Text-to-Image
Diffusers
TensorBoard
Safetensors
StableDiffusionPipeline
stable-diffusion
stable-diffusion-diffusers
textual_inversion
diffusers-training
lora
template:sd-lora
sd3
sd3-diffusers
Instructions to use SidXXD/m-451 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use SidXXD/m-451 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("SidXXD/m-451") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
- 1730649882.3693461
- 1730649882.3709927
- 1730727340.2421465
- 1730727340.243755
- 1730772063.2638614
- 1730772063.2655916
- 1730787816.0157664
- 1730787816.0173514
- 1733196626.2565894
- 1733196626.2581596
- 1733196790.5099955
- 1733196790.511609
- 1733234212.3327258
- 1733234212.3345437
- 1733234519.590272
- 1733234519.5918982
- 1733272250.7114294
- 1733272250.7134228
- 1733272511.4246855
- 1733272511.4267426
- 1733310247.0826755
- 1733310247.084468
- 1733310370.309965
- 1733310370.3119624
- 1733434385.2350938
- 1733434385.2367973
- 1733434408.325214
- 1733434408.3269532
- 1733434471.7583904
- 1733434471.7599683
- 1733434603.6637666
- 1733434603.6653793
- 1733472853.4137046
- 1733472853.4153287
- 1733472971.015247
- 1733472971.0168858
- 1733473000.4608839
- 1733473000.4626002
- 1733511074.751076
- 1733511074.752772
- 1733511498.4280207
- 1733511498.4300265
- 1733511728.9061701
- 1733511728.9078367
- 1733548721.6843815
- 1733548721.6861103
- 1733549428.5977902
- 1733549428.599458
- 1733549683.5868287
- 1733549683.5885196