Instructions to use codeShare/FLUX.2-klein-9b-SDNQ-2bit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use codeShare/FLUX.2-klein-9b-SDNQ-2bit with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("codeShare/FLUX.2-klein-9b-SDNQ-2bit", 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
Upload text_encoder component
Browse files- text_encoder/config.json +117 -119
- text_encoder/model.safetensors +3 -0
text_encoder/config.json
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"quantization_config": {
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"add_skip_keys": true,
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"dequantize_fp32": true,
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"dynamic_loss_threshold": 0.
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"group_size": 0,
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"is_integer": true,
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"is_training": false,
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"modules_dtype_dict": {
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@@ -367,7 +365,7 @@
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|
| 281 |
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|
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|
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|
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|
| 285 |
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|
| 286 |
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|
| 287 |
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|
| 288 |
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|
| 289 |
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|
| 290 |
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|
| 291 |
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|
| 292 |
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|
| 293 |
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|
| 294 |
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|
| 295 |
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|
| 296 |
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|
| 297 |
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|
| 298 |
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|
| 299 |
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|
| 300 |
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|
| 301 |
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|
| 302 |
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|
| 303 |
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|
| 304 |
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|
| 305 |
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|
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|
| 309 |
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|
| 311 |
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|
| 317 |
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|
| 318 |
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|
| 319 |
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|
| 320 |
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|
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|
| 322 |
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|
| 323 |
"modules_quant_config": {},
|
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|
| 325 |
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|
| 326 |
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|
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|
| 328 |
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|
| 329 |
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|
| 331 |
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| 332 |
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| 333 |
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| 342 |
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| 343 |
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| 344 |
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| 345 |
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| 346 |
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| 347 |
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|
| 349 |
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| 350 |
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"patch_emb"
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| 352 |
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|
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|
| 370 |
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|
text_encoder/model.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
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| 2 |
+
oid sha256:1773acdeab292c34081a64b68f74fc5697bef9b79b13bdc97b7603a9a775e3ac
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| 3 |
+
size 5962893544
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