Text-to-Image
Diffusers
TensorBoard
Safetensors
stable-diffusion
stable-diffusion-diffusers
diffusers-training
lora
Instructions to use zhangyi617/sd14_coco_text_0.01 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use zhangyi617/sd14_coco_text_0.01 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("CompVis/stable-diffusion-v1-4", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("zhangyi617/sd14_coco_text_0.01") 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:
- b4a0fa55a9a97c409804b1e44b44196bd3ee60042d46b86352cdf1180ceab213
- Size of remote file:
- 479 kB
- SHA256:
- e64ed7047e731247665ab0029d6f88833aef40ffac4d335858836707dddfbb24
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