Text-to-Image
Diffusers
Safetensors
StableDiffusionPipeline
stable-diffusion
stable-diffusion-diffusers
diffusers-training
lora
merged
Instructions to use magnusdtd/SynFER with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use magnusdtd/SynFER with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("stable-diffusion-v1-5/stable-diffusion-v1-5", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("magnusdtd/SynFER") 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
- Xet hash:
- 680a1b511ce06bd0e81c9de73718d9961dcdae3a328bbbebffadf05b80db110e
- Size of remote file:
- 3.4 MB
- SHA256:
- f4aa905035f18978f3ed069fd9a3dcc860d0e4fae1f7c86d06d1efc7cb131e68
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