Text-to-Image
Diffusers
TensorBoard
PyTorch
StableDiffusionPipeline
stable-diffusion
stable-diffusion-diffusers
riffusion
StableDiffusionPipeline
Instructions to use hdparmar/tradfusion-model-e4-v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use hdparmar/tradfusion-model-e4-v1 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("hdparmar/tradfusion-model-e4-v1", 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:
- 65c422fd83179e84198f9f5417b55f23d1ebdc9468c4bdf321c2663f547785d0
- Size of remote file:
- 14.6 GB
- SHA256:
- 267088dfe36c7586d0dae421643735c5ba8b8f48ad1e1552beee3af30e913dc2
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