of this model (cc993f308773f054e2b3fc91b040485b2a3c8b76)74b6408 -
Rename Belynight.safetensors to OrangeRemix.safetensors
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Rename BEly.safetensors to OrangeRemixBeta.safetensors
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