Text-to-Image
Diffusers
Safetensors
StableDiffusionPipeline
stable-diffusion
stable-diffusion-diffusers
Instructions to use digiplay/OldFish_v1.1_diffusers_recover with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use digiplay/OldFish_v1.1_diffusers_recover with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("digiplay/OldFish_v1.1_diffusers_recover", 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
- Xet hash:
- 17f1cd2f8ee7a70371f68dd8f22ca28e707d94fc05a6b92eca25c8584ac68bad
- Size of remote file:
- 492 MB
- SHA256:
- c7eabdde5b3d08da9a51e22cda3ab03aecedb11a387c59387096078493eaebc8
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