Instructions to use umikaze/umiseMixV2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use umikaze/umiseMixV2 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("umikaze/umiseMixV2", 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
Update README.md
Browse files
README.md
CHANGED
|
@@ -5,7 +5,8 @@ pipeline_tag: text-to-image
|
|
| 5 |
tags:
|
| 6 |
- stable-diffusion
|
| 7 |
---
|
| 8 |
-
This model is a block-weighted merge of approximately 10-20
|
|
|
|
| 9 |
⚠ Currently in V3. V2 models are deprecated.
|
| 10 |
→ https://civitai.com/models/11627/umisemixv3
|
| 11 |
|
|
|
|
| 5 |
tags:
|
| 6 |
- stable-diffusion
|
| 7 |
---
|
| 8 |
+
This model is a block-weighted merge of approximately 10-20 model
|
| 9 |
+
|
| 10 |
⚠ Currently in V3. V2 models are deprecated.
|
| 11 |
→ https://civitai.com/models/11627/umisemixv3
|
| 12 |
|