Text-to-Image
Diffusers
Safetensors
StableDiffusionPipeline
stable-diffusion
stable-diffusion-diffusers
Eagelaxis
Pavo
Instructions to use Yntec/Pavo-Mix-Diffusers with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Yntec/Pavo-Mix-Diffusers 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/Pavo-Mix-Diffusers", 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
Adding `diffusers` weights of this model
Browse filesThis PR adds fp32 and fp16 weights in PyTorch and safetensors format to Yntec/Pavo-Mix-Diffusers
model_index.json
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"transformers",
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"CLIPFeatureExtractor"
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"requires_safety_checker":
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"safety_checker": [
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"scheduler": [
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"diffusers",
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"transformers",
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"CLIPFeatureExtractor"
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"requires_safety_checker": true,
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"safety_checker": [
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"stable_diffusion",
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"StableDiffusionSafetyChecker"
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],
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"scheduler": [
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"diffusers",
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unet/diffusion_pytorch_model.bin
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unet/diffusion_pytorch_model.fp16.bin
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unet/diffusion_pytorch_model.fp16.safetensors
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