Instructions to use stabilityai/stable-diffusion-3-medium_amdgpu with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use stabilityai/stable-diffusion-3-medium_amdgpu with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("stabilityai/stable-diffusion-3-medium_amdgpu", 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
- Draw Things
- DiffusionBee
Update unet model data name to standard
#1
by owenzhangzhengzhong - opened
- stable-diffusion-3-medium_io16/unet/model.onnx +2 -2
- stable-diffusion-3-medium_io16/unet/{940107cc-dcde-11ef-8a7b-f0a65413afc2 → model.onnx.data} +0 -0
- stable-diffusion-3-medium_io32/unet/model.onnx +2 -2
- stable-diffusion-3-medium_io32/unet/{e3d4bd5a-dcd1-11ef-8028-f0a65413afc2 → model.onnx.data} +0 -0
stable-diffusion-3-medium_io16/unet/model.onnx
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
-
size
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:109b813258ad408e2913ef04b4fc1004fb61100d867fe0613297a87559d0bcdf
|
| 3 |
+
size 1189054
|
stable-diffusion-3-medium_io16/unet/{940107cc-dcde-11ef-8a7b-f0a65413afc2 → model.onnx.data}
RENAMED
|
File without changes
|
stable-diffusion-3-medium_io32/unet/model.onnx
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
-
size
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:97709678872e4098a65ba6517cd38ccf7b831b09a9666f54eddaaff14cbade94
|
| 3 |
+
size 1190062
|
stable-diffusion-3-medium_io32/unet/{e3d4bd5a-dcd1-11ef-8028-f0a65413afc2 → model.onnx.data}
RENAMED
|
File without changes
|