Text-to-Image
Diffusers
Safetensors
StableDiffusionPipeline
Anime
Illustration
Cartoon
Fantasy
Sci Fi
stable-diffusion
stable-diffusion-diffusers
s6yx
Instructions to use Yntec/ReVive with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Yntec/ReVive 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/ReVive", 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
Verified signatureThis PR adds fp32 and fp16 weights in PyTorch and safetensors format to Yntec/ReVivec05e17a -
Update scheduler/scheduler_config.json
Verified signaturee3da809
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Update scheduler/scheduler_config.json
Verified signaturec82f913 -
Adding `diffusers` weights of this model (#1)
Verified signature- Adding `diffusers` weights of this model (3bce6e1f20d0a811de82db3ae3efb0fbc482c66f)2eacb2c