Text-to-Image
Diffusers
TensorBoard
Safetensors
stable-diffusion
stable-diffusion-diffusers
diffusers-training
lora
Instructions to use zhangyi617/sd14_coco_text_0.02 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use zhangyi617/sd14_coco_text_0.02 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_0.02") 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:
- 159219c1e619560e2bfb7a18e25b7aad2b04c5e46dcf2cef5ac5bc0a710884a2
- Size of remote file:
- 473 kB
- SHA256:
- 72212ed28b28012644dc7b90418f3a1e5d80c6198e11665ddb9337c44477b3fc
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